# Usage: pip install -r requirements.txt
# Base ----------------------------------------
matplotlib>=3.2.2
numpy>=1.18.5
opencv-python>=4.1.1
Pillow>=7.1.2
PyYAML>=5.3.1
requests>=2.23.0
scipy>=1.4.1
torch>=1.7.0,!=1.12.0
torchvision>=0.8.1,!=0.13.0
tqdm>=4.41.0
protobuf<4.21.3
# Logging -------------------------------------
tensorboard>=2.4.1
# wandb
# Plotting ------------------------------------
pandas>=1.1.4
seaborn>=0.11.0
# Extras --------------------------------------
ipython # interactive notebook
psutil # system utilization
thop # FLOPs computation
基于YOLOv7实现姿势估计（源码+视频+说明文档）.rar （35个子文件） 
基于YOLOv7实现姿势估计（源码+视频+说明文档） utils 
__init__.py 6B google_utils.py 5KB loss.py 75KB metrics.py 9KB autoanchor.py 7KB general.py 37KB wandb_logging __init__.py 6B log_dataset.py 839B wandb_utils.py 16KB activations.py 2KB plots.py 21KB datasets.py 56KB __pycache__ plots.cpython-36.pyc 18KB general.cpython-36.pyc 27KB datasets.cpython-36.pyc 40KB torch_utils.cpython-36.pyc 13KB google_utils.cpython-36.pyc 3KB __init__.cpython-36.pyc 171B loss.cpython-36.pyc 41KB autoanchor.cpython-36.pyc 6KB metrics.cpython-36.pyc 8KB torch_utils.py 15KB add_nms.py 6KB 说明文档.md 3KB
requirements.txt 572B models __init__.py 6B common.py 84KB experimental.py 10KB __pycache__ experimental.cpython-36.pyc 10KB yolo.cpython-36.pyc 27KB common.cpython-36.pyc 75KB __init__.cpython-36.pyc 172B yolo.py 36KB
football1.mp4 3.44MB pose-estimate.py 6KB资源评论
