hello2 0.2.8

A collection of useful tools!

Hello

A collection of useful tools!

Publish

hello2 · PyPI

# 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==0.16.5
pip install fiftyone[desktop]==0.16.5
## $ conda list | grep voxel
## voxel51-eta               0.7.1                    pypi_0    pypi
## $ conda list | grep fiftyone
## fiftyone                  0.16.5                   pypi_0    pypi
## fiftyone-brain            0.8.2                    pypi_0    pypi
## fiftyone-db               0.3.0                    pypi_0    pypi

# 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-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