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@sanghoon hi,sorry to bother u,but I have some problem when I finetune my own data.My task is to detect the whale in the image.when I use the full/test.model and models/pvanet/example_finetune/solver.…
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Hi@sanghoon：
I can train and test my own net with my own data by the models/example_train_384.Now I want to run the demo.py, but it has the error like this:
Traceback (most recent call last):
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Hi,
Thank you for your good repository.
How can I run the codes under windows, does these windows distribution of Caffe works?
https://github.com/BVLC/caffe/tree/windows
I can train the SSD…
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I am trying to finetune pvanet on my data using solver under example_finetune. However I get the following error.
I1201 22:09:59.937469 32013 net.cpp:270] This network produces output rpn_cls_loss
I…
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I managed to retrain your approach with my own dataset and it performance quit well! However, the runtime/inference speed seems to be slower than compared with several other approaches (EAST e.g.) - e…
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when i change softmaxwithloss to focal-loss, in the beginning of training, the loss becomes 87.3365.
When using softmaxwithloss, there is no such a problem.
Is the code still under the testing pha…
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Hello
I have strange results when trying to visualize training process:
[fast_rcnn/train.py](https://github.com/dereyly/pva-faster-rcnn/blob/master/lib/fast_rcnn/train.py)
```
rois = net.blobs['rois'…
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Hi, this is not a code issue but I was curious if you have mAP numbers on COCO. The paper only has pascal VOC results.
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Hi @sanghoon
Is the pva9.1 faster than zf-faster-rcnn? If faster,how much.
Is the pva9.1 faster than the version of pva9.1 compression? If faster,how much.