Revision 0535d452dd426ba62d6d312766906ddd1230c7eb authored by Andrey Zhavoronkov on 02 November 2023, 15:59:39 UTC, committed by GitHub on 02 November 2023, 15:59:39 UTC
This PR speeds up the preparation of chunks by: 1. loading images once instead of twice in each writer, 2. as well as by allowing simultaneous preparation of more than 1 chunk using multithreading. This allows to reduce the time for preparation of chunks for 4895 images from 0:04:36 to 0:01:20 in case of preparation of 3 chunks in parallel and 0:02:46 in case of 1 chunk in my environment. Co-authored-by: Maria Khrustaleva <maya17grd@gmail.com>
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README.md
# Module CVAT-CORE
## Description
This CVAT module is a client-side JavaScript library for management of objects, frames, logs, etc.
It contains the core logic of the Computer Vision Annotation Tool.
## Versioning
If you make changes in this package, please do following:
- After not important changes (typos, backward compatible bug fixes, refactoring) do: `yarn version --patch`
- After changing API (backward compatible new features) do: `yarn version --minor`
- After changing API (changes that break backward compatibility) do: `yarn version --major`
### Commands
- Dependencies installation
```bash
yarn ci --frozen-lockfile
```
- Building the module from sources in the `dist` directory:
```bash
yarn run build
yarn run build --mode=development # without a minification
```
- Running of tests:
```bash
yarn run test
```
- Updating of a module version:
```bash
yarn version --patch # updated after minor fixes
yarn version --minor # updated after major changes which don't affect API compatibility with previous versions
yarn version --major # updated after major changes which affect API compatibility with previous versions
```
Visual studio code configurations:
- cvat.js debug starts debugging with entrypoint api.js
- cvat.js test builds library and runs entrypoint tests.js
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