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'

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

Download files

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

Source Distribution

hello2-0.3.17.tar.gz (44.2 kB view details)

Uploaded Source

Built Distribution

hello2-0.3.17-py3-none-any.whl (67.5 kB view details)

Uploaded Python 3

File details

Details for the file hello2-0.3.17.tar.gz.

File metadata

  • Download URL: hello2-0.3.17.tar.gz
  • Upload date:
  • Size: 44.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.27.1

File hashes

Hashes for hello2-0.3.17.tar.gz
Algorithm Hash digest
SHA256 22e5f429199ce8394c6db653f5b971ba137ef82197157be1e32c4afd8b9613d8
MD5 f3f866175e5838729b7085676a836e91
BLAKE2b-256 0d8049e418e0a5f2d8091c75e7d92c640767177050df1a7a461005295d40adb7

See more details on using hashes here.

File details

Details for the file hello2-0.3.17-py3-none-any.whl.

File metadata

  • Download URL: hello2-0.3.17-py3-none-any.whl
  • Upload date:
  • Size: 67.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.27.1

File hashes

Hashes for hello2-0.3.17-py3-none-any.whl
Algorithm Hash digest
SHA256 784d52c343ee81b74974a1bac6c3dc1c7b40938f7056e097299705979dba350c
MD5 2251502bef1d127adaad0084360234fb
BLAKE2b-256 d52cb03aec8d743d7a6a8c8adfddf91520fbe307a3098e50a48cc591301653a8

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