Comments (2)
HI,thanks for your advice and I will merge the TSD configs into a single directory in the next update.
- Fewer GPUs will not degrade the performance and you should modify the training parameters according to the Tips in the readme.
- TSD is firstly implemented in our own framework with SyncBN and in mmdet, we reimplement it with the BN both in baseline and TSD (In order to be consistent with the other algorithms in mmdet). We find the influence of BN is not obvious.
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I see. Thanks for your reply :)
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Related Issues (20)
- Can TSD head be used on top of RetinaNet? HOT 5
- Some questions about TSD_cls and TSD_bbox HOT 9
- Question about how to set finest_scale value? HOT 2
- mmcv version HOT 2
- Why the rcnn score_thr is set 0.00 in all TSD configs?
- Should not overwrite two_stage.py HOT 1
- Spatial sensitive heatmap HOT 4
- DDP problem when migrate TSD to mmdet2.0
- How to illustrate the heatmap thermal diagram? HOT 1
- KeyError: 'TSDSharedFCBBoxHead is not in the head registry' HOT 1
- Missing 'model.CLASSES' field in the pre-trained model for the open images dataset HOT 3
- I transfer the code to mmdetection v2.0, but the result is much worse than general training pipeline. What might be the reason? HOT 3
- RuntimeError: cuda runtime error (11) : invalid argument at mmdet/ops/nms/src/nms_kernel.cu:111
- Open-Images datasets HOT 1
- TypeError "forward() missing 2 required positional arguments: 'feats' and 'rois'" in pytorch2onnx HOT 1
- Question about OpenImages evaluation
- Could you share the training log and evaluation script?
- How to use it with A100 Gpus?
- TypeError: FasterRCNN: __init__() got an unexpected keyword argument 'bbox_roi_extractor' HOT 1
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