[Python知识库]Yolov5环境配置(ultralytics版本)

Yolov5环境配置(ultralytics版本)

官方主要要求：
Python>=3.6.0 is required with all requirements.txt installed
including PyTorch>=1.7

1. 创建一个python>=3.6.0的虚拟环境 conda create -n yolov5 python=3.7

2. 手动下载torch和torchvision，先pip install torch的whl 在 pip install torchvision 的whl
   例如：先 pip install torch-1.7.0+cu101-cp37-cp37m-win_amd64.whl
   再 pip install torchvision-0.8.1+cu101-cp37-cp37m-win_amd64.whl

3. 最后 pip install -r requirements.txt
   (注：如果有需要pycocotools的，最好先安装cython，否则可能会报错)

附： torch和torchvision的下载链接
torch和torchvision版本对应参考链接
yolov5 ultralytics版本链接
requirements.txt如下

# pip install -r requirements.txt

# base ----------------------------------------
matplotlib>=3.2.2
numpy>=1.18.5
opencv-python>=4.1.2
Pillow
PyYAML>=5.3.1
scipy>=1.4.1
torch>=1.7.0
torchvision>=0.8.1
tqdm>=4.41.0

# logging -------------------------------------
tensorboard>=2.4.1
# wandb

# plotting ------------------------------------
seaborn>=0.11.0
pandas

# export --------------------------------------
# coremltools>=4.1
# onnx>=1.9.0
# scikit-learn==0.19.2  # for coreml quantization

# extras --------------------------------------
# Cython  # for pycocotools https://github.com/cocodataset/cocoapi/issues/172
# pycocotools>=2.0  # COCO mAP
# albumentations>=1.0.3
thop  # FLOPs computation