Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc) : X86_64 GPU Machine
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) : YOLOv3
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here):
training_config.txt (2.0 KB)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
Transfer learning is not working as expected,
Steps followed:
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Dataset: The PASCAL Visual Object Classes Challenge 2012 (VOC2012)
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Trained with model(refer traininig_config file attached) {classes: bike,bottle,car,cycle,dog,person}
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Inferencing is happening and predicting the above classes.
-----Transfer learning----- -
Again trained the model only with custom microcontroller datasets.
training_config.txt (2.3 KB) -
Model is predicting the newly trained microcontrollers but not predicting the previously trained weights {car,dog,bike etc…}
Question:
- Is there any steps i need to follow for transfer learning?(model should predict already trained classes along with newly added classes)
- Any configuration i need to update to retain/load pretarined weights?