Parameter Types#

IParameter#

class IParameter#

Subclassed by aidi::param::BinaryPacks, aidi::param::BinaryTrainingParameters, aidi::param::LabelClasses, aidi::param::SchemableParameter

ISchemable#

struct ISchemable#

Json Schemable Class API.

A Json Schemable Class is a class that can be serialized to/deserialized from Json and can be validated by Json Schema.

Subclassed by aidi::param::AxialSideLengthRange, aidi::param::DataAugmentation, aidi::param::ExampleAugRotate, aidi::param::ExampleAugShift, aidi::param::FilterScript, aidi::param::GeoAugDistortion, aidi::param::GeoAugScale, aidi::param::GeoAugShift, aidi::param::GeoAugSlightRotation, aidi::param::GeometryAugmentation, aidi::param::ImageAugBlur, aidi::param::ImageAugBrightness, aidi::param::ImageAugColorFilter, aidi::param::ImageAugContrast, aidi::param::ImageAugIllumGradient, aidi::param::ImageAugNoise, aidi::param::ImageAugSharpen, aidi::param::ImageAugmentation, aidi::param::ImageEnhancementLEP, aidi::param::LossCurve, aidi::param::OCRNodeTemplate, aidi::param::OCRStringTemplate, aidi::param::SchemableParameter, aidi::param::SegmentationInputShape, aidi::param::SegmentationInputSplit, aidi::param::SegmentationTrainingSampleStrategy, aidi::param::SideLengthRange, aidi::param::SingleClassPolygonsFilterParamters

Public Functions

virtual const std::string &schema_str() const = 0#

Get the json schema of the class.

Returns:

std::string the json schema string.

virtual aidi::Buffer to_json() const = 0#

Serialize the parameter group to schema-validatable json string.

Returns:

aidi::Buffer the schema-validatable json string.

virtual ISchemable &from_json(const aidi::Buffer &json_str) = 0#

Deserialize the parameter group from schema-validatable json string.

See also

validate(const std::string &json_str, std::string *error_msg = nullptr)

Parameters:

json_str[in] the schema-validatable json string.

Throws:
Returns:

ISchemable& the reference of the parameter.

bool validate(const aidi::Buffer &json_str, std::string *error_msg = nullptr) const#

Validate the parameter json string with json schema.

Parameters:
  • json_str[in] the json string.

  • error_msg[out] the error message if the json string is invalid, otherwise empty.

Throws:

aidi::excepts::InvalidJson – if the json string is invalid.

Returns:

bool true if the json string is valid, otherwise false.

SchemableParameter#

struct SchemableParameter : public virtual aidi::param::IParameter, public virtual aidi::param::ISchemable#

SchemableParameter feature interface for IParameter classes.

Subclassed by aidi::param::BaseColor, aidi::param::CustomParam, aidi::param::ExampleAugments, aidi::param::FeatureMapFilterParameters, aidi::param::ImageMean, aidi::param::InferenceBatchSize, aidi::param::InputImageParam, aidi::param::OCRFilterParameters, aidi::param::OCRInferParameters, aidi::param::OCRTemplates, aidi::param::OCRTrainingParameters, aidi::param::PolygonsFilterParamters, aidi::param::RegionsMatcherParameters, aidi::param::SegmentationTrainingParameters, aidi::param::TRTCalibParameters, aidi::param::TrainingLog

CustomParam#

class CustomParam : public aidi::param::SchemableParameter#

CustomParam Parameter class generated by jinja2 automatically.

可自定义的扩展参数组,使用一个字典存储用户给定的任意键值对. 键和值都必须是字符串类型,对于非字符串类型,用户可自行转换为字符串.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const std::map<std::string, std::string> &get_ext() const#

Get Extend Parameters.

Extended parameters are used to set parameters conveniently in the development stage or for features that are not stable enough. In the officially released version, extended parameters should be used as little as possible.

See also

set_ext()

Returns:

const std::map<std::string, std::string> & Extend Parameters

CustomParam &set_ext(const std::map<std::string, std::string> &ext)#

Set Extend Parameters with std::map<std::string, std::string> value.

Extended parameters are used to set parameters conveniently in the development stage or for features that are not stable enough. In the officially released version, extended parameters should be used as little as possible.

See also

get_ext()

Parameters:

ext – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

CustomParam& the reference of this object.

const std::string &get_ext(const std::string &key) const#

Get value in Extend Parameters with key.

Warning

The key must be exist in Extend Parameters. otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

const std::map<std::string, std::string> & value in Extend Parameters at key.

CustomParam &set_ext(const std::string &key, const std::string &value)#

Set value in Extend Parameters with key.

Parameters:
  • key – the key to set.

  • value – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

CustomParam& the reference of this object.

bool ext_contains(const std::string &key) const#

Check if the key is exist in Extend Parameters.

Returns:

bool true if the key is exist in Extend Parameters, otherwise false.

size_t get_ext_size() const#

Get the size of Extend Parameters.

Returns:

size_t the size of Extend Parameters

class BinaryPacks : public aidi::param::IParameter#

Parameter to store list of binary data with name.

Public Functions

void insert(const std::string &key, const aidi::Buffer &buffer)#

Insert a new binary data into the BinaryPacks. Old data with the same key will be replaced.

See also

aidi::Buffer

See also

get(const std::string &key)

Note

The data in the buffer will not be copied, Which means that if you modify the data content in the Buffer later, the data in the inserted Buffer will also be modified. If this is not the behavior you expect, you can call aidi::Buffer::clone_data() explicitly like below:

binary_packs.insert("my-data", buffer.clone_data());

Parameters:
  • key – The key of the binary data.

  • buffer – The binary data.

void remove(const std::string &key)#

Remove binary data specified by the key. Do nothing if the key not found.

Parameters:

key – The key of the binary data to be removed.

bool contains(const std::string &key) const#

Check if the binary data exists in the container.

Parameters:

key – The key of the binary data

Returns:

True if exists. Else false.

const aidi::Buffer &get(const std::string &key) const#

Get the binary data specified by the key.

Note

Do not modify the data in the buffer with out clone,

Parameters:

key

Returns:

const aidi::Buffer & The reference of the binary data.

std::vector<std::string> keys() const#

Get all keys in the BinaryPacks.

Returns:

std::vector<std::string> The keys list.

void clear()#

Clear the container.

InputImage Parameters#

enum aidi::param::ColorType#

Values:

enumerator kGray = 1#
enumerator kBGR = 3#
class BaseColor : public aidi::param::SchemableParameter#

BaseColor Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const ColorType &get_color() const#

Get base_color.

Convert all images into Gray or BGR color space

See also

set_color()

Returns:

const ColorType & base_color

BaseColor &set_color(const ColorType &color)#

Set base_color with ColorType value.

Convert all images into Gray or BGR color space

See also

get_color()

Parameters:

color – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

BaseColor& the reference of this object.

class ImageMean : public aidi::param::SchemableParameter#

ImageMean Parameter class generated by jinja2 automatically.

Image mean parameters

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const std::vector<double> &get_values() const#

Get image mean.

image mean values ordered same as image channels

See also

set_values()

Returns:

const std::vector<double> & image mean

ImageMean &set_values(const std::vector<double> &values)#

Set image mean with std::vector<double> value.

image mean values ordered same as image channels

See also

get_values()

Parameters:

values – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageMean& the reference of this object.

double get_values(size_t index) const#

Get value in image mean with index.

Warning

The index must be less than get_values_size(). otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

double value in image mean at index.

size_t get_values_size() const#

Get the size of image mean.

Returns:

size_t the size of image mean

class InputImageParam : public aidi::param::SchemableParameter#

InputImageParam Parameter class generated by jinja2 automatically.

输入图像相关参数,用于控制工程的输入图像格式规范.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

int get_visual_size() const#

Get 可视图象数.

一个aidi.Image允许包含的可视图象数量, 多数情况下, 使用默认值1即可。若需要将多张图像当作一张图像处理, 可以设置为大于1的值。

Returns:

int 可视图象数

InputImageParam &set_visual_size(int visual_size)#

Set 可视图象数 with int value.

一个aidi.Image允许包含的可视图象数量, 多数情况下, 使用默认值1即可。若需要将多张图像当作一张图像处理, 可以设置为大于1的值。

Parameters:

visual_size – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

InputImageParam& the reference of this object.

class LabelClasses : public aidi::param::IParameter#

LabelClasses is a parameter to manage label classes.

Public Functions

void add(const std::string &label_name)#

Add a label name into the label classes container.

Parameters:

label_name – The label name to be added.

void remove(const std::string &label_name)#

Remove a label name from the label classes container.

Parameters:

label_name – The label name to be removed.

size_t size() const#

Get the number of label classes.

Returns:

The number of label classes.

inline bool empty() const#

Check if the container is empty.

Returns:

bool True if the container is empty.

bool contains(const std::string &label_name) const#

Check if the label classes container contains the label name.

Parameters:

label_name – The label name to be checked.

Returns:

True if the label classes container contains the label name.

std::vector<std::string> get() const#

Get all label names in the label classes container as a vector.

Returns:

std::vector<std::string> The label names in the label classes

void clear()#

Clear the label classes container.

DataAugmentation Parameters#

class GeoAugSlightRotation : public aidi::param::ISchemable#

GeoAugSlightRotation Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable.

Enable to augment training data with slight rotation

See also

set_enable()

Returns:

bool Enable

GeoAugSlightRotation &set_enable(bool enable)#

Set Enable with bool value.

Enable to augment training data with slight rotation

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugSlightRotation& the reference of this object.

const std::vector<double> &get_range() const#

Get Angle Range.

Slight rotation angle range (min, max)

See also

set_range()

Returns:

const std::vector<double> & Angle Range

GeoAugSlightRotation &set_range(const std::vector<double> &range)#

Set Angle Range with std::vector<double> value.

Slight rotation angle range (min, max)

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugSlightRotation& the reference of this object.

double get_range_left() const#

Get left point value of Angle Range.

Returns:

const std::vector<double> & left point value of Angle Range

double get_range_right() const#

Get the right point value of Angle Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Angle Range

GeoAugSlightRotation &set_range_left(double range_left)#

Set left point value of Angle Range with std::vector<double> value.

Slight rotation angle range (min, max)

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugSlightRotation& the reference of this object.

GeoAugSlightRotation &set_range_right(double range_right)#

Set the right point value of Angle Range with std::vector<double> value.

Slight rotation angle range (min, max)

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugSlightRotation& the reference of this object.

int get_step() const#

Get Angle Step.

Slight rotation angle step

See also

set_step()

Returns:

int Angle Step

GeoAugSlightRotation &set_step(int step)#

Set Angle Step with int value.

Slight rotation angle step

See also

get_step()

Parameters:

step – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugSlightRotation& the reference of this object.

class GeoAugShift : public aidi::param::ISchemable#

GeoAugShift Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable.

