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Sorry, it is about the code itself, not for building error report. But I didn't find any forums to discuss flownet for the researcher. So I have to post it here.
In the file `tools/convert_imageset…
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When training the theano-flownet, I observed that using the original code causes exploding gradients. However, after setting _flip_filters_ option in leaky_deconv() and upsample() layer to _False_, th…
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Hi, when I downloaded the project and built it,“error: 'RandomGeneratorparameter' does not name a type" was found. How do I solve it?
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I run the demo with my own images (size: 1080x1920). Then some problems are encounted
```
Traceback (most recent call last):
File "demo.py", line 30, in pred_flow = flownet2(ims_v).cpu().data
…
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I am getting this error. I said protobuf is both too old and too new. I am not sure what the error is.
[log.txt](https://github.com/lmb-freiburg/flownet2/files/1468447/log.txt)
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I want to use flowNet 2.0 for training a two stream model for action detection (spatio-temporal localization), I want to achieve real time performance, I have 2 questions:
1. Which network do you r…
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Hi Simon,
I'm training your network with other datasets and it takes around 1h20min for each 5000 iterations, is that normal?
GTX 1080, CUDA 9.0, TensorFlow 1.7, Cudnn 7005, python 3.5, anaconda3.…
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Hi Simon, I got another question about the random affine augmentation during training. The code snippet is [here](https://github.com/simonmeister/UnFlow/blob/master/src/e2eflow/core/unsupervised.py#L4…
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It seems that you only consider the data[0] and target[0] in the loop of the forward computation:
**line #260 to line #265** in main.py
```
optimizer.zero_grad() if not is_validate else None
…
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In the original flownet implementation there is batch normalization after every conv layer. In the`FloatNetC.py`, I don't find any `batch_norm` layer. Any specific reason?