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human-keypoints-detection's Introduction

Human-Keypoints-Detection

1.目录结构

├── configs                # 模型配置文件
├── models                 # 模型文件
├── data                   # 数据
├── demo                   # demo文件
├── libs                   # 第三方库文件
├── utils                  # 工具包
├── README.md              # 说明文件
├── requirements.txt       #
└── demo.py                # demo测试文件

2. Train

  • 目前只提供推理代码,训练代码暂时不开放

3.Test

  • 测试可视化效果
  • python demo.py
  • 修改demo.py代码,可实现不同的关键点检测
    # 自定义MPII上半身6个关键点
    hp = PoseEstimation(config=val_config.body_mpii_192_256, device="cuda:0")
    # COCO共17个关键点
    # hp = PoseEstimation(config=val_config.person_coco_192_256, device="cuda:0")
    # 自定义COCO上半身11个关键点
    # hp = PoseEstimation(config=val_config.body_coco_192_256, device="cuda:0")
    image_dir = "data/test_images"
    hp.detect_image_dir(image_dir, detect_person=True, waitKey=0)

4.C++版本

git clone https://github.com/PanJinquan/Human-Pose-Estimation-Lite-cpp

目前,已将该仓库python,使用C++实现,支持如下功能:

  • 支持Linux,Android,Windows系统
  • 支持Android CPU和GPU运行(OpenCL加速),轻量化模型在手机上可实时运行,亲测麒麟980测试30ms左右
  • 升级可支持RK芯片NPU(如RK1808 RV1109/RV1126)
  • 提供人体(person)检测模型,包括C++版本
  • 仅用于学习交流,并未进行过多的性能优化
  • 博客《2D Pose人体关键点检测(Python/Android /C++ Demo)

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human-keypoints-detection's Issues

No module named 'memory_profiler'

Traceback (most recent call last):
File "E:/python_projects/pythonProject1/demo.py", line 20, in
from libs.detector.libs.detector.detector import Detector
File "E:\python_projects\pythonProject1\libs\detector\libs\detector\detector.py", line 17, in
from utils import image_processing, file_processing, debug
File "E:\python_projects\pythonProject1\utils\debug.py", line 13, in
from memory_profiler import profile
ModuleNotFoundError: No module named 'memory_profiler'

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