Enable to randomly shift the tranning data horizontally and vertically by a certain proportion

See also

set_enable()

Returns:

bool Enable

GeoAugShift &set_enable(bool enable)#

Set Enable with bool value.

Enable to randomly shift the tranning data horizontally and vertically by a certain proportion

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugShift& the reference of this object.

double get_shift_vertical() const#

Get Vertical Shift.

Vertical shift

Returns:

double Vertical Shift

GeoAugShift &set_shift_vertical(double shift_vertical)#

Set Vertical Shift with double value.

Vertical shift

Parameters:

shift_vertical – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugShift& the reference of this object.

double get_shift_horizontal() const#

Get Horizontal Shift.

Horizontal shift

Returns:

double Horizontal Shift

GeoAugShift &set_shift_horizontal(double shift_horizontal)#

Set Horizontal Shift with double value.

Horizontal shift

Parameters:

shift_horizontal – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugShift& the reference of this object.

class GeoAugScale : public aidi::param::ISchemable#

GeoAugScale Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable.

Enable to randomly scale the tranning data by a certain proportion

See also

set_enable()

Returns:

bool Enable

GeoAugScale &set_enable(bool enable)#

Set Enable with bool value.

Enable to randomly scale the tranning data by a certain proportion

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugScale& the reference of this object.

const std::vector<double> &get_range() const#

Get Scale Range.

Scale range (min, max)

See also

set_range()

Returns:

const std::vector<double> & Scale Range

GeoAugScale &set_range(const std::vector<double> &range)#

Set Scale Range with std::vector<double> value.

Scale range (min, max)

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugScale& the reference of this object.

double get_range_left() const#

Get left point value of Scale Range.

Returns:

const std::vector<double> & left point value of Scale Range

double get_range_right() const#

Get the right point value of Scale Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Scale Range

GeoAugScale &set_range_left(double range_left)#

Set left point value of Scale Range with std::vector<double> value.

Scale range (min, max)

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugScale& the reference of this object.

GeoAugScale &set_range_right(double range_right)#

Set the right point value of Scale Range with std::vector<double> value.

Scale range (min, max)

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugScale& the reference of this object.

class GeoAugDistortion : public aidi::param::ISchemable#

GeoAugDistortion Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable.

Enable to randomly distort the training data to simulate image distortion caused by factors such as lens aging.

See also

set_enable()

Returns:

bool Enable

GeoAugDistortion &set_enable(bool enable)#

Set Enable with bool value.

Enable to randomly distort the training data to simulate image distortion caused by factors such as lens aging.

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugDistortion& the reference of this object.

const std::vector<double> &get_range() const#

Get Distortion Strength Range.

Distortion Strength range, From 0 to 2, the distortion effect gradually increases

See also

set_range()

Returns:

const std::vector<double> & Distortion Strength Range

GeoAugDistortion &set_range(const std::vector<double> &range)#

Set Distortion Strength Range with std::vector<double> value.

Distortion Strength range, From 0 to 2, the distortion effect gradually increases

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugDistortion& the reference of this object.

double get_range_left() const#

Get left point value of Distortion Strength Range.

Returns:

const std::vector<double> & left point value of Distortion Strength Range

double get_range_right() const#

Get the right point value of Distortion Strength Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Distortion Strength Range

GeoAugDistortion &set_range_left(double range_left)#

Set left point value of Distortion Strength Range with std::vector<double> value.

Distortion Strength range, From 0 to 2, the distortion effect gradually increases

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugDistortion& the reference of this object.

GeoAugDistortion &set_range_right(double range_right)#

Set the right point value of Distortion Strength Range with std::vector<double> value.

Distortion Strength range, From 0 to 2, the distortion effect gradually increases

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeoAugDistortion& the reference of this object.

class GeometryAugmentation : public aidi::param::ISchemable#

GeometryAugmentation Parameter class generated by jinja2 automatically.

Geometry augmentation parameters

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_flip_vertical() const#

Get Vertical Flip.

Flip training images vertically randomly with a probability of 0.5

Returns:

bool Vertical Flip

GeometryAugmentation &set_flip_vertical(bool flip_vertical)#

Set Vertical Flip with bool value.

Flip training images vertically randomly with a probability of 0.5

Parameters:

flip_vertical – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

bool get_flip_horizontal() const#

Get Horizontal Flip.

Flip training images horizontally randomly with a probability of 0.5

Returns:

bool Horizontal Flip

GeometryAugmentation &set_flip_horizontal(bool flip_horizontal)#

Set Horizontal Flip with bool value.

Flip training images horizontally randomly with a probability of 0.5

Parameters:

flip_horizontal – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

bool get_rotate_90() const#

Get Rotate 90°.

Rotate training images 90 degrees randomly with a probability of 0.5

See also

set_rotate_90()

Returns:

bool Rotate 90°

GeometryAugmentation &set_rotate_90(bool rotate_90)#

Set Rotate 90° with bool value.

Rotate training images 90 degrees randomly with a probability of 0.5

See also

get_rotate_90()

Parameters:

rotate_90 – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

bool get_rotate_180() const#

Get Rotate 180°.

Rotate training images 180° randomly with a probability of 0.5

See also

set_rotate_180()

Returns:

bool Rotate 180°

GeometryAugmentation &set_rotate_180(bool rotate_180)#

Set Rotate 180° with bool value.

Rotate training images 180° randomly with a probability of 0.5

See also

get_rotate_180()

Parameters:

rotate_180 – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

const GeoAugSlightRotation &get_slight_rotate() const#

Get Slight Rotation.

Slight rotation augmentation parameters

Returns:

const GeoAugSlightRotation & Slight Rotation

GeometryAugmentation &set_slight_rotate(const GeoAugSlightRotation &slight_rotate)#

Set Slight Rotation with GeoAugSlightRotation value.

Slight rotation augmentation parameters

Parameters:

slight_rotate – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

GeoAugSlightRotation &get_slight_rotate()#

Get mutable reference of Slight Rotation.

Slight rotation augmentation parameters

Returns:

GeometryAugmentation& the mutable reference of the group.

const GeoAugShift &get_shift() const#

Get Shift.

Shift augmentations parameters

See also

set_shift()

Returns:

const GeoAugShift & Shift

GeometryAugmentation &set_shift(const GeoAugShift &shift)#

Set Shift with GeoAugShift value.

Shift augmentations parameters

See also

get_shift()

Parameters:

shift – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

GeoAugShift &get_shift()#

Get mutable reference of Shift.

Shift augmentations parameters

Returns:

GeometryAugmentation& the mutable reference of the group.

const GeoAugScale &get_scale() const#

Get Scale.

Scale augmentations parameters

See also

set_scale()

Returns:

const GeoAugScale & Scale

GeometryAugmentation &set_scale(const GeoAugScale &scale)#

Set Scale with GeoAugScale value.

Scale augmentations parameters

See also

get_scale()

Parameters:

scale – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

GeoAugScale &get_scale()#

Get mutable reference of Scale.

Scale augmentations parameters

Returns:

GeometryAugmentation& the mutable reference of the group.

const GeoAugDistortion &get_distortion() const#

Get Distortion.

Distortion augmentations parameters

See also

set_distortion()

Returns:

const GeoAugDistortion & Distortion

GeometryAugmentation &set_distortion(const GeoAugDistortion &distortion)#

Set Distortion with GeoAugDistortion value.

Distortion augmentations parameters

See also

get_distortion()

Parameters:

distortion – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

GeoAugDistortion &get_distortion()#

Get mutable reference of Distortion.

Distortion augmentations parameters

Returns:

GeometryAugmentation& the mutable reference of the group.

bool get_crop() const#

Get Crop Overflow Area.

Crop out spill areas caused by geometric transformations (translation, rotation) to keep the image size unchanged

See also

set_crop()

Returns:

bool Crop Overflow Area

GeometryAugmentation &set_crop(bool crop)#

Set Crop Overflow Area with bool value.

Crop out spill areas caused by geometric transformations (translation, rotation) to keep the image size unchanged

See also

get_crop()

Parameters:

crop – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

GeometryAugmentation& the reference of this object.

class ImageAugBrightness : public aidi::param::ISchemable#

ImageAugBrightness Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Brightness Augmentation.

Enable illumination augmentation to augment training data with linear gray scale transformations

See also

set_enable()

Returns:

bool Enable Brightness Augmentation

ImageAugBrightness &set_enable(bool enable)#

Set Enable Brightness Augmentation with bool value.

Enable illumination augmentation to augment training data with linear gray scale transformations

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBrightness& the reference of this object.

const std::vector<double> &get_range() const#

Get Brightness Range.

The illumination intensity range 0~1 for reduction, and 1~2 for enhancement.

See also

set_range()

Returns:

const std::vector<double> & Brightness Range

ImageAugBrightness &set_range(const std::vector<double> &range)#

Set Brightness Range with std::vector<double> value.

The illumination intensity range 0~1 for reduction, and 1~2 for enhancement.

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBrightness& the reference of this object.

double get_range_left() const#

Get left point value of Brightness Range.

Returns:

const std::vector<double> & left point value of Brightness Range

double get_range_right() const#

Get the right point value of Brightness Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Brightness Range

ImageAugBrightness &set_range_left(double range_left)#

Set left point value of Brightness Range with std::vector<double> value.

The illumination intensity range 0~1 for reduction, and 1~2 for enhancement.

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBrightness& the reference of this object.

ImageAugBrightness &set_range_right(double range_right)#

Set the right point value of Brightness Range with std::vector<double> value.

The illumination intensity range 0~1 for reduction, and 1~2 for enhancement.

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBrightness& the reference of this object.

class ImageAugContrast : public aidi::param::ISchemable#

ImageAugContrast Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Contrast Augmentation.

Enable contrast augmentation to simulate the effect of different lighting conditions with different contrast

See also

set_enable()

Returns:

bool Enable Contrast Augmentation

ImageAugContrast &set_enable(bool enable)#

Set Enable Contrast Augmentation with bool value.

Enable contrast augmentation to simulate the effect of different lighting conditions with different contrast

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugContrast& the reference of this object.

const std::vector<double> &get_range() const#

Get Contrast Range.

The contrast range 0~1 for reduction, and 1~2 for enhancement.

See also

set_range()

Returns:

const std::vector<double> & Contrast Range

ImageAugContrast &set_range(const std::vector<double> &range)#

Set Contrast Range with std::vector<double> value.

The contrast range 0~1 for reduction, and 1~2 for enhancement.

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugContrast& the reference of this object.

double get_range_left() const#

Get left point value of Contrast Range.

Returns:

const std::vector<double> & left point value of Contrast Range

double get_range_right() const#

Get the right point value of Contrast Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Contrast Range

ImageAugContrast &set_range_left(double range_left)#

Set left point value of Contrast Range with std::vector<double> value.

