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* add normalize with alpha and beta

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* add copyright to yolov5.cc

* revert normalize

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* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

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fix variable option.trt_max_shape wrong name

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* Delete detection.py

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* Yolor (#16)

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* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

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* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

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* Develop (#13)

* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>

* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

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* Develop (#14)

* Fix compile problem in different python version (#26)

* fix some usage problem in linux

* Fix compile problem

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* Add PaddleDetetion/PPYOLOE model support (#22)

* add ppdet/ppyoloe

* Add demo code and documents

* add convert processor to vision (#27)

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

* fixed examples/CMakeLists.txt to avoid conflicts

* add convert processor to vision

* format examples/CMakeLists summary

* Fix bug while the inference result is empty with YOLOv5 (#29)

* Add multi-label function for yolov5

* Update README.md

Update doc

* Update fastdeploy_runtime.cc

fix variable option.trt_max_shape wrong name

* Update runtime_option.md

Update resnet model dynamic shape setting name from images to x

* Fix bug when inference result boxes are empty

* Delete detection.py

Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
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Co-authored-by: huangjianhui <852142024@qq.com>

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* add is_dynamic for YOLO series (#22)

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5 changes: 3 additions & 2 deletions docs/api/vision_results/README.md
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Expand Up @@ -6,5 +6,6 @@ FastDeploy根据视觉模型的任务类型,定义了不同的结构体(`csrcs
| :----- | :--- | :---- | :------- |
| ClassificationResult | [C++/Python文档](./classification_result.md) | 图像分类返回结果 | ResNet50、MobileNetV3等 |
| DetectionResult | [C++/Python文档](./detection_result.md) | 目标检测返回结果 | PPYOLOE、YOLOv7系列模型等 |
| FaceDetectionResult | [C++/Python文档](./face_detection_result.md) | 目标检测返回结果 | PPYOLOE、YOLOv7系列模型等 |
| MattingResult | [C++/Python文档](./matting_result.md) | 目标检测返回结果 | PPYOLOE、YOLOv7系列模型等 |
| FaceDetectionResult | [C++/Python文档](./face_detection_result.md) | 目标检测返回结果 | SCRFD、RetinaFace系列模型等 |
| FaceRecognitionResult | [C++/Python文档](./face_recognition_result.md) | 目标检测返回结果 | ArcFace、CosFace系列模型等 |
| MattingResult | [C++/Python文档](./matting_result.md) | 目标检测返回结果 | MODNet系列模型等 |
4 changes: 2 additions & 2 deletions docs/api/vision_results/classification_result.md
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Expand Up @@ -2,7 +2,7 @@

ClassifyResult代码定义在`csrcs/fastdeploy/vision/common/result.h`中,用于表明图像的分类结果和置信度。

## C++ 结构体
## C++ 定义

`fastdeploy::vision::ClassifyResult`

Expand All @@ -20,7 +20,7 @@ struct ClassifyResult {
- **Clear()**: 成员函数,用于清除结构体中存储的结果
- **Str()**: 成员函数,将结构体中的信息以字符串形式输出(用于Debug)

## Python结构体
## Python 定义

`fastdeploy.vision.ClassifyResult`

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6 changes: 3 additions & 3 deletions docs/api/vision_results/detection_result.md
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Expand Up @@ -2,7 +2,7 @@

DetectionResult代码定义在`csrcs/fastdeploy/vision/common/result.h`中,用于表明图像检测出来的目标框、目标类别和目标置信度。

## C++ 结构体
## C++ 定义

`fastdeploy::vision::DetectionResult`

Expand All @@ -22,10 +22,10 @@ struct DetectionResult {
- **Clear()**: 成员函数,用于清除结构体中存储的结果
- **Str()**: 成员函数,将结构体中的信息以字符串形式输出(用于Debug)

## Python结构体
## Python 定义

`fastdeploy.vision.DetectionResult`

- **boxes**(list of list(float)): 成员变量,表示单张图片检测出来的所有目标框坐标。boxes是一个list,其每个元素为一个长度为4的list, 表示为一个框,每个框以4个float数值依次表示xmin, ymin, xmax, ymax, 即左上角和右下角坐标
- **scores**(list of float): 成员变量,表示单张图片检测出来的所有目标置信度
- **label_ids(list of int): 成员变量,表示单张图片检测出来的所有目标类别
- **label_ids**(list of int): 成员变量,表示单张图片检测出来的所有目标类别
8 changes: 4 additions & 4 deletions docs/api/vision_results/face_detection_result.md
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@@ -1,8 +1,8 @@
# FaceDetectionResult 人脸检测结果

FaceDetectionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中,用于表明图像检测出来的目标框、目标类别和目标置信度
FaceDetectionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中,用于表明人脸检测出来的目标框、人脸landmarks,目标置信度和每张人脸的landmark数量

## C++ 结构体
## C++ 定义

`fastdeploy::vision::FaceDetectionResult`

Expand All @@ -11,7 +11,6 @@ struct FaceDetectionResult {
std::vector<std::array<float, 4>> boxes;
std::vector<std::array<float, 2>> landmarks;
std::vector<float> scores;
ResultType type = ResultType::FACE_DETECTION;
int landmarks_per_face;
void Clear();
std::string Str();
Expand All @@ -25,10 +24,11 @@ struct FaceDetectionResult {
- **Clear()**: 成员函数,用于清除结构体中存储的结果
- **Str()**: 成员函数,将结构体中的信息以字符串形式输出(用于Debug)

## Python结构体
## Python 定义

`fastdeploy.vision.FaceDetectionResult`

- **boxes**(list of list(float)): 成员变量,表示单张图片检测出来的所有目标框坐标。boxes是一个list,其每个元素为一个长度为4的list, 表示为一个框,每个框以4个float数值依次表示xmin, ymin, xmax, ymax, 即左上角和右下角坐标
- **scores**(list of float): 成员变量,表示单张图片检测出来的所有目标置信度
- **landmarks**: 成员变量,表示单张图片检测出来的所有人脸的关键点
- **landmarks_per_face**: 成员变量,表示每个人脸框中的关键点的数量。
24 changes: 24 additions & 0 deletions docs/api/vision_results/face_recognition_result.md
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@@ -0,0 +1,24 @@
# FaceRecognitionResult 人脸识别结果

FaceRecognitionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中,用于表明人脸识别模型对图像特征的embedding。
## C++ 定义

`fastdeploy::vision::FaceRecognitionResult`

```
struct FaceRecognitionResult {
std::vector<float> embedding;
void Clear();
std::string Str();
};
```

- **embedding**: 成员变量,表示人脸识别模型最终的提取的特征embedding,可以用来计算人脸之间的特征相似度。
- **Clear()**: 成员函数,用于清除结构体中存储的结果
- **Str()**: 成员函数,将结构体中的信息以字符串形式输出(用于Debug)

## Python 定义

`fastdeploy.vision.FaceRecognitionResult`

- **embedding**: 成员变量,表示人脸识别模型最终提取的特征embedding,可以用来计算人脸之间的特征相似度。
10 changes: 5 additions & 5 deletions docs/api/vision_results/matting_result.md
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@@ -1,15 +1,15 @@
# MattingResult 抠图结果

MattingResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中,用于表明图像检测出来的目标框、目标类别和目标置信度
MattingResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中,用于表明模型预测的alpha透明度的值,预测的前景等

## C++ 结构体
## C++ 定义

`fastdeploy::vision::MattingResult`

```
struct MattingResult {
std::vector<float> alpha; // h x w
std::vector<float> foreground; // h x w x c (c=3 default)
std::vector<float> alpha;
std::vector<float> foreground;
std::vector<int64_t> shape;
bool contain_foreground = false;
void Clear();
Expand All @@ -25,7 +25,7 @@ struct MattingResult {
- **Str()**: 成员函数,将结构体中的信息以字符串形式输出(用于Debug)


## Python结构体
## Python 定义

`fastdeploy.vision.MattingResult`

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1 change: 1 addition & 0 deletions examples/vision/README.md
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Expand Up @@ -8,6 +8,7 @@
| Segmentation | 语义分割,输入图像,给出图像中每个像素的分类及置信度 | [SegmentationResult](../../docs/api/vision_results/segmentation_result.md) |
| Classification | 图像分类,输入图像,给出图像的分类结果和置信度 | [ClassifyResult](../../docs/api/vision_results/classification_result.md) |
| FaceDetection | 人脸检测,输入图像,检测图像中人脸位置,并返回检测框坐标及人脸关键点 | [FaceDetectionResult](../../docs/api/vision_results/face_detection_result.md) |
| FaceRecognition | 人脸识别,输入图像,返回可用于相似度计算的人脸特征的embedding | [FaceRecognitionResult](../../docs/api/vision_results/face_recognition_result.md) |
| Matting | 抠图,输入图像,返回图片的前景每个像素点的Alpha值 | [MattingResult](../../docs/api/vision_results/matting_result.md) |
## FastDeploy API设计

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