Releases · lukas-blecher/LaTeX-OCR (original) (raw)
0.0.31
What's Changed
Big change (maybe breaking in your old environment) is moving away from PyQt5 to PyQt6. This will help with installation issues for M1 and M2 based systems.
- Update GUI to PyQt6 (Fix for M1 and M2 OS X) by @JoepdeJong in #236
- feat: add utf-8 support for reading README file by @llxlr in #201
New Contributors
Full Changelog: 0.0.29...0.0.31
0.0.29
0.0.26
What's Changed
Mainly improved training
- add micro batches by @lukas-blecher in #148
- Data parallelism + pure ViT working by @TITC in #150
Full Changelog: 0.0.24...0.0.26
Breaking Changes
models.py moved into new module models.
Model class has forward moved to generate.
0.0.24
0.0.20
What's Changed
- Add Api by @lukas-blecher in #140
The new functionality is built on new dependenciew. They can be installed by using the[api]or[all]tag when installingpix2tex[tag] LaTeX-OCR/datasettoLaTeX-OCR/pix2tex/datasetby @TITC in #123- import problem by @TITC in #125
- preprocessing file missing by @TITC in #135
Breaking Changes
Methods in cli.py initialize and call_model have been moved into a the class LatexOCR.
Full Changelog: 0.0.4...0.0.20
0.0.4
What's Changed
- Add desktop entry script for the GUI by @JCGoran in #34
- 🔨 fix the image resize in pix2tex.call_model by @rainyl in #105
- alpha bug fixes by @TITC in #112
- [Feature] Add a cmdline option to use gnome-screenshot instead of pyqt to capture screenshots by @kxxt in #111
- img has been cut off abnormally by @TITC in #119
- Install via PyPI by @lukas-blecher in #121
New Contributors
- @JCGoran made their first contribution in #34
- @rainyl made their first contribution in #105
- @TITC made their first contribution in #112
- @kxxt made their first contribution in #111
- @frankier made their first contribution in #94
Full Changelog: v0.0.1...0.0.4
No new model checkpoints. See first release.
Weights release
Transitioning the weights from Google Drive to GitHub.
weightscontains the main network weightsimage_resizercontains the weights for the resizing network (optional)
LICENSE
Since the model was trained on arxiv data the weights are released under CC BY-NC-SA.