Comments (4)
sanghoon
commented on July 26, 2024
Hi @beihangzxm123 ,
I'm not sure how big your dataset is,
but if it's not that big I recommend you do ...
- start from the up-to-date PVANet detection model (VOC2007, VOC2012 or compressed)
(there used to be a bug in the example prototxts) - train the model for longer iterations (we've trained the models for more than 1M iterations)
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runningJ
commented on July 26, 2024
hi @beihangzxm123
Are you resolve the problem?
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MyVanitar
commented on July 26, 2024
I have almost the similar questions here #63 Please have a look
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pasxalinamed
commented on July 26, 2024
I have trained a model on my own data. How can I compress the output caffemodel? Is compression something that should have taken place during training?
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Related Issues (20)
- PVANET with Deformable Convolution
- Initialization fails in GPU
- What is the parameter` dets_NMS` and `dets_all` in box voting function??
- caffe loss=0, after relabeling and debugging for a million of times
- docker 运行
- train.yml
- end-2-end训练，还是two step 交替训练呢？
- where is the PVANET model code?
- Scale and BN on training
- How to calculate detection speed?
- generated prototxt and caffemodel ?
- error
- About the detection time HOT 1
- What is the train details on ImageNet2012? HOT 7
- Check failed: error == cudaSuccess (2 vs. 0) out of memory *** Check failure stack trace: *** HOT 2
- How to achieve 30 fps as referenced in paper?
- why the "box_deltas" does't rescale to the raw images space int the test phase
- The data and label should have the same first dimension. HOT 1
- Attributeerror:'model' object has no attribute 'text_format' HOT 1
- keep = np.where((ws >= min_size) & (hs >= min_size))[0];Check failed: error == cudaSuccess (9 vs. 0) invalid configuration argument HOT 2
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