Corrected the tensor shape in the doc string.
The incoming masks are stacked in dim=0 therefore the doc is wrong
Signed-off-by: Jonas Heinle <jonasheinle@googlemail.com>
* process_mask_native() cleanup
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* fix arg name
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* Remove scale_image
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* update to native
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* fix plot&&speed up
* fix segment save-txt
* fix channel
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When running segmentation predict on gpu, the conversion from tensor to numpy fails. Calling `.cpu()` solves this problem.
Signed-off-by: Paul Guerrie <97041392+paulguerrie@users.noreply.github.com>
Signed-off-by: Paul Guerrie <97041392+paulguerrie@users.noreply.github.com>
* Add segment line predictions
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* Update
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* Fix duplicate plots.py
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* update
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* Unified NMS
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* DetectMultiBackend compatibility
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* enable overlap by default
* Merge detect/segment output_to_target() function
* Start segmentation CI
* fix plots
* Update ci-testing.yml
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* optimize process mask functions (can we merge both?)
* Update predict/detect
* Update plot_images
* Update plot_images_and_masks
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* fix
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* fix masks float float issues
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* fix no-predictions plotting bug
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* Add CSV Logger
* fix val len(plot_masks)
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* optimize utils/segment/general crop()
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* minor updates
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* torch.where revert
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* Major val.py cleanup
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* precommit fix
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* optional pycocotools
* remove CI pip install pycocotools (auto-installed now)
* seg yaml fix
* optimize mask_iou() and masks_iou()
* threaded fix
* Major train.py update
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* Major segments/val/process_batch() update
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* eliminate permutations for process_mask(upsample=True)
* eliminate permute-contiguous in crop(), use native dimension order
* cleanup comment
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* fix anchor order
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* revert faster indexing
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* Loss cleanup and mxyxy simplification 2
* revert validation plotting
* replace missing tanh
* Eliminate last permutation
* delete unneeded .float()
* Remove MaskIOULoss and crop(if HWC)
* Final v6.3 SegmentationModel architecture updates
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* Add support for TF export
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* Update dataloaders.py
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* Add Annotator.masks()
* Annotator.masks() fix
* Update plots.py
* Annotator mask optimization
* Rename crop() to crop_mask()
* Do not crop in predict.py
* crop always
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* Merge master
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* Add segmentation benchmarks
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* Fix CI error
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* Remove segmentation_model definition
* Restore 0.99999 decimals
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Jiacong Fang <zldrobit@126.com>
Jonas Heinle
Glenn Jocher
Laughing
Vladislav Veklenko
Paul Guerrie
Ayush Chaurasia