Khang Truong

Some problems

5

Hi, I used your template and I had some problems as follows: 1. In trainer.py, at line 53, the command `met(output, target)` should be changed to `met(output, target).item()`. If we...

Unet: why the program requires a lot of RAM

1

Hello, I am trying to run your source code with the image size 458 x 458 x 3. However, the RAM is required a lot, it is consumed up to...

Different sparse input when each sample input is loaded

3

Hi, I have read your implementation and I have a question about your implementation of sparse depth input generation in NYU dataset. You generated the sparse input when the ground...

#Hi, I have read your paper and I have some question to run the experiment. I hope you can take some time to answer me! :) At each iteration of...

Hello, I tried to read your training code. It looks like you include action data in the `data["observations"]`, doesn't it? Can you please explain to me the meaning here?

About the visualization of Tanks and Temples

3

Hi, thank you for the great work! I have a question about the 3D results for Tanks and Temples. Is your visualization of 8 scenes in your paper with or...

How to produce the pretrained model for unguided network

2

Hi, I have a few questions about your implementation. 1. I saw that you already had a pre-trained model for unguided_network.py. How to re-produce this pretrained model? 2. I didn't...

Hi, I loaded your dataset yelp.p by using cPickle followed by your code: `data = cPickle.load(open('yelp.p', 'wb'))` It raises an error like this: "Value Error: could not convert string to...