·
1 commit
to main
since this release
Code license changed to MIT License.
New features
Classes and functions
Rotate90: New transform to rotate image by 90 degrees.Trainer: Option for validating on loss value.
Tools
infer.py: New optional cmd argument to rotate image before inference.
Minor Fixes
- Change UAV dataset hosting (now in ULiège Open Data Repository)
- It is now possible to resume a training session when a validation frequency > 1 is used.
- Solving the problem of continuously increasing training time over epochs.
Commits
Alexandre-Delplanque (19):
- 0fb5a68 - Merge branch 'feature' into main
- 506e1e1 - chore: update CHANGELOG.md
- c101dca - fix: update code version
- 031cc1a - chore: minor change
- 4a2c68a - fix: update code version
- b424c5b - Merge pull request #3 from Alexandre-Delplanque/new-license
- ce16958 - chore: update CHANGELOG.md
- d2b9078 - chore: final licence changes
- f063a82 - chore: switch to MIT License
- d6b3ffb - fix: change how images are rotated
- c67404b - feat: add Rotate90 transform
- 39e317a - fix: increasing training time over epochs
- 4baeab1 - fix: resume training when using valid_freq
- d86ec37 - fix: new link for UAV dataset #2
- 53dd60a - fix: weights to device when not None (_ssim_loss)
- b082fc4 - feat: rotation option for infer.py tool
- c0bfc31 - fix: only CSV's images when -all arg is False
- addbc9b - Merge branch 'feature' of https://github.com/Alexandre-Delplanque/Herd-Net into feature
- d480319 - feat: option for evaluation with loss in Trainer