Skip to main content

A collection of useful tools!

Project description

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 prettytable

# 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'

Docs

首先安装Python文档生成工具Sphinx,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

目录结构如下:

.
├── 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

hello-onnx

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


Release history Release notifications | RSS feed

This version

1.0.2

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hello2-1.0.2.tar.gz (52.9 kB view details)

Uploaded Source

Built Distribution

hello2-1.0.2-py3-none-any.whl (72.6 kB view details)

Uploaded Python 3

File details

Details for the file hello2-1.0.2.tar.gz.

File metadata

  • Download URL: hello2-1.0.2.tar.gz
  • Upload date:
  • Size: 52.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.27.1

File hashes

Hashes for hello2-1.0.2.tar.gz
Algorithm Hash digest
SHA256 31326dd5659dc1add2e784aaf09baba13d08c3bf0ba08eb231af7a51ac70af57
MD5 1c83d1143b6ab67e784aca83b532ec5f
BLAKE2b-256 f57b893c50f48bf040104b5059b402a1a1b051c8534841a767b7d4ecc36eab9e

See more details on using hashes here.

File details

Details for the file hello2-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: hello2-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 72.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.27.1

File hashes

Hashes for hello2-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 881df54c924e304f8e1b418194332c7dd111a7d87475f22851c159263b112e5b
MD5 c5a437ad09795bb8eb7c13e66ded2c18
BLAKE2b-256 fb370f2e974bcefe3ab697cbe082667a2db82b7c1f2d1db05a2b9cf22b345cf3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page