Some pre-commit hooks for OpenMMLab projects

Overview

pre-commit-hooks

Some pre-commit hooks for OpenMMLab projects.

Using pre-commit-hooks with pre-commit

Add this to your .pre-commit-config.yaml

-   repo: https://github.com/open-mmlab/pre-commit-hooks
    rev: v0.1.0  # Use the ref you want to point at
    hooks:
    -   id: check-algo-readme
    -   id: check-copyright
        args: ["dir_to_check"]  # replace the dir_to_check with your expected directory to check

Hooks available

say-hello

A template to show how to implement a pre-commit hook

check-algo-readme

Check whether the abstract and icon exist in the algorithm readme.

  • --debug - print details of abstract and icon in dict format.
  • --dry-run - just dry run, igonre failed use case.
  • --model-index ${MODEL_INDEX} - custom model-index file path.

check-copyright

Check whether the code contains copyright

  • includes - directory to add copyright.
  • --excludes - exclude directory.
  • --suffixes - copyright will be added to files with suffix.
You might also like...
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation

FIRA is a learning-based commit message generation approach, which first represents code changes via fine-grained graphs and then learns to generate commit messages automatically.

List of all dependencies affected by node-ipc malicious commit
List of all dependencies affected by node-ipc malicious commit

node-ipc-dependencies-list List of all dependencies affected by node-ipc malicious commit as of 17/3/2022 - 19/3/2022 (timestamp) Please improve upon

Checkout some cool self-projects you can try your hands on to curb your boredom this December!

SoC-Winter Checkout some cool self-projects you can try your hands on to curb your boredom this December! These are short projects that you can do you

PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).
PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).

Transformer-PyTorch A PyTorch implementation of the Transformer from the paper Attention is All You Need in both Post-LN (Post-LayerNorm) and Pre-LN (

Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts

t5-japanese Codes to pre-train T5 (Text-to-Text Transfer Transformer) models pre-trained on Japanese web texts. The following is a list of models that

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte

A list of multi-task learning papers and projects.

This page contains a list of papers on multi-task learning for computer vision. Please create a pull request if you wish to add anything. If you are interested, consider reading our recent survey paper.

A list of multi-task learning papers and projects.

A list of multi-task learning papers and projects.

Comments
  • [Feature] Add remove_eol_characters hook

    [Feature] Add remove_eol_characters hook

    This PR adds a new script/pre-commit-hook, named remove-improper-eol-in-cn-docs.

    The script aims at resolving extra whitespaces in Chinese docs, which is a long-standing HTML issue as discussed here.

    To solve the issue, this script finds and removes end_of_line characters which split natural Chinese paragraphs. For example,

    这是一个, 像诗一样的 测试

    will be changed to

    这是一个,像诗一样的测试

    However, the following cases stay unchanged:

    • Docs written in English

    This is, a poem-like test

    • Natural paragraphs (split by 2+ eol characters in Markdown)

    这是一个

    测试

    opened by C1rN09 2
  • Add an option to allow files can not be found

    Add an option to allow files can not be found

    Modify .pre-commit-config.yaml with the following config to test this hook.

      - repo: https://github.com/zhouzaida/pre-commit-hooks-1
        rev: 8dd4395  # Use the ref you want to point at
        hooks:
        -   id: check-copyright
            args: ["dir_to_check", "not-found-dir", "--ignore-file-not-found-error"] 
    
    opened by zhouzaida 0
  • Upgrade the version of isort

    Upgrade the version of isort

    Motivation

    https://github.com/open-mmlab/mmflow/pull/87

    Upgrade the version of isort.

    Modification

    • Remove seed-isort-config in pre-commit hook
    • Upgrade isort to v5.10.1 (latest version)
    • Replace known_standard_library with extra_standard_library
    opened by zhouzaida 0
  • [Feature] Support checking model-index.yml

    [Feature] Support checking model-index.yml

    Modify .pre-commit-config.yaml with the following config to test this hook.

      - repo: https://github.com/zhouzaida/pre-commit-hooks-1
        rev: 0672dd0  # Use the ref you want to point at
        hooks:
          - id: check-model-index
            args: ["model-index.yml"]  # replace the dir_to_check with your expected directory to check
            additional_dependencies:
              - cerberus
    

    In addition, since YAML does not support tuple type, the resolution field in a metafile is recognized as a string, so fix this type to be a list. You can use the following regular expression global replacement in vs code

    • resolution: \(([0-9]*), ([0-9]*)\)
    • resolution: [$1, $2]

    image

    opened by zhouzaida 0
Releases(v0.4.0)
Owner
OpenMMLab
OpenMMLab
A minimalist tool to display a network graph.

