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Release 1.0.0 #1427

Merged
merged 192 commits into from
Jan 10, 2025
Merged

Release 1.0.0 #1427

merged 192 commits into from
Jan 10, 2025

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myhloli
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@myhloli myhloli commented Jan 6, 2025

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

Please describe the motivation of this PR and the goal you want to achieve through this PR.

Modification

Please briefly describe what modification is made in this PR.

BC-breaking (Optional)

Does the modification introduce changes that break the backward compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here and update the documentation.

Checklist

Before PR:

  • Pre-commit or other linting tools are used to fix the potential lint issues.
  • Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
  • The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  • The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects.
  • CLA has been signed and all committers have signed the CLA in this PR.

xu rui and others added 30 commits December 11, 2024 16:56
- Add initial setup for layout detection
- Implement conditional cropping for tall images
- Skip cropping for wide images to improve performance
- Reuse Image object across layout detection steps
perf(layout): optimize layout detection for PDF extraction
feat: add batch prediction methods for YOLOv8 and Unimernet models
myhloli and others added 28 commits January 9, 2025 22:58
- Improve language detection by removing newline characters from the input text
- Add error handling and fallback mechanism to deal with text containing control characters
fix(language): enhance language detection and text processing
fix(language): enhance language detection and text processing
Reordered sections related to inference acceleration using CUDA and CANN to provide a clearer structure in both English and Chinese README files.
docs: reorganize inference acceleration sections in README
docs: reorganize inference acceleration sections in README
- Update the bug report template to include version 1.0.x
- Add 'npu' as a new option for hardware backend
fix: update issue template for version1.0.x and add npu option
- Update fast-langdetect from 0.2.0 to >=0.2.3,<0.3.0
- Specify version for rapid_table: ==0.3.0
build(docker): update dependencies across all docker images
build(docker): update dependencies across all docker images
- Update homepage link to point to https://mineru.org.cn/home
- Add client download link for users to easily access the app- Change globe icon to home icon for homepage
- Update homepage link to point to https://mineru.org.cn/home
- Add client download link for users to easily access the app- Change globe icon to home icon for homepage
feat(header): update homepage link and add client download link
feat(header): update homepage link and add client download link
- Correct the release date for version 1.0.0 in both English and Chinese README files
- Ensure consistency across documentation for the official release
fix(docs): update pip install command in README files
- Add MPS support for Apple Silicon devices
- Implement empty_cache() for MPS devices
- Set PYTORCH_ENABLE_MPS_FALLBACK environment variable
- Adjust MFR model device allocation for MPS
fix(device): enable MPS support and fix related issues
- Added information about MPS acceleration support for Apple silicon chips- Updated README files to include MPS-related content and configuration instructions
- Improved language and formatting consistency across both English and Chinese README files
- Simplify and clarify the description of MinerU Desktop
- Make the language more inviting and straightforward for users
feat(README): add MPS acceleration support for Apple silicon
@myhloli myhloli merged commit 4bb5439 into master Jan 10, 2025
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5 participants