The contrast range 0~1 for reduction, and 1~2 for enhancement.

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugContrast& the reference of this object.

ImageAugContrast &set_range_right(double range_right)#

Set the right point value of Contrast Range with std::vector<double> value.

The contrast range 0~1 for reduction, and 1~2 for enhancement.

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugContrast& the reference of this object.

class ImageAugColorFilter : public aidi::param::ISchemable#

ImageAugColorFilter Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Color Filter.

Simulate the different colors lighting effects by adding filters (only color images are supported), the color filter intensity controls the max intensity of the allowed color filters, range 0~2 from low to high.

See also

set_enable()

Returns:

bool Enable Color Filter

ImageAugColorFilter &set_enable(bool enable)#

Set Enable Color Filter with bool value.

Simulate the different colors lighting effects by adding filters (only color images are supported), the color filter intensity controls the max intensity of the allowed color filters, range 0~2 from low to high.

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugColorFilter& the reference of this object.

const std::vector<double> &get_range() const#

Get Color Filter Range.

Color Filter Range 0~2 from low to high.

See also

set_range()

Returns:

const std::vector<double> & Color Filter Range

ImageAugColorFilter &set_range(const std::vector<double> &range)#

Set Color Filter Range with std::vector<double> value.

Color Filter Range 0~2 from low to high.

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugColorFilter& the reference of this object.

double get_range_left() const#

Get left point value of Color Filter Range.

Returns:

const std::vector<double> & left point value of Color Filter Range

double get_range_right() const#

Get the right point value of Color Filter Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Color Filter Range

ImageAugColorFilter &set_range_left(double range_left)#

Set left point value of Color Filter Range with std::vector<double> value.

Color Filter Range 0~2 from low to high.

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugColorFilter& the reference of this object.

ImageAugColorFilter &set_range_right(double range_right)#

Set the right point value of Color Filter Range with std::vector<double> value.

Color Filter Range 0~2 from low to high.

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugColorFilter& the reference of this object.

class ImageAugNoise : public aidi::param::ISchemable#

ImageAugNoise Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Noise.

Enable noise augmentation to augment training data with Gaussian noise

See also

set_enable()

Returns:

bool Enable Noise

ImageAugNoise &set_enable(bool enable)#

Set Enable Noise with bool value.

Enable noise augmentation to augment training data with Gaussian noise

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugNoise& the reference of this object.

const std::vector<double> &get_range() const#

Get Noise Range.

Noise Range 0~2 from low to high.

See also

set_range()

Returns:

const std::vector<double> & Noise Range

ImageAugNoise &set_range(const std::vector<double> &range)#

Set Noise Range with std::vector<double> value.

Noise Range 0~2 from low to high.

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugNoise& the reference of this object.

double get_range_left() const#

Get left point value of Noise Range.

Returns:

const std::vector<double> & left point value of Noise Range

double get_range_right() const#

Get the right point value of Noise Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Noise Range

ImageAugNoise &set_range_left(double range_left)#

Set left point value of Noise Range with std::vector<double> value.

Noise Range 0~2 from low to high.

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugNoise& the reference of this object.

ImageAugNoise &set_range_right(double range_right)#

Set the right point value of Noise Range with std::vector<double> value.

Noise Range 0~2 from low to high.

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugNoise& the reference of this object.

class ImageAugIllumGradient : public aidi::param::ISchemable#

ImageAugIllumGradient Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Illumination Gradient.

Simulate the illumination intensity changing gradiently caused by the shift of the light position, the illumination intensity range 0~2 from low to high

See also

set_enable()

Returns:

bool Enable Illumination Gradient

ImageAugIllumGradient &set_enable(bool enable)#

Set Enable Illumination Gradient with bool value.

Simulate the illumination intensity changing gradiently caused by the shift of the light position, the illumination intensity range 0~2 from low to high

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugIllumGradient& the reference of this object.

const std::vector<double> &get_range() const#

Get Illumination Gradient Range.

Illumination Gradient Range 0~2 from low to high.

See also

set_range()

Returns:

const std::vector<double> & Illumination Gradient Range

ImageAugIllumGradient &set_range(const std::vector<double> &range)#

Set Illumination Gradient Range with std::vector<double> value.

Illumination Gradient Range 0~2 from low to high.

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugIllumGradient& the reference of this object.

double get_range_left() const#

Get left point value of Illumination Gradient Range.

Returns:

const std::vector<double> & left point value of Illumination Gradient Range

double get_range_right() const#

Get the right point value of Illumination Gradient Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Illumination Gradient Range

ImageAugIllumGradient &set_range_left(double range_left)#

Set left point value of Illumination Gradient Range with std::vector<double> value.

Illumination Gradient Range 0~2 from low to high.

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugIllumGradient& the reference of this object.

ImageAugIllumGradient &set_range_right(double range_right)#

Set the right point value of Illumination Gradient Range with std::vector<double> value.

Illumination Gradient Range 0~2 from low to high.

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugIllumGradient& the reference of this object.

class ImageAugBlur : public aidi::param::ISchemable#

ImageAugBlur Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Blur.

Simulate the image blur caused by the out of focus, the effect of blur intensity range 0~2 from low to high

See also

set_enable()

Returns:

bool Enable Blur

ImageAugBlur &set_enable(bool enable)#

Set Enable Blur with bool value.

Simulate the image blur caused by the out of focus, the effect of blur intensity range 0~2 from low to high

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBlur& the reference of this object.

const std::vector<double> &get_range() const#

Get Blur Range.

Blur intensity range 0~2 from low to high

See also

set_range()

Returns:

const std::vector<double> & Blur Range

ImageAugBlur &set_range(const std::vector<double> &range)#

Set Blur Range with std::vector<double> value.

Blur intensity range 0~2 from low to high

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBlur& the reference of this object.

double get_range_left() const#

Get left point value of Blur Range.

Returns:

const std::vector<double> & left point value of Blur Range

double get_range_right() const#

Get the right point value of Blur Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Blur Range

ImageAugBlur &set_range_left(double range_left)#

Set left point value of Blur Range with std::vector<double> value.

Blur intensity range 0~2 from low to high

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBlur& the reference of this object.

ImageAugBlur &set_range_right(double range_right)#

Set the right point value of Blur Range with std::vector<double> value.

Blur intensity range 0~2 from low to high

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugBlur& the reference of this object.

class ImageAugSharpen : public aidi::param::ISchemable#

ImageAugSharpen Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Sharpening.

Simulate a scene with more accurate lens focus by sharpening the image, sharpening intensity range 0~2 from low to high

See also

set_enable()

Returns:

bool Enable Sharpening

ImageAugSharpen &set_enable(bool enable)#

Set Enable Sharpening with bool value.

Simulate a scene with more accurate lens focus by sharpening the image, sharpening intensity range 0~2 from low to high

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugSharpen& the reference of this object.

const std::vector<double> &get_range() const#

Get Sharpening Range.

sharpening intensity range 0~2 from low to high

See also

set_range()

Returns:

const std::vector<double> & Sharpening Range

ImageAugSharpen &set_range(const std::vector<double> &range)#

Set Sharpening Range with std::vector<double> value.

sharpening intensity range 0~2 from low to high

See also

get_range()

Parameters:

range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugSharpen& the reference of this object.

double get_range_left() const#

Get left point value of Sharpening Range.

Returns:

const std::vector<double> & left point value of Sharpening Range

double get_range_right() const#

Get the right point value of Sharpening Range.

See also

set_range_left()

Returns:

const std::vector<double> & the right point value of Sharpening Range

ImageAugSharpen &set_range_left(double range_left)#

Set left point value of Sharpening Range with std::vector<double> value.

sharpening intensity range 0~2 from low to high

See also

get_range_left()

Parameters:

range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugSharpen& the reference of this object.

ImageAugSharpen &set_range_right(double range_right)#

Set the right point value of Sharpening Range with std::vector<double> value.

sharpening intensity range 0~2 from low to high

Parameters:

range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugSharpen& the reference of this object.

class ImageAugmentation : public aidi::param::ISchemable#

ImageAugmentation Parameter class generated by jinja2 automatically.

Image Augmentation Parameters Group.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const ImageAugBrightness &get_brightness() const#

Get Illumination Augmentation.

Illumination augmentation parameters

See also

set_brightness()

Returns:

const ImageAugBrightness & Illumination Augmentation

ImageAugmentation &set_brightness(const ImageAugBrightness &brightness)#

Set Illumination Augmentation with ImageAugBrightness value.

Illumination augmentation parameters

See also

get_brightness()

Parameters:

brightness – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugmentation& the reference of this object.

ImageAugBrightness &get_brightness()#

Get mutable reference of Illumination Augmentation.

Illumination augmentation parameters

Returns:

ImageAugmentation& the mutable reference of the group.

const ImageAugContrast &get_contrast() const#

Get Contrast Augmentation.

Contrast augmentation parameters

See also

set_contrast()

Returns:

const ImageAugContrast & Contrast Augmentation

ImageAugmentation &set_contrast(const ImageAugContrast &contrast)#

Set Contrast Augmentation with ImageAugContrast value.

Contrast augmentation parameters

See also

get_contrast()

Parameters:

contrast – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugmentation& the reference of this object.

ImageAugContrast &get_contrast()#

Get mutable reference of Contrast Augmentation.

Contrast augmentation parameters

Returns:

ImageAugmentation& the mutable reference of the group.

const ImageAugColorFilter &get_color_filter() const#

Get Color Filter.

Color filter augmentation parameters

Returns:

const ImageAugColorFilter & Color Filter

ImageAugmentation &set_color_filter(const ImageAugColorFilter &color_filter)#

Set Color Filter with ImageAugColorFilter value.

Color filter augmentation parameters

Parameters:

color_filter – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugmentation& the reference of this object.

ImageAugColorFilter &get_color_filter()#

Get mutable reference of Color Filter.

Color filter augmentation parameters

Returns:

ImageAugmentation& the mutable reference of the group.

const ImageAugNoise &get_noise() const#

Get Noise Augmentation.

Noise augmentation parameters

See also

set_noise()

Returns:

const ImageAugNoise & Noise Augmentation

ImageAugmentation &set_noise(const ImageAugNoise &noise)#

Set Noise Augmentation with ImageAugNoise value.

Noise augmentation parameters

See also

get_noise()

Parameters:

noise – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugmentation& the reference of this object.

ImageAugNoise &get_noise()#

Get mutable reference of Noise Augmentation.

Noise augmentation parameters

Returns:

ImageAugmentation& the mutable reference of the group.

const ImageAugIllumGradient &get_illum_gradient() const#

Get Illumination Gradient.

Illumination gradient augmentation parameters

Returns:

const ImageAugIllumGradient & Illumination Gradient

ImageAugmentation &set_illum_gradient(const ImageAugIllumGradient &illum_gradient)#

Set Illumination Gradient with ImageAugIllumGradient value.