A tool to get a minimalist view of any architecture This tool has only be tested with the models included in this repo. Therefore, I can't guarantee t

Thibault Castells 1 Feb 11, 2022
A colab notebook for training Stylegan2-ada on colab, transfer learning onto your own dataset.

Stylegan2-Ada-Google-Colab-Starter-Notebook A no thrills colab notebook for training Stylegan2-ada on colab. transfer learning onto your own dataset h

Harnick Khera 66 Dec 16, 2022
A New Approach to Overgenerating and Scoring Abstractive Summaries

We provide the source code for the paper "A New Approach to Overgenerating and Scoring Abstractive Summaries" accepted at NAACL'21. If you find the code useful, please cite the following paper.

Kaiqiang Song 4 Apr 03, 2022
Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)

Learning-Action-Completeness-from-Points Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal A

Pilhyeon Lee 67 Jan 03, 2023
✂️ EyeLipCropper is a Python tool to crop eyes and mouth ROIs of the given video.

EyeLipCropper EyeLipCropper is a Python tool to crop eyes and mouth ROIs of the given video. The whole process consists of three parts: frame extracti

Zi-Han Liu 9 Oct 25, 2022
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Adversarial Learning for Semi-supervised Semantic Segmentation This repo is the pytorch implementation of the following paper: Adversarial Learning fo

Wayne Hung 464 Dec 19, 2022
A basic duplicate image detection service using perceptual image hash functions and nearest neighbor search, implemented using faiss, fastapi, and imagehash

Duplicate Image Detection Getting Started Install dependencies pip install -r requirements.txt Run service python main.py Testing Test with pytest How

Matthew Podolak 21 Nov 11, 2022
Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh

generate_cloud_points Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh. Run python disp_mesh.py Or you

Peng Yu 2 Dec 24, 2021
OpenL3: Open-source deep audio and image embeddings

OpenL3 OpenL3 is an open-source Python library for computing deep audio and image embeddings. Please refer to the documentation for detailed instructi

Music and Audio Research Laboratory - NYU 326 Jan 02, 2023
Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

SmallPebble Project status: experimental, unstable. SmallPebble is a minimal/toy automatic differentiation/deep learning library written from scratch

Sidney Radcliffe 92 Dec 30, 2022
Repo 4 basic seminar §How to make human machine readable"

WORK IN PROGRESS... Notebooks from the Seminar: Human Machine Readable WS21/22 Introduction into programming Georg Trogemann, Christian Heck, Mattis

experimental-informatics 3 May 29, 2022
Fiddle is a Python-first configuration library particularly well suited to ML applications.

Fiddle Fiddle is a Python-first configuration library particularly well suited to ML applications. Fiddle enables deep configurability of parameters i

Google 227 Dec 26, 2022
Implementation of "Deep Implicit Templates for 3D Shape Representation"

Deep Implicit Templates for 3D Shape Representation Zerong Zheng, Tao Yu, Qionghai Dai, Yebin Liu. arXiv 2020. This repository is an implementation fo

Zerong Zheng 144 Dec 07, 2022
Official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space

NeuralFusion This is the official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space. We provide code to train the proposed pipel

53 Jan 01, 2023
This is a vision-based 3d model manipulation and control UI

Manipulation of 3D Models Using Hand Gesture This program allows user to manipulation 3D models (.obj format) with their hands. The project support bo

Cortic Technology Corp. 43 Oct 23, 2022
git《Self-Attention Attribution: Interpreting Information Interactions Inside Transformer》(AAAI 2021) GitHub:

Self-Attention Attribution This repository contains the implementation for AAAI-2021 paper Self-Attention Attribution: Interpreting Information Intera

60 Dec 29, 2022
This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

Learning Invariant Representation for Unsupervised Image Restoration (CVPR 2020) Introduction This is an implementation for the paper "Learning Invari

GarField 88 Nov 07, 2022
Use .csv files to record, play and evaluate motion capture data.

Purpose These scripts allow you to record mocap data to, and play from .csv files. This approach facilitates parsing of body movement data in statisti

21 Dec 12, 2022
[ECCVW2020] Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DiMP)

Feel free to visit my homepage Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DIMP) [ECCVW2020 paper] Presentation

Seokeon Choi 35 Oct 26, 2022
For storing the complete exploration of Visual Question Answering for our B.Tech Project

Multi-Image vqa @authors: Akhilesh, Janhavi, Harsh Paper summary, Ideas tried and their corresponding results: on wiki Other discussions: on discussio

Harsh Raj 3 Jun 16, 2022