[WIP] Multitask Training With mmdet and yolov5 Models#856
Draft
rsomani95 wants to merge 122 commits intoairctic:masterfrom
Draft
[WIP] Multitask Training With mmdet and yolov5 Models#856rsomani95 wants to merge 122 commits intoairctic:masterfrom
mmdet and yolov5 Models#856rsomani95 wants to merge 122 commits intoairctic:masterfrom
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mmdet Modelsmmdet Models
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## master #856 +/- ##
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- Coverage 87.60% 72.40% -15.21%
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Files 231 259 +28
Lines 4899 6066 +1167
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+ Hits 4292 4392 +100
- Misses 607 1674 +1067
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mmdet Modelsmmdet and yolov5 Models
minor cleanup
Contributor
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I think we shall close this one. |
Contributor
Author
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@FraPochetti @ai-fast-track converting this to a draft for now. Hope to get back to it soon! |
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This PR is the culmination of a long ongoing dicussion centered around multitask training on the icevision Discord forums. See this channel for more info.
This PR brings together a few things:
Common
ImageClassificationHead- A flexible single layer classification head that can work with either traditional classification models (where features are pooled) or FPN outputs in a flexible wayHybridSingleStageDetector- Anmmdet -> SingleStageDetectorextension that allows for classification with an arbitrary number ofImageClassificationHeadheadsHybridAugmentationsRecordDataset- A dataset that allows for different augmentations for specific tasks. In practice, the model will do multiple forward passes for groups of tasks, followed by a collective backward pass. Useful when augmentations for a particular task destroy information for a different taskExDarkdatasetMMDet - Single Stage
RetinaNetandFCOSout of the boxdataloaders for single image datasetsdataloaders for multi image augmentation datasetstrain_dl,valid_dldataloader wrapperspredictioncodeRetinaNetloaderFCOSloaderUltralytics - YOLO
dataloaders for single image datasetsdataloaders for multi image augmentation datasetstrain_dl,valid_dldataloader wrapperspredictioncode