| Name | hello2 JSON |
| Version |
2.0.16
JSON |
| download |
| home_page | None |
| Summary | A collection of useful tools! |
| upload_time | 2024-03-23 06:29:24 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.6 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Hello
A collection of useful tools!
## Publish
[hello2 · PyPI](https://pypi.org/project/hello2/)
```sh
# https://github.com/pypa/flit
flit publish
```
## Installation
```sh
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'
```
## Environment
```sh
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
```
## Requirements
```sh
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install opencv-python Pillow scikit-image scikit-learn simplejson onnx prettytable pycocotools
# 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 --upgrade fiftyone
pip install fiftyone>=0.21.0
# 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
```
## Docs
首先安装Python文档生成工具[Sphinx](https://www.sphinx-doc.org/en/master/)，安装指令为`pip install -U sphinx`。
PDF文档依赖：`apt-get update && apt-get install texlive-full`。
PDF文档依赖：`apt-get install texlive-latex-recommended texlive-fonts-recommended texlive-latex-extra`。
PDF文档依赖：`apt-get install texlive-xetex texlive-fonts-recommended texlive-plain-generic`。
- `cd docs`进入文档目录
- `sphinx-quickstart`初始化
- `docs/source/conf.py`完善配置
- `sphinx-apidoc -o source -f -e ..`生成API文档
- `make html/make help`生成文档
- `make clean`清空文档目录
在项目根目录执行时，需要修改文档输出路径及模块路径：
```
sphinx-apidoc -o docs/source -f -e .
```
目录结构如下：
```textile
.
├── Makefile
├── build # 存放`make html`生成的文档的目录
├── make.bat
└── source # 存放用于生成文档的源文件
├── _static
├── _templates
├── conf.py # 配置文件
└── index.rst
```
## Usage
### hello-data
- `hello-data coco2yolo -h`
- COCO format to YOLOv5
### hello-fiftyone
- For examples: [hello/fiftyone/examples/](https://github.com/flystarhe/hello/blob/main/hello/fiftyone/examples)
### hello-onnx
- For examples: [hello/onnx/examples/](https://github.com/flystarhe/hello/tree/main/hello/onnx/examples)
### hello-video
- `hello-video clip -h`
- `hello-video fisheye -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
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"description": "# Hello\nA collection of useful tools!\n\n## Publish\n[hello2 \u00b7 PyPI](https://pypi.org/project/hello2/)\n```sh\n# https://github.com/pypa/flit\nflit publish\n```\n\n## Installation\n```sh\npip install -U hello2\npip install -U hello2 -i https://pypi.org/simple\npip install -U hello2 -i https://pypi.tuna.tsinghua.edu.cn/simple\npip install -U 'git+https://github.com/flystarhe/hello'\n```\n\n## Environment\n```sh\nconda info -e\nconda create -y -n myenv python=3.9\nconda activate myenv\n\n# pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple\npip install notebook\n\nconda deactivate\nconda remove -y -n myenv --all\nconda info -e\n```\n\n## Requirements\n```sh\npip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple\npip install opencv-python Pillow scikit-image scikit-learn simplejson onnx prettytable pycocotools\n\n# FFmpeg\napt install -y ffmpeg\nconda install -c pytorch ffmpeg\nconda install -c conda-forge ffmpeg\n\n# OpenCV\npip uninstall -y opencv-python-headless\npip install opencv-python --ignore-installed\n\n# fiftyone\npip install --upgrade fiftyone\npip install fiftyone>=0.21.0\n\n# pyomniunwarp\npip install -U pyomniunwarp>=0.2.4\n\n# onnxruntime (optional)\npip install onnx onnx-simplifier onnxruntime # CPU\npip install onnx onnx-simplifier onnxruntime-gpu # GPU\n\n# PyTorch 1.10.2 (optional)\npip install torch==1.10.2+cu113 torchvision==0.11.3+cu113 -f https://download.pytorch.org/whl/torch_stable.html\n\n# PyTorch 1.12.1 (optional)\npip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113\n```\n\n## Docs\n\u9996\u5148\u5b89\u88c5Python\u6587\u6863\u751f\u6210\u5de5\u5177[Sphinx](https://www.sphinx-doc.org/en/master/)\uff0c\u5b89\u88c5\u6307\u4ee4\u4e3a`pip install -U sphinx`\u3002\n\nPDF\u6587\u6863\u4f9d\u8d56\uff1a`apt-get update && apt-get install texlive-full`\u3002\nPDF\u6587\u6863\u4f9d\u8d56\uff1a`apt-get install texlive-latex-recommended texlive-fonts-recommended texlive-latex-extra`\u3002\nPDF\u6587\u6863\u4f9d\u8d56\uff1a`apt-get install texlive-xetex texlive-fonts-recommended texlive-plain-generic`\u3002\n\n- `cd docs`\u8fdb\u5165\u6587\u6863\u76ee\u5f55\n- `sphinx-quickstart`\u521d\u59cb\u5316\n- `docs/source/conf.py`\u5b8c\u5584\u914d\u7f6e\n- `sphinx-apidoc -o source -f -e ..`\u751f\u6210API\u6587\u6863\n- `make html/make help`\u751f\u6210\u6587\u6863\n- `make clean`\u6e05\u7a7a\u6587\u6863\u76ee\u5f55\n\n\u5728\u9879\u76ee\u6839\u76ee\u5f55\u6267\u884c\u65f6\uff0c\u9700\u8981\u4fee\u6539\u6587\u6863\u8f93\u51fa\u8def\u5f84\u53ca\u6a21\u5757\u8def\u5f84\uff1a\n```\nsphinx-apidoc -o docs/source -f -e .\n```\n\n\u76ee\u5f55\u7ed3\u6784\u5982\u4e0b\uff1a\n```textile\n.\n\u251c\u2500\u2500 Makefile\n\u251c\u2500\u2500 build # \u5b58\u653e`make html`\u751f\u6210\u7684\u6587\u6863\u7684\u76ee\u5f55\n\u251c\u2500\u2500 make.bat\n\u2514\u2500\u2500 source # \u5b58\u653e\u7528\u4e8e\u751f\u6210\u6587\u6863\u7684\u6e90\u6587\u4ef6\n \u251c\u2500\u2500 _static\n \u251c\u2500\u2500 _templates\n \u251c\u2500\u2500 conf.py # \u914d\u7f6e\u6587\u4ef6\n \u2514\u2500\u2500 index.rst\n```\n\n## Usage\n\n### hello-data\n- `hello-data coco2yolo -h`\n - COCO format to YOLOv5\n\n### hello-fiftyone\n- For examples: [hello/fiftyone/examples/](https://github.com/flystarhe/hello/blob/main/hello/fiftyone/examples)\n\n### hello-onnx\n- For examples: [hello/onnx/examples/](https://github.com/flystarhe/hello/tree/main/hello/onnx/examples)\n\n### hello-video\n- `hello-video clip -h`\n- `hello-video fisheye -h`\n- `hello-video info -h`\n- `hello-video resize -h`\n- `hello-video unwarp -h`\n\n### hello-x3m\n- `hello-x3m preprocess -h`\n - \u4e3aX3M\u91cf\u5316\u6b65\u9aa4\u751f\u6210\u6821\u51c6\u6570\u636e\n- `hello-x3m config -h`\n - \u4e3aX3M\u7f16\u8bd1\u6b65\u9aa4\u751f\u6210\u914d\u7f6e\u6587\u4ef6\n",
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