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Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

Results 40 FCRN-DepthPrediction issues
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Will you show your code for training in Tensorflow version? It is hard to train on the dataset. Thank U!

I cannot find the code that is used to train your model, will you be making it available soon please? I would like to experiment with different data sets. :)

Hello, it is a great work. But I just test your predicted map provided by yourself and cannot get same error like your paper, I test it with matlab. your...

bug

After using the predict.py codes provided, I was able to obtain test images, however, there were black boxes on each side of the images as shown below. I was wondering...

Hi, I check the NYU_FCRN.ckpt model you provide for us. The NYU_FCRN.ckpt.data-00000-of-00001 save parameters is 245.5MB. However, I train FCRN and save the model, it took 508.5MB. I don't know...

I am working on a project that require real time RGB-D data and i was thinking about using this work to generate the depth map of a live stream to...

Hello, I am trying to build my own network in TF, based on your results. I know for sure that I built the correct model because I am able to...

Could you tell me which optimizer did you use, and about learning rate ? Also how can I evalute the model?

The depth map predicted by both matconvnet and tensorflow weights are coming very blur. Please help.

Hi, @iro-cp I have test your result on nyu_label dataset (use test 654 images, tf-model is provided by you) , http://horatio.cs.nyu.edu/mit/silberman/nyu_depth_v2/nyu_depth_v2_labeled.mat ![image](https://user-images.githubusercontent.com/9390228/34712594-47db0c34-f55e-11e7-819c-d4b682609b57.png) There is my error calculate method, (a1 corresponding...