Illumination gradient augmentation parameters

Parameters:

illum_gradient – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugmentation& the reference of this object.

ImageAugIllumGradient &get_illum_gradient()#

Get mutable reference of Illumination Gradient.

Illumination gradient augmentation parameters

Returns:

ImageAugmentation& the mutable reference of the group.

const ImageAugBlur &get_blur() const#

Get Blur.

Blur augmentation parameters

See also

set_blur()

Returns:

const ImageAugBlur & Blur

ImageAugmentation &set_blur(const ImageAugBlur &blur)#

Set Blur with ImageAugBlur value.

Blur augmentation parameters

See also

get_blur()

Parameters:

blur – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugmentation& the reference of this object.

ImageAugBlur &get_blur()#

Get mutable reference of Blur.

Blur augmentation parameters

Returns:

ImageAugmentation& the mutable reference of the group.

const ImageAugSharpen &get_sharpen() const#

Get Sharpening.

Sharpening augmentation parameters

See also

set_sharpen()

Returns:

const ImageAugSharpen & Sharpening

ImageAugmentation &set_sharpen(const ImageAugSharpen &sharpen)#

Set Sharpening with ImageAugSharpen value.

Sharpening augmentation parameters

See also

get_sharpen()

Parameters:

sharpen – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageAugmentation& the reference of this object.

ImageAugSharpen &get_sharpen()#

Get mutable reference of Sharpening.

Sharpening augmentation parameters

Returns:

ImageAugmentation& the mutable reference of the group.

class ImageEnhancementLEP : public aidi::param::ISchemable#

ImageEnhancementLEP Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Image Enhancement.

Use Augmented Images for Training and Processing

See also

set_enable()

Returns:

bool Enable Image Enhancement

ImageEnhancementLEP &set_enable(bool enable)#

Set Enable Image Enhancement with bool value.

Use Augmented Images for Training and Processing

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

int get_detail_feat_size() const#

Get Fine Texture Feature Size.

The size of the fine texture expected to be retained, the larger the value, the more detail areas are retained

Returns:

int Fine Texture Feature Size

ImageEnhancementLEP &set_detail_feat_size(int detail_feat_size)#

Set Fine Texture Feature Size with int value.

The size of the fine texture expected to be retained, the larger the value, the more detail areas are retained

Parameters:

detail_feat_size – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

int get_rough_feat_size() const#

Get Coarse Texture Feature Size.

The size of the coarse texture expected to be retained, the larger the value, the more detail areas are retained

Returns:

int Coarse Texture Feature Size

ImageEnhancementLEP &set_rough_feat_size(int rough_feat_size)#

Set Coarse Texture Feature Size with int value.

The size of the coarse texture expected to be retained, the larger the value, the more detail areas are retained

Parameters:

rough_feat_size – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

double get_detail_enhance_scale() const#

Get Fine Texture Enhancement Scale.

Fine Texture Enhancement Parameter, the larger the value, the more detail will be retained

Returns:

double Fine Texture Enhancement Scale

ImageEnhancementLEP &set_detail_enhance_scale(double detail_enhance_scale)#

Set Fine Texture Enhancement Scale with double value.

Fine Texture Enhancement Parameter, the larger the value, the more detail will be retained

Parameters:

detail_enhance_scale – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

double get_rough_enhance_scale() const#

Get Coarse Texture Enhancement Scale.

Coarse Texture Enhancement Parameter, the larger the value, the more detail will be retained

Returns:

double Coarse Texture Enhancement Scale

ImageEnhancementLEP &set_rough_enhance_scale(double rough_enhance_scale)#

Set Coarse Texture Enhancement Scale with double value.

Coarse Texture Enhancement Parameter, the larger the value, the more detail will be retained

Parameters:

rough_enhance_scale – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

double get_base_keep_ratio() const#

Get Original Image Retaining Ratio.

Original image retaining ratio, the larger the value, the more non-details will be retained, details will not be affected

Returns:

double Original Image Retaining Ratio

ImageEnhancementLEP &set_base_keep_ratio(double base_keep_ratio)#

Set Original Image Retaining Ratio with double value.

Original image retaining ratio, the larger the value, the more non-details will be retained, details will not be affected

Parameters:

base_keep_ratio – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

int get_clip_type() const#

Get Pixel Preservation Mode.

Truncating according to the cumulative distribution ratio of pixel values or the effective range ratio, and saturating and truncating pixel values that exceed the reserved ratio

See also

set_clip_type()

Returns:

int Pixel Preservation Mode

ImageEnhancementLEP &set_clip_type(int clip_type)#

Set Pixel Preservation Mode with int value.

Truncating according to the cumulative distribution ratio of pixel values or the effective range ratio, and saturating and truncating pixel values that exceed the reserved ratio

See also

get_clip_type()

Parameters:

clip_type – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

const std::vector<double> &get_keep_range() const#

Get Pixel Preservation Ratio.

According to the cumulative distribution of the value, the proportion range is reserved. If it is based on the value range, the pixel reserve ratio * the image maximum value domain range.Exp: 8 Bit image will be multiplied by 255

See also

set_keep_range()

Returns:

const std::vector<double> & Pixel Preservation Ratio

ImageEnhancementLEP &set_keep_range(const std::vector<double> &keep_range)#

Set Pixel Preservation Ratio with std::vector<double> value.

According to the cumulative distribution of the value, the proportion range is reserved. If it is based on the value range, the pixel reserve ratio * the image maximum value domain range.Exp: 8 Bit image will be multiplied by 255

See also

get_keep_range()

Parameters:

keep_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

double get_keep_range_left() const#

Get left point value of Pixel Preservation Ratio.

Returns:

const std::vector<double> & left point value of Pixel Preservation Ratio

double get_keep_range_right() const#

Get the right point value of Pixel Preservation Ratio.

Returns:

const std::vector<double> & the right point value of Pixel Preservation Ratio

ImageEnhancementLEP &set_keep_range_left(double keep_range_left)#

Set left point value of Pixel Preservation Ratio with std::vector<double> value.

According to the cumulative distribution of the value, the proportion range is reserved. If it is based on the value range, the pixel reserve ratio * the image maximum value domain range.Exp: 8 Bit image will be multiplied by 255

Parameters:

keep_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

ImageEnhancementLEP &set_keep_range_right(double keep_range_right)#

Set the right point value of Pixel Preservation Ratio with std::vector<double> value.

According to the cumulative distribution of the value, the proportion range is reserved. If it is based on the value range, the pixel reserve ratio * the image maximum value domain range.Exp: 8 Bit image will be multiplied by 255

Parameters:

keep_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ImageEnhancementLEP& the reference of this object.

class DataAugmentation : public aidi::param::ISchemable#

DataAugmentation Parameter class generated by jinja2 automatically.

Data Augmentation Parameters Group.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const GeometryAugmentation &get_geometry_aumentation() const#

Get Geometry Augmentation.

Geometry augmentation parameters

Returns:

const GeometryAugmentation & Geometry Augmentation

DataAugmentation &set_geometry_aumentation(const GeometryAugmentation &geometry_aumentation)#

Set Geometry Augmentation with GeometryAugmentation value.

Geometry augmentation parameters

Parameters:

geometry_aumentation – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

DataAugmentation& the reference of this object.

GeometryAugmentation &get_geometry_aumentation()#

Get mutable reference of Geometry Augmentation.

Geometry augmentation parameters

Returns:

DataAugmentation& the mutable reference of the group.

const ImageAugmentation &get_image_augmentation() const#

Get Image Augmentation.

Image augmentation parameters

Returns:

const ImageAugmentation & Image Augmentation

DataAugmentation &set_image_augmentation(const ImageAugmentation &image_augmentation)#

Set Image Augmentation with ImageAugmentation value.

Image augmentation parameters

Parameters:

image_augmentation – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

DataAugmentation& the reference of this object.

ImageAugmentation &get_image_augmentation()#

Get mutable reference of Image Augmentation.

Image augmentation parameters

Returns:

DataAugmentation& the mutable reference of the group.

const ImageEnhancementLEP &get_image_enhancement() const#

Get Image Enhancement.

Image enhancement parameters

Returns:

const ImageEnhancementLEP & Image Enhancement

DataAugmentation &set_image_enhancement(const ImageEnhancementLEP &image_enhancement)#

Set Image Enhancement with ImageEnhancementLEP value.

Image enhancement parameters

Parameters:

image_enhancement – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

DataAugmentation& the reference of this object.

ImageEnhancementLEP &get_image_enhancement()#

Get mutable reference of Image Enhancement.

Image enhancement parameters

Returns:

DataAugmentation& the mutable reference of the group.

Segmentation Traning Parameters#

class SegmentationInputShape : public aidi::param::ISchemable#

SegmentationInputShape Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Custom Input Shape.

Enable to Customize Network Input Shape

See also

set_enable()

Returns:

bool Enable Custom Input Shape

SegmentationInputShape &set_enable(bool enable)#

Set Enable Custom Input Shape with bool value.

Enable to Customize Network Input Shape

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationInputShape& the reference of this object.

int get_base_input_width() const#

Get Base Input Width.

Base Input Width

Returns:

int Base Input Width

SegmentationInputShape &set_base_input_width(int base_input_width)#

Set Base Input Width with int value.

Base Input Width

Parameters:

base_input_width – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationInputShape& the reference of this object.

int get_base_input_height() const#

Get Base Input Height.

Base Input Height

Returns:

int Base Input Height

SegmentationInputShape &set_base_input_height(int base_input_height)#

Set Base Input Height with int value.

Base Input Height

Parameters:

base_input_height – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationInputShape& the reference of this object.

class SegmentationInputSplit : public aidi::param::ISchemable#

SegmentationInputSplit Parameter class generated by jinja2 automatically.

Parameters to control how to split the input image into patches.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

int get_max_split() const#

Get Resolution Level.

The short side of the image input will be scaled to (base_size*Resolution Level), and the long side will be scaled proportionally. When the max precision set is higher than the required precision of the algorithm, the precision will be automatically reduced. The applied precision can be acquired from figuration files of the trained model

See also

set_max_split()

Returns:

int Resolution Level

SegmentationInputSplit &set_max_split(int max_split)#

Set Resolution Level with int value.

The short side of the image input will be scaled to (base_size*Resolution Level), and the long side will be scaled proportionally. When the max precision set is higher than the required precision of the algorithm, the precision will be automatically reduced. The applied precision can be acquired from figuration files of the trained model

See also

get_max_split()

Parameters:

max_split – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationInputSplit& the reference of this object.

int get_horizontal_split() const#

Get Horizontal Split.

Horizontal Split Number

Returns:

int Horizontal Split

SegmentationInputSplit &set_horizontal_split(int horizontal_split)#

Set Horizontal Split with int value.

