A collection of useful tools!
Project description
Hello
A collection of useful tools!
Publish
# https://github.com/pypa/flit
flit publish
Environment
conda info -e
conda create -y -n myenv python=3.9
conda activate myenv
# pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install notebook
conda deactivate
conda remove -y -n myenv --all
conda info -e
Installation
# requirements.txt
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install opencv-python Pillow scikit-image scikit-learn simplejson onnx
# FFmpeg
apt install -y ffmpeg
conda install -c pytorch ffmpeg
conda install -c conda-forge ffmpeg
# OpenCV
pip uninstall -y opencv-python-headless
pip install opencv-python --ignore-installed
# fiftyone
pip install fiftyone>=0.17.2
pip install fiftyone[desktop]>=0.17.2
## $ conda list | grep voxel
## $ conda list | grep fiftyone
# pyomniunwarp
pip install -U pyomniunwarp>=0.2.4
# onnxruntime (optional)
pip install onnx onnx-simplifier onnxruntime # CPU
pip install onnx onnx-simplifier onnxruntime-gpu # GPU
# PyTorch 1.10.2 (optional)
pip install torch==1.10.2+cu113 torchvision==0.11.3+cu113 -f https://download.pytorch.org/whl/torch_stable.html
# PyTorch 1.12.1 (optional)
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113
# hello
pip install -U hello2
pip install -U hello2 -i https://pypi.org/simple
pip install -U hello2 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install -U 'git+https://github.com/flystarhe/hello'
Usage
hello-data
hello-data coco2yolo -h
- COCO format to YOLOv5
hello-fiftyone
- For examples: hello/fiftyone/examples/
hello-onnx
- For examples: hello/onnx/examples/
hello-video
hello-video clip -h
hello-video frames -h
hello-video info -h
hello-video resize -h
hello-video unwarp -h
hello-x3m
hello-x3m preprocess -h
- 为X3M量化步骤生成校准数据
hello-x3m config -h
- 为X3M编译步骤生成配置文件
Project details
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