What's Changed Version 0.16.2 by @phborba in https://github.com/phborba/pytorch_segmentation_models_trainer/pull/87 Bug fix on ModPolyMapper when choosing not to evaluate while training. Added the option of freezing some parts of ModPolyMapper. Full Changelog: https://github.com/phborba/pytorch_segmentation_models_trainer/compare/v0.16.1...v.0.16.
Bug fixes when inputs are RGBA images; Bug fixes on frame field model with models other than U-Net; ...
Framework to train semantic segmentation models on Pytorch using yaml config file
Dataset conversion added. It is possible to convert between some formats of dataset; Tversky Loss an...
What's Changed Version 0.16.2 by @phborba in https://github.com/phborba/pytorch_segmentation_models...
What's Changed bug fix by @phborba in https://github.com/phborba/pytorch_segmentation_models_traine...
New Mod PolyMapper model; Matching methods added; Evaluation methods added; What's Changed Merge p...
What's Changed Version 0.16.2 by @phborba in https://github.com/phborba/pytorch_segmentation_models...
New evaluation metrics; New evaluation on test set; New inference service with image upload; Bug fix...
New Naive Mod PolyMapper model (Object Detection + PolygonRNN); New Naive Mod Polymapper dataset; Ne...
Bug fixes on mask building; Bug fixes on detection model training. New mode on build masks
New custom callbacks: ImageSegmentationResultCallback: Callback that logs the results of the traini...
Bug fix on loss sync; Custom models from Frame Field implementation (to compare training results); N...
Minor improvements and bug fixes on polygon building inference; Bug fixes on mask builder; Performan...
Vector IOU; Polis metric added; IoU added to PolygonRNN training loop; Object detection visualizatio...
Bug fix on convert dataset; Bug fix on PolygonRNNDataset; Bug fix on PolygonRNNResultCallback when u...
Bug fixes when inputs are RGBA images; Bug fixes on frame field model with models other than U-Net; ...
Framework to train semantic segmentation models on Pytorch using yaml config file
Dataset conversion added. It is possible to convert between some formats of dataset; Tversky Loss an...
What's Changed Version 0.16.2 by @phborba in https://github.com/phborba/pytorch_segmentation_models...
What's Changed bug fix by @phborba in https://github.com/phborba/pytorch_segmentation_models_traine...
New Mod PolyMapper model; Matching methods added; Evaluation methods added; What's Changed Merge p...
What's Changed Version 0.16.2 by @phborba in https://github.com/phborba/pytorch_segmentation_models...
New evaluation metrics; New evaluation on test set; New inference service with image upload; Bug fix...
New Naive Mod PolyMapper model (Object Detection + PolygonRNN); New Naive Mod Polymapper dataset; Ne...
Bug fixes on mask building; Bug fixes on detection model training. New mode on build masks
New custom callbacks: ImageSegmentationResultCallback: Callback that logs the results of the traini...
Bug fix on loss sync; Custom models from Frame Field implementation (to compare training results); N...
Minor improvements and bug fixes on polygon building inference; Bug fixes on mask builder; Performan...
Vector IOU; Polis metric added; IoU added to PolygonRNN training loop; Object detection visualizatio...
Bug fix on convert dataset; Bug fix on PolygonRNNDataset; Bug fix on PolygonRNNResultCallback when u...
Bug fixes when inputs are RGBA images; Bug fixes on frame field model with models other than U-Net; ...
Framework to train semantic segmentation models on Pytorch using yaml config file
Dataset conversion added. It is possible to convert between some formats of dataset; Tversky Loss an...
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