Horizontal Split Number

Parameters:

horizontal_split – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationInputSplit& the reference of this object.

int get_vertical_split() const#

Get Vertical Split.

Vertical Split Number

Returns:

int Vertical Split

SegmentationInputSplit &set_vertical_split(int vertical_split)#

Set Vertical Split with int value.

Vertical Split Number

Parameters:

vertical_split – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationInputSplit& the reference of this object.

class SegmentationTrainingSampleStrategy : public aidi::param::ISchemable#

SegmentationTrainingSampleStrategy Parameter class generated by jinja2 automatically.

Segmentation training parameters to control the the input data.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_defect_only() const#

Get Defect Only.

Only the defect area will be learned during training, which can quickly verify whether a certain type of defect can be detected in the early stage of project verification. However, after this option is turned on, the non-defective area will have serious over-detection. Therefore, it should be only used in the solution validation stage.

Returns:

bool Defect Only

SegmentationTrainingSampleStrategy &set_defect_only(bool defect_only)#

Set Defect Only with bool value.

Only the defect area will be learned during training, which can quickly verify whether a certain type of defect can be detected in the early stage of project verification. However, after this option is turned on, the non-defective area will have serious over-detection. Therefore, it should be only used in the solution validation stage.

Parameters:

defect_only – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingSampleStrategy& the reference of this object.

double get_hard_case_rate() const#

Get Sample Rate of Hard Case.

The larger the value set, the higher the attention to the hard case

Returns:

double Sample Rate of Hard Case

SegmentationTrainingSampleStrategy &set_hard_case_rate(double hard_case_rate)#

Set Sample Rate of Hard Case with double value.

The larger the value set, the higher the attention to the hard case

Parameters:

hard_case_rate – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingSampleStrategy& the reference of this object.

int get_hard_case_split() const#

Get Hard Case Split.

Number of hard case discrete coodinates, Default value is recommended.

Returns:

int Hard Case Split

SegmentationTrainingSampleStrategy &set_hard_case_split(int hard_case_split)#

Set Hard Case Split with int value.

Number of hard case discrete coodinates, Default value is recommended.

Parameters:

hard_case_split – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingSampleStrategy& the reference of this object.

class SegmentationTrainingParameters : public aidi::param::SchemableParameter#

SegmentationTrainingParameters Parameter class generated by jinja2 automatically.

Segmentation Training Parameters Group.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

int get_epoch() const#

Get Epoch.

Number of epochs to train

See also

set_epoch()

Returns:

int Epoch

SegmentationTrainingParameters &set_epoch(int epoch)#

Set Epoch with int value.

Number of epochs to train

See also

get_epoch()

Parameters:

epoch – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

int get_batch_size() const#

Get Traning Batch Size.

The number of images involved in training in each iteration of network training. A suitable batch size can make full use of hardware and improve the convergence speed. Common values are 4, 8, and 16. The classification module needs to be set larger, generally 32, 64

See also

set_batch_size()

Returns:

int Traning Batch Size

SegmentationTrainingParameters &set_batch_size(int batch_size)#

Set Traning Batch Size with int value.

The number of images involved in training in each iteration of network training. A suitable batch size can make full use of hardware and improve the convergence speed. Common values are 4, 8, and 16. The classification module needs to be set larger, generally 32, 64

See also

get_batch_size()

Parameters:

batch_size – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

double get_lr_decay() const#

Get Learning Rate Decay.

The learning rate is multiplied by this value every epoch. The larger the value, the faster the learning rate decreases

See also

set_lr_decay()

Returns:

double Learning Rate Decay

SegmentationTrainingParameters &set_lr_decay(double lr_decay)#

Set Learning Rate Decay with double value.

The learning rate is multiplied by this value every epoch. The larger the value, the faster the learning rate decreases

See also

get_lr_decay()

Parameters:

lr_decay – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

const std::string &get_model_arch() const#

Get Model Architecture.

The 101 model has better detection effect on small defects, and the 102 model has better comprehensive effect. Recommended to use the 102 model when the detection effect of the 101 model is poor

See also

set_model_arch()

Returns:

const std::string & Model Architecture

SegmentationTrainingParameters &set_model_arch(const std::string &model_arch)#

Set Model Architecture with std::string value.

The 101 model has better detection effect on small defects, and the 102 model has better comprehensive effect. Recommended to use the 102 model when the detection effect of the 101 model is poor

See also

get_model_arch()

Parameters:

model_arch – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

bool get_shift_stable() const#

Get With Shift Stable.

With shift stable, the adaptability of the model to the slight shift of the target can be improved, but the training and inference speed will be 20 percent slower

Returns:

bool With Shift Stable

SegmentationTrainingParameters &set_shift_stable(bool shift_stable)#

Set With Shift Stable with bool value.

With shift stable, the adaptability of the model to the slight shift of the target can be improved, but the training and inference speed will be 20 percent slower

Parameters:

shift_stable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

const DataAugmentation &get_augmentations() const#

Get Data Augmentation.

Data Augmentation Parameters

Returns:

const DataAugmentation & Data Augmentation

SegmentationTrainingParameters &set_augmentations(const DataAugmentation &augmentations)#

Set Data Augmentation with DataAugmentation value.

Data Augmentation Parameters

Parameters:

augmentations – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

DataAugmentation &get_augmentations()#

Get mutable reference of Data Augmentation.

Data Augmentation Parameters

Returns:

SegmentationTrainingParameters& the mutable reference of the group.

const SegmentationInputShape &get_input_shape() const#

Get Input Shape.

Input Shape Parameters

Returns:

const SegmentationInputShape & Input Shape

SegmentationTrainingParameters &set_input_shape(const SegmentationInputShape &input_shape)#

Set Input Shape with SegmentationInputShape value.

Input Shape Parameters

Parameters:

input_shape – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

SegmentationInputShape &get_input_shape()#

Get mutable reference of Input Shape.

Input Shape Parameters

Returns:

SegmentationTrainingParameters& the mutable reference of the group.

const SegmentationInputSplit &get_input_split() const#

Get Input Split.

Input Split Parameters

Returns:

const SegmentationInputSplit & Input Split

SegmentationTrainingParameters &set_input_split(const SegmentationInputSplit &input_split)#

Set Input Split with SegmentationInputSplit value.

Input Split Parameters

Parameters:

input_split – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

SegmentationInputSplit &get_input_split()#

Get mutable reference of Input Split.

Input Split Parameters

Returns:

SegmentationTrainingParameters& the mutable reference of the group.

const SegmentationTrainingSampleStrategy &get_sample_strategy() const#

Get Sample Strategy.

Sample Strategy Parameters

Returns:

const SegmentationTrainingSampleStrategy & Sample Strategy

SegmentationTrainingParameters &set_sample_strategy(const SegmentationTrainingSampleStrategy &sample_strategy)#

Set Sample Strategy with SegmentationTrainingSampleStrategy value.

Sample Strategy Parameters

Parameters:

sample_strategy – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SegmentationTrainingParameters& the reference of this object.

SegmentationTrainingSampleStrategy &get_sample_strategy()#

Get mutable reference of Sample Strategy.

Sample Strategy Parameters

Returns:

SegmentationTrainingParameters& the mutable reference of the group.

class BinaryTrainingParameters : public aidi::param::IParameter#

Parameter class to store some binary configuration information that the parameter generator can not represent for the model trainer.

Public Functions

BinaryTrainingParameters &set_global_mask(const geometry::MultiPolygon2f &masks)#

Set the global mask. Each sub image in the training views will be masked with the image mean values before training.

Parameters:

masks – The mask polygons.

Returns:

BinaryTrainingParameters& The parameter instance.

const geometry::MultiPolygon2f &get_global_mask() const#

Get the global mask.

Returns:

const geometry::MultiPolygon2f& The global mask polygons

Filter Parameters#

class AxialSideLengthRange : public aidi::param::ISchemable#

AxialSideLengthRange Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Axial Side Length Filter.

Enable this option to filter regions with axial side length.

See also

set_enable()

Returns:

bool Axial Side Length Filter

AxialSideLengthRange &set_enable(bool enable)#

Set Axial Side Length Filter with bool value.

Enable this option to filter regions with axial side length.

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

const std::vector<int> &get_x_axis_side_range() const#

Get X-Axis Side Length Range.

The X-axis side length range of regions you want to keep.

Returns:

const std::vector<int> & X-Axis Side Length Range

AxialSideLengthRange &set_x_axis_side_range(const std::vector<int> &x_axis_side_range)#

Set X-Axis Side Length Range with std::vector<int> value.

The X-axis side length range of regions you want to keep.

Parameters:

x_axis_side_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

int get_x_axis_side_range_left() const#

Get left point value of X-Axis Side Length Range.

Returns:

const std::vector<int> & left point value of X-Axis Side Length Range

int get_x_axis_side_range_right() const#

Get the right point value of X-Axis Side Length Range.

Returns:

const std::vector<int> & the right point value of X-Axis Side Length Range

AxialSideLengthRange &set_x_axis_side_range_left(int x_axis_side_range_left)#

Set left point value of X-Axis Side Length Range with std::vector<int> value.

The X-axis side length range of regions you want to keep.

Parameters:

x_axis_side_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

AxialSideLengthRange &set_x_axis_side_range_right(int x_axis_side_range_right)#

Set the right point value of X-Axis Side Length Range with std::vector<int> value.

The X-axis side length range of regions you want to keep.

Parameters:

x_axis_side_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

const std::vector<int> &get_y_axis_side_range() const#

Get Y-Axis Side Length Range.

The Y-axis side length range of regions you want to keep.

Returns:

const std::vector<int> & Y-Axis Side Length Range

AxialSideLengthRange &set_y_axis_side_range(const std::vector<int> &y_axis_side_range)#

Set Y-Axis Side Length Range with std::vector<int> value.

The Y-axis side length range of regions you want to keep.

Parameters:

y_axis_side_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

int get_y_axis_side_range_left() const#

Get left point value of Y-Axis Side Length Range.

Returns:

const std::vector<int> & left point value of Y-Axis Side Length Range

int get_y_axis_side_range_right() const#

Get the right point value of Y-Axis Side Length Range.

Returns:

const std::vector<int> & the right point value of Y-Axis Side Length Range

AxialSideLengthRange &set_y_axis_side_range_left(int y_axis_side_range_left)#

Set left point value of Y-Axis Side Length Range with std::vector<int> value.

The Y-axis side length range of regions you want to keep.

Parameters:

y_axis_side_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

AxialSideLengthRange &set_y_axis_side_range_right(int y_axis_side_range_right)#

Set the right point value of Y-Axis Side Length Range with std::vector<int> value.

The Y-axis side length range of regions you want to keep.

Parameters:

y_axis_side_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

const std::vector<double> &get_x_y_ratio_range() const#

Get X/Y Ratio Range.

