mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-12-24 13:28:13 +08:00

Files

CoolCola ce4867d14e [Model] Support YOLOv7-face Model (#651 )

* 测试

* delete test

* add yolov7-face

* fit vision.h

* add yolov7-face test

* fit: yolov7-face infer.cc

* fit

* fit Yolov7-face Cmakelist

* fit yolov7Face.cc

* add yolov7-face pybind

* add yolov7-face python infer

* feat yolov7-face pybind

* feat yolov7-face format error

* feat yolov7face_pybind error

* feat add yolov7face-pybind to facedet-pybind

* same as before

* same sa before

* feat __init__.py

* add yolov7face.py

* feat yolov7face.h ignore ","

* feat .py

* fit yolov7face.py

* add yolov7face test teadme file

* add test file

* fit postprocess

* delete remain annotation

* fit preview

* fit yolov7facepreprocessor

* fomat code

* fomat code

* fomat code

* fit format error and confthreshold and nmsthres

* fit confthreshold and nmsthres

* fit test-yolov7-face

* fit test_yolov7face

* fit review

* fit ci error

Co-authored-by: kongbohua <kongbh2022@stu.pku.edu.cn>
Co-authored-by: CoolCola <49013063+kongbohua@users.noreply.github.com>

2022-12-14 19:14:43 +08:00

classification

[Serving] Fixed preprocess&&postprocess in YOLOv5 Serving (#874 )

2022-12-14 10:14:29 +08:00

detection

[Other] Update old Api to new ones (#861 )

2022-12-14 17:25:58 +08:00

facealign

[Turorials] Add tutorials for intel gpu (#860 )

2022-12-13 10:21:56 +08:00

facedet

[Model] Support YOLOv7-face Model (#651 )

2022-12-14 19:14:43 +08:00

faceid

[Doc] Fix the version statement for all example docs (#654 )

2022-11-22 15:00:00 +08:00

headpose

[Turorials] Add tutorials for intel gpu (#860 )

2022-12-13 10:21:56 +08:00

keypointdetection

[Doc] Fix the version statement for all example docs (#654 )

2022-11-22 15:00:00 +08:00

matting

[Other] Update old Api to new ones (#861 )

2022-12-14 17:25:58 +08:00

ocr

[Other] Add const modifier to some OCR interface parameters (#836 )

2022-12-09 09:20:55 +08:00

segmentation/paddleseg

[Backend] A311D support (#825 )

2022-12-13 11:53:36 +08:00

[Model] Modify SR (#674 )

2022-11-25 18:31:22 +08:00

tracking/pptracking

[Doc] Fix the version statement for all example docs (#654 )

2022-11-22 15:00:00 +08:00

README.md

[Doc] Fix dead links (#517 )

2022-11-07 20:49:41 +08:00

README.md

视觉模型部署

本目录下提供了各类视觉模型的部署，主要涵盖以下任务类型

任务类型	说明	预测结果结构体
Detection	目标检测，输入图像，检测图像中物体位置，并返回检测框坐标及类别和置信度	DetectionResult
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
Classification	图像分类，输入图像，给出图像的分类结果和置信度	ClassifyResult
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
FaceAlignment	人脸对齐(人脸关键点检测)，输入图像，返回人脸关键点	FaceAlignmentResult
KeypointDetection	关键点检测，输入图像，返回图像中人物行为的各个关键点坐标和置信度	KeyPointDetectionResult
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
Matting	抠图，输入图像，返回图片的前景每个像素点的Alpha值	MattingResult
OCR	文本框检测，分类，文本框内容识别，输入图像，返回文本框坐标，文本框的方向类别以及框内的文本内容	OCRResult
MOT	多目标跟踪，输入图像，检测图像中物体位置，并返回检测框坐标，对象id及类别置信度	MOTResult
HeadPose	头部姿态估计，返回头部欧拉角	HeadPoseResult

FastDeploy API设计

视觉模型具有较有统一任务范式，在设计API时（包括C++/Python），FastDeploy将视觉模型的部署拆分为四个步骤

模型加载
图像预处理
模型推理
推理结果后处理

FastDeploy针对飞桨的视觉套件，以及外部热门模型，提供端到端的部署服务，用户只需准备模型，按以下步骤即可完成整个模型的部署

加载模型
调用predict接口

FastDeploy在各视觉模型部署时，也支持一键切换后端推理引擎，详情参阅如何切换模型推理引擎。

README.md Unescape Escape

视觉模型部署

FastDeploy API设计

README.md