Comments (4)
andreapiso
commented on July 23, 2024
I inserted this functionality and fixed a few bugs related to this and set up a model to train on VOC. Do you want a PR?
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RyanMorris95
commented on July 23, 2024
@AndreaPisoni I haven't been able to restore a model checkpoint for training correctly either. Would you mind posting your solution?
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andreapiso
commented on July 23, 2024
@RyanMorris95 do you still need that? I cannot just post the code as I made a lot of changes but I can help... what have you tried so far?
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merryHunter
commented on July 23, 2024
@AndreaPisoni I'd like to get some help on that, how can I contact you?
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Related Issues (20)
- Gpu occupancy rate
- where is base_model_config.py?
- Will random initialization parameters have no precision? HOT 1
- Fine-tune SqueezeDet from sparse labels
- How to do hard negative mining HOT 1
- Publish frozen model? HOT 3
- Problem converting to TFLite HOT 3
- low GPU usage
- 8-bit weights
- Deploying squeezeDet on mobile HOT 3
- How to convert checkpoint of squeezedet to frozen graph for tflite conversion?! HOT 1
- Image resolution problem
- How to run demo.py using train.py checkpoint model HOT 1
- Train with different size and Inference with different size.
- Fine tuning with the model
- Train error and Eval error
- Using negative samples for training.
- print weights per layer during training
- Performance issue in src/eval.py (by P3) HOT 1
- The loss plateaus after 100 Epoch
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