The range of the ratio of X-axis side length to the Y-axis side length of the regions that you want to keep.

Returns:

const std::vector<double> & X/Y Ratio Range

AxialSideLengthRange &set_x_y_ratio_range(const std::vector<double> &x_y_ratio_range)#

Set X/Y Ratio Range with std::vector<double> value.

The range of the ratio of X-axis side length to the Y-axis side length of the regions that you want to keep.

Parameters:

x_y_ratio_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

double get_x_y_ratio_range_left() const#

Get left point value of X/Y Ratio Range.

Returns:

const std::vector<double> & left point value of X/Y Ratio Range

double get_x_y_ratio_range_right() const#

Get the right point value of X/Y Ratio Range.

Returns:

const std::vector<double> & the right point value of X/Y Ratio Range

AxialSideLengthRange &set_x_y_ratio_range_left(double x_y_ratio_range_left)#

Set left point value of X/Y Ratio Range with std::vector<double> value.

The range of the ratio of X-axis side length to the Y-axis side length of the regions that you want to keep.

Parameters:

x_y_ratio_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

AxialSideLengthRange &set_x_y_ratio_range_right(double x_y_ratio_range_right)#

Set the right point value of X/Y Ratio Range with std::vector<double> value.

The range of the ratio of X-axis side length to the Y-axis side length of the regions that you want to keep.

Parameters:

x_y_ratio_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

AxialSideLengthRange& the reference of this object.

class SideLengthRange : public aidi::param::ISchemable#

SideLengthRange Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Side Length Filter.

Enable this option to filter regions with long side length and short side length.

See also

set_enable()

Returns:

bool Side Length Filter

SideLengthRange &set_enable(bool enable)#

Set Side Length Filter with bool value.

Enable this option to filter regions with long side length and short side length.

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

bool get_on_rotate_rect() const#

Get Filter On Min-Area-Rect.

The “Longer Side Length Range” and “Shorter Side Length Range” will be applied to the min-area rotate rectangle of each region if this option is enabled, otherwise, they will be applied to the axial bounding rect.

Returns:

bool Filter On Min-Area-Rect

SideLengthRange &set_on_rotate_rect(bool on_rotate_rect)#

Set Filter On Min-Area-Rect with bool value.

The “Longer Side Length Range” and “Shorter Side Length Range” will be applied to the min-area rotate rectangle of each region if this option is enabled, otherwise, they will be applied to the axial bounding rect.

Parameters:

on_rotate_rect – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

const std::vector<int> &get_longer_side_range() const#

Get Longer Side Length Range.

The longer side length range of regions you want to keep.

Returns:

const std::vector<int> & Longer Side Length Range

SideLengthRange &set_longer_side_range(const std::vector<int> &longer_side_range)#

Set Longer Side Length Range with std::vector<int> value.

The longer side length range of regions you want to keep.

Parameters:

longer_side_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

int get_longer_side_range_left() const#

Get left point value of Longer Side Length Range.

Returns:

const std::vector<int> & left point value of Longer Side Length Range

int get_longer_side_range_right() const#

Get the right point value of Longer Side Length Range.

Returns:

const std::vector<int> & the right point value of Longer Side Length Range

SideLengthRange &set_longer_side_range_left(int longer_side_range_left)#

Set left point value of Longer Side Length Range with std::vector<int> value.

The longer side length range of regions you want to keep.

Parameters:

longer_side_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

SideLengthRange &set_longer_side_range_right(int longer_side_range_right)#

Set the right point value of Longer Side Length Range with std::vector<int> value.

The longer side length range of regions you want to keep.

Parameters:

longer_side_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

const std::vector<int> &get_shorter_side_range() const#

Get Shorter Side Length Range.

The shorter side length range of regions you want to keep.

Returns:

const std::vector<int> & Shorter Side Length Range

SideLengthRange &set_shorter_side_range(const std::vector<int> &shorter_side_range)#

Set Shorter Side Length Range with std::vector<int> value.

The shorter side length range of regions you want to keep.

Parameters:

shorter_side_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

int get_shorter_side_range_left() const#

Get left point value of Shorter Side Length Range.

Returns:

const std::vector<int> & left point value of Shorter Side Length Range

int get_shorter_side_range_right() const#

Get the right point value of Shorter Side Length Range.

Returns:

const std::vector<int> & the right point value of Shorter Side Length Range

SideLengthRange &set_shorter_side_range_left(int shorter_side_range_left)#

Set left point value of Shorter Side Length Range with std::vector<int> value.

The shorter side length range of regions you want to keep.

Parameters:

shorter_side_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

SideLengthRange &set_shorter_side_range_right(int shorter_side_range_right)#

Set the right point value of Shorter Side Length Range with std::vector<int> value.

The shorter side length range of regions you want to keep.

Parameters:

shorter_side_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

const std::vector<double> &get_aspect_ratio_range() const#

Get Aspect Ratio Range.

The range of the ratio of the short side to the long side of the regions that you want to keep.

Returns:

const std::vector<double> & Aspect Ratio Range

SideLengthRange &set_aspect_ratio_range(const std::vector<double> &aspect_ratio_range)#

Set Aspect Ratio Range with std::vector<double> value.

The range of the ratio of the short side to the long side of the regions that you want to keep.

Parameters:

aspect_ratio_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

double get_aspect_ratio_range_left() const#

Get left point value of Aspect Ratio Range.

Returns:

const std::vector<double> & left point value of Aspect Ratio Range

double get_aspect_ratio_range_right() const#

Get the right point value of Aspect Ratio Range.

Returns:

const std::vector<double> & the right point value of Aspect Ratio Range

SideLengthRange &set_aspect_ratio_range_left(double aspect_ratio_range_left)#

Set left point value of Aspect Ratio Range with std::vector<double> value.

The range of the ratio of the short side to the long side of the regions that you want to keep.

Parameters:

aspect_ratio_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

SideLengthRange &set_aspect_ratio_range_right(double aspect_ratio_range_right)#

Set the right point value of Aspect Ratio Range with std::vector<double> value.

The range of the ratio of the short side to the long side of the regions that you want to keep.

Parameters:

aspect_ratio_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SideLengthRange& the reference of this object.

class FilterScript : public aidi::param::ISchemable#

FilterScript Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable Filter Script.

Enable this option to filter regions with customized python script.

See also

set_enable()

Returns:

bool Enable Filter Script

FilterScript &set_enable(bool enable)#

Set Enable Filter Script with bool value.

Enable this option to filter regions with customized python script.

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

FilterScript& the reference of this object.

const std::string &get_filter_script() const#

Get Filter Script.

The python script.

Returns:

const std::string & Filter Script

FilterScript &set_filter_script(const std::string &filter_script)#

Set Filter Script with std::string value.

The python script.

Parameters:

filter_script – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

FilterScript& the reference of this object.

class SingleClassPolygonsFilterParamters : public aidi::param::ISchemable#

SingleClassPolygonsFilterParamters Parameter class generated by jinja2 automatically.

Common Regions filter parameters to filter regions.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const std::vector<int> &get_area_range() const#

Get Area Range.

The area range of the regions you want to keep

See also

set_area_range()

Returns:

const std::vector<int> & Area Range

SingleClassPolygonsFilterParamters &set_area_range(const std::vector<int> &area_range)#

Set Area Range with std::vector<int> value.

The area range of the regions you want to keep

See also

get_area_range()

Parameters:

area_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SingleClassPolygonsFilterParamters& the reference of this object.

int get_area_range_left() const#

Get left point value of Area Range.

Returns:

const std::vector<int> & left point value of Area Range

int get_area_range_right() const#

Get the right point value of Area Range.

Returns:

const std::vector<int> & the right point value of Area Range

SingleClassPolygonsFilterParamters &set_area_range_left(int area_range_left)#

Set left point value of Area Range with std::vector<int> value.

The area range of the regions you want to keep

Parameters:

area_range_left – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SingleClassPolygonsFilterParamters& the reference of this object.

SingleClassPolygonsFilterParamters &set_area_range_right(int area_range_right)#

Set the right point value of Area Range with std::vector<int> value.

The area range of the regions you want to keep

Parameters:

area_range_right – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SingleClassPolygonsFilterParamters& the reference of this object.

const AxialSideLengthRange &get_axial_side_filter() const#

Get Axial-Side-Length Filter.

Filter regions with X/Y-axis side length.

Returns:

const AxialSideLengthRange & Axial-Side-Length Filter

SingleClassPolygonsFilterParamters &set_axial_side_filter(const AxialSideLengthRange &axial_side_filter)#

Set Axial-Side-Length Filter with AxialSideLengthRange value.

Filter regions with X/Y-axis side length.

Parameters:

axial_side_filter – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SingleClassPolygonsFilterParamters& the reference of this object.

AxialSideLengthRange &get_axial_side_filter()#

Get mutable reference of Axial-Side-Length Filter.

Filter regions with X/Y-axis side length.

Returns:

SingleClassPolygonsFilterParamters& the mutable reference of the group.

const SideLengthRange &get_side_filter() const#

Get Side-Length Filter.

Filter regions with Side length

Returns:

const SideLengthRange & Side-Length Filter

SingleClassPolygonsFilterParamters &set_side_filter(const SideLengthRange &side_filter)#

Set Side-Length Filter with SideLengthRange value.

Filter regions with Side length

Parameters:

side_filter – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

SingleClassPolygonsFilterParamters& the reference of this object.

SideLengthRange &get_side_filter()#

Get mutable reference of Side-Length Filter.

Filter regions with Side length

Returns:

SingleClassPolygonsFilterParamters& the mutable reference of the group.

class PolygonsFilterParamters : public aidi::param::SchemableParameter#

PolygonsFilterParamters Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const std::map<std::string, SingleClassPolygonsFilterParamters> &get_class_thresholds() const#

Get Class Polygon Thresholds.

Polygon thresholds (area, side-length,etc.) named with the label classes according to which to filter the polygons.

Returns:

const std::map<std::string, SingleClassPolygonsFilterParamters> & Class Polygon Thresholds

PolygonsFilterParamters &set_class_thresholds(const std::map<std::string, SingleClassPolygonsFilterParamters> &class_thresholds)#

Set Class Polygon Thresholds with std::map<std::string, SingleClassPolygonsFilterParamters> value.

Polygon thresholds (area, side-length,etc.) named with the label classes according to which to filter the polygons.

Parameters:

class_thresholds – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

PolygonsFilterParamters& the reference of this object.

const SingleClassPolygonsFilterParamters &get_class_thresholds(const std::string &key) const#

Get value in Class Polygon Thresholds with key.

Warning

The key must be exist in Class Polygon Thresholds. otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

const std::map<std::string, SingleClassPolygonsFilterParamters> & value in Class Polygon Thresholds at key.

