Comments (1)
Hello,
If you already have a torch data_loader implementation for your data- you can pass it to DatasetInterface (see or documentation).
After that, try and follow the same procedure you see in our walkthrough notebook example or our quickstart example.
Please let us know if you run into any problems.
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Related Issues (20)
- Work with keypoints for recognize some poses HOT 1
- Custom metrics that depends on image_path?
- DetectionRandomAffine target-size is in wrong format HOT 2
- COCO Recipe reporting low precision HOT 1
- ImportError: cannot import name 'utils' from partially initialized module 'super_gradients.training' (most likely due to a circular import HOT 4
- yolo-nas-sat model availability
- AttributeError: 'RegSeg48' object has no attribute 'set_dataset_processing_params' HOT 1
- How to set different weight decay values for different modules of the model
- yolo nas pose demo/colab is broken HOT 1
- How to get edge_links, edge_colors, keypoint_colors when using yolo nas pose onnx?
- Validation metrics = 0.0 during training yolo-nas
- YOLO NAS'S Precision is significantly lower compare to other later YOLO model even when using same dataset ? HOT 4
- BaseSGLogger storage_location parameter is systematically overriden, why?
- Access Joints Coordinate
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- Issue when training and predicting with a custom dataset and the YOLO_NAS_S model HOT 2
- Model training process halted for small dataset HOT 4
- Inquiry About Official Release Date of OBB Detection Models for YOLO-NAS and Training HOT 1
- ONNX Export Output has Incorrect Class Labels but Correct Box and Confidence HOT 1
- Procuring license for commerical application of YOLO - NAS (with pre-trained weights)
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from super-gradients.