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Commits on Jul 23, 2021

• adding docker support (airctic#895)

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Commits on Jul 11, 2021

• fixing link to icevision master (airctic#888)

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Commits on Jun 25, 2021

• adding basic bbox inference pipeline (airctic#860)

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Commits on May 17, 2021

• adding SSD in mmdet (airctic#842)

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Commits on May 2, 2021

• adding extra_large yoloV5 backbone (airctic#833)

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Commits on Apr 30, 2021

• yolo negative samples (airctic#830)

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Commits on Apr 28, 2021

• fixing YOLO backgrdound issue (airctic#824)

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Commits on Apr 23, 2021

• fixing autofix bboxes (airctic#817)

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Commits on Apr 18, 2021

• fix get_samples_losses (airctic#803)

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Commits on Apr 15, 2021

• adding iou threshold to yolov5 predict (airctic#790)

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Commits on Apr 11, 2021

• fixing aggregate_records_objects (airctic#762)

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Commits on Apr 10, 2021

• adding a notebook to showcase YOLOv5 (airctic#761)

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Commits on Apr 9, 2021

• add show_batch + fix plot_top_losses + fix predictions (airctic#760)

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• adding yolov5 backbones (airctic#757)

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Commits on Apr 8, 2021

• yolov5 dataloaders (airctic#650)

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Commits on Mar 15, 2021

• fixes plot_top_losses with new API (airctic#682)

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Commits on Mar 2, 2021

• revisited notebook (airctic#659)

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Commits on Feb 26, 2021

• fixing model not being in train mode when calculating losses (airctic#656)

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Commits on Feb 20, 2021

• mmdet plot_top_losses integration (airctic#640)

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Commits on Feb 11, 2021

• adding class_map tests in test_parser (airctic#628)

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Commits on Feb 10, 2021

• fixing fridge dataset link (airctic#636)

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Commits on Feb 8, 2021

• fixing cfg.train/test_cfg in mmdet (airctic#635)

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Commits on Dec 23, 2020

• fixing bug airctic#526 (airctic#596)

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Commits on Dec 20, 2020

• adding plot_top_losses for faster_rcnn (airctic#589)

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Commits on Dec 10, 2020

• updating pre-trained model weights (airctic#584)

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Commits on Nov 28, 2020

• fixing keypoint_rcnn.show_results

  

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• refactoring sum(k)>0 logic in tfms.py

  

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• adding Lightning support

  

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• adding tests

  

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• adding show_results

  

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• fastai adpater

  

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• cutting boxes out of frame (no padding)

  

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• removing keypoints out of frame (no padding)

  

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• adding first keypoint_rcnn model

  

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• refactored tfms augmentations to accomodate keypoints; added keypoints labels; edited faster_rcnn dataloaders to add keypoints

  

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