PolygonsFilterParamters &set_class_thresholds(const std::string &key, const SingleClassPolygonsFilterParamters &value)#

Set value in Class Polygon Thresholds with key.

Parameters:
  • key – the key to set.

  • value – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

PolygonsFilterParamters& the reference of this object.

bool class_thresholds_contains(const std::string &key) const#

Check if the key is exist in Class Polygon Thresholds.

Returns:

bool true if the key is exist in Class Polygon Thresholds, otherwise false.

size_t get_class_thresholds_size() const#

Get the size of Class Polygon Thresholds.

Returns:

size_t the size of Class Polygon Thresholds

SingleClassPolygonsFilterParamters &get_class_thresholds(const std::string &key)#

Get mutable reference of value in Class Polygon Thresholds with key. A new key and default value will be created if the key does not exist.

Returns:

SingleClassPolygonsFilterParamters& the mutable reference of value in Class Polygon Thresholds at key.

const SingleClassPolygonsFilterParamters &get_additional_threshold() const#

Get Additional Probability Thresholds.

Additional polygon threshold for other label classes not in “Class Polygon Thresholds”. The filter operator will filter all feature maps whose label class is not in “Class Polygon Thresholds” with the additional threshold.

Returns:

const SingleClassPolygonsFilterParamters & Additional Probability Thresholds

PolygonsFilterParamters &set_additional_threshold(const SingleClassPolygonsFilterParamters &additional_threshold)#

Set Additional Probability Thresholds with SingleClassPolygonsFilterParamters value.

Additional polygon threshold for other label classes not in “Class Polygon Thresholds”. The filter operator will filter all feature maps whose label class is not in “Class Polygon Thresholds” with the additional threshold.

Parameters:

additional_threshold – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

PolygonsFilterParamters& the reference of this object.

SingleClassPolygonsFilterParamters &get_additional_threshold()#

Get mutable reference of Additional Probability Thresholds.

Additional polygon threshold for other label classes not in “Class Polygon Thresholds”. The filter operator will filter all feature maps whose label class is not in “Class Polygon Thresholds” with the additional threshold.

Returns:

PolygonsFilterParamters& the mutable reference of the group.

const FilterScript &get_script_filter() const#

Get Customized Script Filter.

Filter regions with python script.

Returns:

const FilterScript & Customized Script Filter

PolygonsFilterParamters &set_script_filter(const FilterScript &script_filter)#

Set Customized Script Filter with FilterScript value.

Filter regions with python script.

Parameters:

script_filter – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

PolygonsFilterParamters& the reference of this object.

FilterScript &get_script_filter()#

Get mutable reference of Customized Script Filter.

Filter regions with python script.

Returns:

PolygonsFilterParamters& the mutable reference of the group.

class FeatureMapFilterParameters : public aidi::param::SchemableParameter#

FeatureMapFilterParameters Parameter class generated by jinja2 automatically.

Parameters to config the feature map filter.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const std::map<std::string, double> &get_class_thresholds() const#

Get Class Probability Thresholds.

Thresholds named with the label classes according to which to binarize the feature map.

Returns:

const std::map<std::string, double> & Class Probability Thresholds

FeatureMapFilterParameters &set_class_thresholds(const std::map<std::string, double> &class_thresholds)#

Set Class Probability Thresholds with std::map<std::string, double> value.

Thresholds named with the label classes according to which to binarize the feature map.

Parameters:

class_thresholds – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

FeatureMapFilterParameters& the reference of this object.

double get_class_thresholds(const std::string &key) const#

Get value in Class Probability Thresholds with key.

Warning

The key must be exist in Class Probability Thresholds. otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

const std::map<std::string, double> & value in Class Probability Thresholds at key.

FeatureMapFilterParameters &set_class_thresholds(const std::string &key, double value)#

Set value in Class Probability Thresholds with key.

Parameters:
  • key – the key to set.

  • value – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

FeatureMapFilterParameters& the reference of this object.

bool class_thresholds_contains(const std::string &key) const#

Check if the key is exist in Class Probability Thresholds.

Returns:

bool true if the key is exist in Class Probability Thresholds, otherwise false.

size_t get_class_thresholds_size() const#

Get the size of Class Probability Thresholds.

Returns:

size_t the size of Class Probability Thresholds

double get_additional_threshold() const#

Get Additional Probability Thresholds.

Additional threshold for other label classes not in “Class Probability Thresholds”. The aidi::opers::FeatureMapFilter will filter all feature maps whose label class is not in “Class Probability Thresholds” with the additional threshold.

Returns:

double Additional Probability Thresholds

FeatureMapFilterParameters &set_additional_threshold(double additional_threshold)#

Set Additional Probability Thresholds with double value.

Additional threshold for other label classes not in “Class Probability Thresholds”. The aidi::opers::FeatureMapFilter will filter all feature maps whose label class is not in “Class Probability Thresholds” with the additional threshold.

Parameters:

additional_threshold – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

FeatureMapFilterParameters& the reference of this object.

int get_dilate_pixels() const#

Get Dilate Pixels.

Dilate the filtered regions by the specified pixels. This option can be used to merge closely scattered defects together.

Returns:

int Dilate Pixels

FeatureMapFilterParameters &set_dilate_pixels(int dilate_pixels)#

Set Dilate Pixels with int value.

Dilate the filtered regions by the specified pixels. This option can be used to merge closely scattered defects together.

Parameters:

dilate_pixels – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

FeatureMapFilterParameters& the reference of this object.

Training logs#

class LossCurve : public aidi::param::ISchemable#

LossCurve Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const std::vector<double> &get_values() const#

Get values.

A loss curve

See also

set_values()

Returns:

const std::vector<double> & values

LossCurve &set_values(const std::vector<double> &values)#

Set values with std::vector<double> value.

A loss curve

See also

get_values()

Parameters:

values – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

LossCurve& the reference of this object.

double get_values(size_t index) const#

Get value in values with index.

Warning

The index must be less than get_values_size(). otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

double value in values at index.

size_t get_values_size() const#

Get the size of values.

Returns:

size_t the size of values

class TrainingLog : public aidi::param::SchemableParameter#

TrainingLog Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

int get_start_at() const#

Get Start Time.

The training task start time.

See also

set_start_at()

Returns:

int Start Time

TrainingLog &set_start_at(int start_at)#

Set Start Time with int value.

The training task start time.

See also

get_start_at()

Parameters:

start_at – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

TrainingLog& the reference of this object.

int get_end_at() const#

Get End Time.

The training task finish time.

See also

set_end_at()

Returns:

int End Time

TrainingLog &set_end_at(int end_at)#

Set End Time with int value.

The training task finish time.

See also

get_end_at()

Parameters:

end_at – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

TrainingLog& the reference of this object.

const std::map<std::string, LossCurve> &get_loss() const#

Get Loss.

Loss curves with name

See also

set_loss()

Returns:

const std::map<std::string, LossCurve> & Loss

TrainingLog &set_loss(const std::map<std::string, LossCurve> &loss)#

Set Loss with std::map<std::string, LossCurve> value.

Loss curves with name

See also

get_loss()

Parameters:

loss – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

TrainingLog& the reference of this object.

const LossCurve &get_loss(const std::string &key) const#

Get value in Loss with key.

Warning

The key must be exist in Loss. otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

const std::map<std::string, LossCurve> & value in Loss at key.

TrainingLog &set_loss(const std::string &key, const LossCurve &value)#

Set value in Loss with key.

Parameters:
  • key – the key to set.

  • value – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

TrainingLog& the reference of this object.

bool loss_contains(const std::string &key) const#

Check if the key is exist in Loss.

Returns:

bool true if the key is exist in Loss, otherwise false.

size_t get_loss_size() const#

Get the size of Loss.

Returns:

size_t the size of Loss

LossCurve &get_loss(const std::string &key)#

Get mutable reference of value in Loss with key. A new key and default value will be created if the key does not exist.

Returns:

LossCurve& the mutable reference of value in Loss at key.

Ungrouped Parameters#

class InferenceBatchSize : public aidi::param::SchemableParameter#

InferenceBatchSize Parameter class generated by jinja2 automatically.

Inference BatchSize, Currently only contains batch size. It may need to be refactored in the future.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

int get_batch_size() const#

Get Inference Batch Size.

The batch size for inference. You can set it to the number of pictures you wish to infer at the same time. Usually the default value of 1 is sufficient. Note that if you set larger batches without giving enough images per inference, it may actually slow down inference.

See also

set_batch_size()

Returns:

int Inference Batch Size

InferenceBatchSize &set_batch_size(int batch_size)#

Set Inference Batch Size with int value.

The batch size for inference. You can set it to the number of pictures you wish to infer at the same time. Usually the default value of 1 is sufficient. Note that if you set larger batches without giving enough images per inference, it may actually slow down inference.

See also

get_batch_size()

Parameters:

batch_size – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

InferenceBatchSize& the reference of this object.

class RegionsMatcherParameters : public aidi::param::SchemableParameter#

RegionsMatcherParameters Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_use_ciou() const#

Get Use C-IoU.

We provide two different IoU algorithm: Classic IoU and Complete IoU (C-IoU). The default Classic IoU is simple and stricter, but sometimes it’s not intuitive. If you want to compare results more intuitively, please enable this option to use C-IoU. Note that Note that the IoU threshold need to be adjusted after changing this option.

See also

set_use_ciou()

Returns:

bool Use C-IoU

RegionsMatcherParameters &set_use_ciou(bool use_ciou)#

Set Use C-IoU with bool value.

We provide two different IoU algorithm: Classic IoU and Complete IoU (C-IoU). The default Classic IoU is simple and stricter, but sometimes it’s not intuitive. If you want to compare results more intuitively, please enable this option to use C-IoU. Note that Note that the IoU threshold need to be adjusted after changing this option.

See also

get_use_ciou()

Parameters:

use_ciou – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

RegionsMatcherParameters& the reference of this object.

double get_iou_threshold() const#

Get IoU Threshold.

If the IoU of the predicted region and the labeled region is lower than this given threshold, the two regions cannot match.

Returns:

double IoU Threshold

RegionsMatcherParameters &set_iou_threshold(double iou_threshold)#

Set IoU Threshold with double value.

If the IoU of the predicted region and the labeled region is lower than this given threshold, the two regions cannot match.

Parameters:

iou_threshold – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

RegionsMatcherParameters& the reference of this object.

class TRTCalibParameters : public aidi::param::SchemableParameter#

TRTCalibParameters Parameter class generated by jinja2 automatically.

TensorRT Int8 Calibrator Parameters

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_place_holder() const#

Get PlaceHolder.

Returns:

bool PlaceHolder

TRTCalibParameters &set_place_holder(bool place_holder)#

Set PlaceHolder with bool value.

Parameters:

place_holder – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

TRTCalibParameters& the reference of this object.

