{"id":13738502,"url":"https://github.com/oke-aditya/quickvision","last_synced_at":"2025-03-16T18:31:23.820Z","repository":{"id":53110993,"uuid":"310615631","full_name":"oke-aditya/quickvision","owner":"oke-aditya","description":"An Easy To Use PyTorch Computer Vision Library","archived":false,"fork":false,"pushed_at":"2023-07-06T22:21:28.000Z","size":1759,"stargazers_count":51,"open_issues_count":20,"forks_count":4,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-05-19T05:47:43.181Z","etag":null,"topics":["computer-vision","deep-learning","pytorch","pytorch-lightning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/oke-aditya.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":"CODEOWNERS","security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2020-11-06T14:13:47.000Z","updated_at":"2024-01-04T16:52:03.000Z","dependencies_parsed_at":"2024-04-16T22:50:53.297Z","dependency_job_id":"85aa8d01-daaf-4ff5-9dde-cd401e0450ff","html_url":"https://github.com/oke-aditya/quickvision","commit_stats":null,"previous_names":["quick-ai/quickvision"],"tags_count":16,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fquickvision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fquickvision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fquickvision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oke-aditya%2Fquickvision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oke-aditya","download_url":"https://codeload.github.com/oke-aditya/quickvision/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243826788,"owners_count":20354220,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","deep-learning","pytorch","pytorch-lightning"],"created_at":"2024-08-03T03:02:24.243Z","updated_at":"2025-03-16T18:31:23.097Z","avatar_url":"https://github.com/oke-aditya.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Quickvision\n\n- Faster Computer Vision.\n\n\u003cdiv align=\"center\"\u003e\n\n[![GitHub issues](https://img.shields.io/github/issues/Quick-AI/quickvision)](https://github.com/Quick-AI/quickvision/issues)\n[![GitHub forks](https://img.shields.io/github/forks/Quick-AI/quickvision)](https://github.com/Quick-AI/quickvision/network)\n[![GitHub stars](https://img.shields.io/github/stars/Quick-AI/quickvision)](https://github.com/Quick-AI/quickvision/stargazers)\n[![GitHub license](https://img.shields.io/github/license/Quick-AI/quickvision)](https://github.com/Quick-AI/quickvision/blob/master/LICENSE)\n[![codecov](https://codecov.io/gh/Quick-AI/quickvision/branch/master/graph/badge.svg?token=VAFPQTQK1I)](https://codecov.io/gh/Quick-AI/quickvision)\n\n![PEP8](https://github.com/Quick-AI/quickvision/workflows/Check%20Code%20formatting/badge.svg)\n![CI Tests](https://github.com/Quick-AI/quickvision/workflows/CI%20Tests/badge.svg)\n![Docs](https://github.com/Quick-AI/quickvision/workflows/Deploy%20mkdocs/badge.svg)\n![PyPi Release](https://github.com/Quick-AI/quickvision/workflows/PyPi%20Release/badge.svg)\n\n[![Slack](https://img.shields.io/badge/slack-chat-green.svg?logo=slack)](https://join.slack.com/t/quickai/shared_invite/zt-iz7tqk3r-IQa4SoxJGIK5WS8VdZhzeQ)\n[![Downloads](https://pepy.tech/badge/quickvision)](https://pepy.tech/project/quickvision)\n[![Downloads](https://pepy.tech/badge/quickvision/month)](https://pepy.tech/project/quickvision)\n[![Downloads](https://pepy.tech/badge/quickvision/week)](https://pepy.tech/project/quickvision)\n\n\u003c/div\u003e\n\n![demo](/assets/demo.png)\n\n### Install Quickvision\n\n- Install from PyPi.\n- Current stable `release 0.1.1` needs `PyTorch 1.7.1` and `torchvision 0.8.2`.\n\n    ```\n    pip install quickvision\n    ```\n\n## What is Quickvision?\n\n- Quickvision makes Computer Vision tasks much faster and easier with PyTorch.\n\n    It provides: -\n\n    1. Easy to use PyTorch native API, for `fit()`, `train_step()`, `val_step()` of models.\n    2. Easily customizable and configurable models with various backbones.\n    3. A complete PyTorch native interface. All models are `nn.Module`, all the training APIs are optional and not binded to models.\n    4. A lightning API which helps to accelerate training over multiple GPUs, TPUs.\n    5. A datasets API to convert common data formats very easily and quickly to PyTorch formats.\n    6. A minimal package, with very low dependencies.\n\n- Train your models faster. Quickvision has already implemented the long learning in PyTorch.\n\n## Quickvision is just PyTorch!!\n\n- Quickvision does not make you learn a new library. If you know PyTorch, you are good to go!!!\n- Quickvision does not abstract any code from PyTorch, nor implements any custom classes over it.\n- It keeps the data format in `Tensor` so that you don't need to convert it.\n\n### Do you want just a model with some backbone configuration?\n\n- Use model made by us. It's just a `nn.Module` which has Tensors only Input and Output format.\n- Quickvision provides reference scripts too for training it!\n\n### Do you want to train your model but not write lengthy loops?\n\n- Just use our training methods such as `fit()`, `train_step()`, `val_step()`.\n\n### Do you want multi GPU training but worried about model configuration?\n\n- Just subclass the PyTorch Lightning model! \n- Implement the `train_step()`, `val_step()`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foke-aditya%2Fquickvision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foke-aditya%2Fquickvision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foke-aditya%2Fquickvision/lists"}