v.0.3.0 Major improvements in dark and blurry issue types, scoring for duplicate issues
Improvement in blurry check
Improved the blurry check logic to produce lesser false positives and catch blurry images which were left unidentified earlier in the dataset.
Here are some examples of images that were falsely identified as blurry previously
Here are some examples of blurry images that were discovered after improvement
Improvement in dark check
Images that were previously falsely identified as dark
Scoring for near and exact duplicate issue types
Introduced scores for near and exact duplicate checks. The score of an image is inversely proportional to the number of images identified as its duplicate. Here's an example of what the scores look like. Here top 3 images are exact duplicates of each other and so on.
Changelog
- Adds test for update_df from utils by @Kadam-Tushar in #165
- Incremented version by @sanjanag in #164
- Added worfklow for automatic release by @sanjanag in #162
- make package pep561 compatible. by @wirthual in #170
- Added save load functionality by @sanjanag in #168
- Minor updates by @sanjanag in #177
- Added flake8 to pre-commit hooks by @manulpatel in #180
- Fixed missing mypy stub error by @sanjanag in #186
- Updated readthedocs config and requirements by @sanjanag in #187
- Updated threshold for dark issue by @sanjanag in #179
- Added score for duplicate images by @sanjanag in #183
- Blurry by @sanjanag in #185
- Updated minor version by @sanjanag in #188
- Changed import for Imagelab by @sanjanag in #182
New Contributors
- @wirthual made their first contribution in #170
- @manulpatel made their first contribution in #180
Full Changelog: v0.2.1...v0.3.0