OCR Parameters#

class OCRNodeTemplate : public aidi::param::ISchemable#

OCRNodeTemplate Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_place_holder() const#

Get Place Holder.

Returns:

bool Place Holder

OCRNodeTemplate &set_place_holder(bool place_holder)#

Set Place Holder with bool value.

Parameters:

place_holder – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRNodeTemplate& the reference of this object.

class OCRStringTemplate : public aidi::param::ISchemable#

OCRStringTemplate Parameter class generated by jinja2 automatically.

String template is used to control how to match characters into strings.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

int get_min_length() const#

Get Minimum String Length.

String shorter than the minimum length will be ignored.

See also

set_min_length()

Returns:

int Minimum String Length

OCRStringTemplate &set_min_length(int min_length)#

Set Minimum String Length with int value.

String shorter than the minimum length will be ignored.

See also

get_min_length()

Parameters:

min_length – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRStringTemplate& the reference of this object.

int get_max_char_interval() const#

Get Maximum Character Interval.

The maximum interval between characters in a string, Two characters with interval longer than this threshold will be matched into two different strings.

Returns:

int Maximum Character Interval

OCRStringTemplate &set_max_char_interval(int max_char_interval)#

Set Maximum Character Interval with int value.

The maximum interval between characters in a string, Two characters with interval longer than this threshold will be matched into two different strings.

Parameters:

max_char_interval – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRStringTemplate& the reference of this object.

int get_main_direction() const#

Get String Main Direction.

Direction of strings based on statistics. (It is specified that the x-axis direction is 0 degrees, and the positive direction of the x-axis points to the positive direction of the y-axis is the positive direction of the angle)

Returns:

int String Main Direction

OCRStringTemplate &set_main_direction(int main_direction)#

Set String Main Direction with int value.

Direction of strings based on statistics. (It is specified that the x-axis direction is 0 degrees, and the positive direction of the x-axis points to the positive direction of the y-axis is the positive direction of the angle)

Parameters:

main_direction – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRStringTemplate& the reference of this object.

int get_angle_range() const#

Get Rotate Angle Range.

The rotate angle range of the string, which means that the string can be rotated slightly within an angular range centered on the main direction.

Returns:

int Rotate Angle Range

OCRStringTemplate &set_angle_range(int angle_range)#

Set Rotate Angle Range with int value.

The rotate angle range of the string, which means that the string can be rotated slightly within an angular range centered on the main direction.

Parameters:

angle_range – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRStringTemplate& the reference of this object.

class OCRFilterParameters : public aidi::param::SchemableParameter#

OCRFilterParameters Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

double get_threshold() const#

Get Confidence Threshold.

Keypoints with confidence greater than this threshold will be determined as a character target.

See also

set_threshold()

Returns:

double Confidence Threshold

OCRFilterParameters &set_threshold(double threshold)#

Set Confidence Threshold with double value.

Keypoints with confidence greater than this threshold will be determined as a character target.

See also

get_threshold()

Parameters:

threshold – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRFilterParameters& the reference of this object.

double get_density() const#

Get Search Denisty.

Density of characters.

See also

set_density()

Returns:

double Search Denisty

OCRFilterParameters &set_density(double density)#

Set Search Denisty with double value.

Density of characters.

See also

get_density()

Parameters:

density – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRFilterParameters& the reference of this object.

class OCRInferParameters : public aidi::param::SchemableParameter#

OCRInferParameters Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Customize Character Size.

Enable this option to customize target character size if the character in inference image is not match with the size of training data.

See also

set_enable()

Returns:

bool Customize Character Size

OCRInferParameters &set_enable(bool enable)#

Set Customize Character Size with bool value.

Enable this option to customize target character size if the character in inference image is not match with the size of training data.

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRInferParameters& the reference of this object.

int get_target_feat_width() const#

Get Target Character Wdith.

The target character wdith in inference data.

Returns:

int Target Character Wdith

OCRInferParameters &set_target_feat_width(int target_feat_width)#

Set Target Character Wdith with int value.

The target character wdith in inference data.

Parameters:

target_feat_width – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRInferParameters& the reference of this object.

int get_target_feat_height() const#

Get Target Character Height.

The target character height in inference data.

Returns:

int Target Character Height

OCRInferParameters &set_target_feat_height(int target_feat_height)#

Set Target Character Height with int value.

The target character height in inference data.

Parameters:

target_feat_height – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRInferParameters& the reference of this object.

class OCRTemplates : public aidi::param::SchemableParameter#

OCRTemplates Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const std::vector<OCRStringTemplate> &get_string_templates() const#

Get String Templates.

String templates.

Returns:

const std::vector<OCRStringTemplate> & String Templates

OCRTemplates &set_string_templates(const std::vector<OCRStringTemplate> &string_templates)#

Set String Templates with std::vector<OCRStringTemplate> value.

String templates.

Parameters:

string_templates – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRTemplates& the reference of this object.

const OCRStringTemplate &get_string_templates(size_t index) const#

Get value in String Templates with index.

Warning

The index must be less than get_string_templates_size(). otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

const OCRStringTemplate & value in String Templates at index.

size_t get_string_templates_size() const#

Get the size of String Templates.

Returns:

size_t the size of String Templates

OCRStringTemplate &get_string_templates(size_t index)#

Get mutable reference of value in String Templates with index.

Warning

The index must be less than get_string_templates_size(). otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

OCRStringTemplate& the mutable reference of value in String Templates at index.

const std::vector<OCRNodeTemplate> &get_node_templates() const#

Get Node Templates.

Node templates.

Returns:

const std::vector<OCRNodeTemplate> & Node Templates

OCRTemplates &set_node_templates(const std::vector<OCRNodeTemplate> &node_templates)#

Set Node Templates with std::vector<OCRNodeTemplate> value.

Node templates.

Parameters:

node_templates – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRTemplates& the reference of this object.

const OCRNodeTemplate &get_node_templates(size_t index) const#

Get value in Node Templates with index.

Warning

The index must be less than get_node_templates_size(). otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

const OCRNodeTemplate & value in Node Templates at index.

size_t get_node_templates_size() const#

Get the size of Node Templates.

Returns:

size_t the size of Node Templates

OCRNodeTemplate &get_node_templates(size_t index)#

Get mutable reference of value in Node Templates with index.

Warning

The index must be less than get_node_templates_size(). otherwise, the behavior is undefined and will cause segmentation fault.

Returns:

OCRNodeTemplate& the mutable reference of value in Node Templates at index.

class OCRTrainingParameters : public aidi::param::SchemableParameter#

OCRTrainingParameters Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

const DataAugmentation &get_augmentations() const#

Get Data Augmentation.

Data Augmentation Parameters

Returns:

const DataAugmentation & Data Augmentation

OCRTrainingParameters &set_augmentations(const DataAugmentation &augmentations)#

Set Data Augmentation with DataAugmentation value.

Data Augmentation Parameters

Parameters:

augmentations – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

OCRTrainingParameters& the reference of this object.

DataAugmentation &get_augmentations()#

Get mutable reference of Data Augmentation.

Data Augmentation Parameters

Returns:

OCRTrainingParameters& the mutable reference of the group.

以下参数项仅为示例#

class ExampleAugRotate : public aidi::param::ISchemable#

ExampleAugRotate Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable.

Enable this augments

See also

set_enable()

Returns:

bool Enable

ExampleAugRotate &set_enable(bool enable)#

Set Enable with bool value.

Enable this augments

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugRotate& the reference of this object.

double get_rotate_angle() const#

Get Rotate Angle.

Rotate angle

Returns:

double Rotate Angle

ExampleAugRotate &set_rotate_angle(double rotate_angle)#

Set Rotate Angle with double value.

Rotate angle

Parameters:

rotate_angle – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugRotate& the reference of this object.

bool get_flip_horizontal() const#

Get Flip Horizontal.

Flip horizontal

Returns:

bool Flip Horizontal

ExampleAugRotate &set_flip_horizontal(bool flip_horizontal)#

Set Flip Horizontal with bool value.

Flip horizontal

Parameters:

flip_horizontal – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugRotate& the reference of this object.

bool get_flip_vertical() const#

Get Flip Vertical.

Flip vertical

Returns:

bool Flip Vertical

ExampleAugRotate &set_flip_vertical(bool flip_vertical)#

Set Flip Vertical with bool value.

Flip vertical

Parameters:

flip_vertical – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugRotate& the reference of this object.

class ExampleAugShift : public aidi::param::ISchemable#

ExampleAugShift Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable.

Enable this augments

See also

set_enable()

Returns:

bool Enable

ExampleAugShift &set_enable(bool enable)#

Set Enable with bool value.

Enable this augments

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugShift& the reference of this object.

double get_shift_width() const#

Get Shift Width.

Shift width

Returns:

double Shift Width

ExampleAugShift &set_shift_width(double shift_width)#

Set Shift Width with double value.

Shift width

Parameters:

shift_width – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugShift& the reference of this object.

double get_shift_height() const#

Get Shift Height.

Shift height

Returns:

double Shift Height

ExampleAugShift &set_shift_height(double shift_height)#

Set Shift Height with double value.

Shift height

Parameters:

shift_height – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugShift& the reference of this object.

class ExampleAugments : public aidi::param::SchemableParameter#

ExampleAugments Parameter class generated by jinja2 automatically.

Public Functions

virtual const std::string &schema_str() const override#

Get the json schema of the class.

Returns:

std::string the json schema string.

bool get_enable() const#

Get Enable.

Enable this augments

See also

set_enable()

Returns:

bool Enable

ExampleAugments &set_enable(bool enable)#

Set Enable with bool value.

Enable this augments

See also

get_enable()

Parameters:

enable – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugments& the reference of this object.

const ExampleAugShift &get_shift() const#

Get Shift.

Shift augments

See also

set_shift()

Returns:

const ExampleAugShift & Shift

ExampleAugments &set_shift(const ExampleAugShift &shift)#

Set Shift with ExampleAugShift value.

Shift augments

See also

get_shift()

Parameters:

shift – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugments& the reference of this object.

ExampleAugShift &get_shift()#

Get mutable reference of Shift.

Shift augments

Returns:

ExampleAugments& the mutable reference of the group.

const ExampleAugRotate &get_rotate() const#

Get Rotate.

Rotate augments

See also

set_rotate()

Returns:

const ExampleAugRotate & Rotate

ExampleAugments &set_rotate(const ExampleAugRotate &rotate)#

Set Rotate with ExampleAugRotate value.

Rotate augments

See also

get_rotate()

Parameters:

rotate – the value to set.

Throws:

aidi::excepts::JsonSchemaValidationError – if validate the value with json schema failed.

Returns:

ExampleAugments& the reference of this object.

ExampleAugRotate &get_rotate()#

Get mutable reference of Rotate.

Rotate augments

Returns:

ExampleAugments& the mutable reference of the group.