Body: <p>I'm trying to implement this <a href="http://www.cs.toronto.edu/~urtasun/publications/luo_etal_cvpr18.pdf" rel="nofollow noreferrer">approach</a> for object detection and tracking.</p>
  
  <p>In this approach, the first step is voxelize each frame to construct a 3D tensor, the second step is to append multiple voxels at the time along a new axis to create a 4D tensor. </p>
  
  <p>What I want to understand is how to voxelize multiple frames at the time and append them together.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-07-01T09:00:13.257Z
Comments.Text: Hi and welcome to this community! Your question is currently too broad. Please, specify which details you have not understood and ask _one_ question.
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-07-01T09:01:29.930Z
Comments.Text: @nbro thank you for the clarification but the details are linked and couldn't be put in one question as i want to understand the steps? what do you suggest? thank you
Comments.UserDisplayName: OneManArmy
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-07-01T09:03:19.180Z
Comments.Text: I suggest that you ask a question regarding the first thing in the paper that doesn't allow you to proceed. Once this is clarified, you can ask another question (in another post). If you ask someone to explain to you the paper, then it will require maybe an answer which is longer than the paper, which is of course too much.
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-07-01T10:05:47.563Z
Comments.Text: Agreed with nbro here. The question "Can anyone be kind enough to walk me through it" is a problem. It is too much work for most volunteers to write a tutorial for a whole system implementation, and not at all clear which details you need help with. Ask about the first step where you struggle, and give details in the question. Use [edit] to add them
Comments.UserDisplayName: Neil Slater
Tags: <deep-learning><convolutional-neural-networks><python><tensorflow><object-detection>
Title: How to voxelize multiple frames at the time and append them together?
UserDisplayName: OneManArmy
ThreadText: # How to voxelize multiple frames at the time and append them together?
  
  (Asked by: username_0 on 2019-07-01)
  
  I'm trying to implement this [approach](http://www.cs.toronto.edu/~urtasun/publications/luo_etal_cvpr18.pdf) for object detection and tracking.
  
  In this approach, the first step is voxelize each frame to construct a 3D tensor, the second step is to append multiple voxels at the time along a new axis to create a 4D tensor.
  
  What I want to understand is how to voxelize multiple frames at the time and append them together.
  
  **Tags:** deep-learning, convolutional-neural-networks, python, tensorflow, object-detection
  
  > **Comments:**
  > **username_1**: Hi and welcome to this community! Your question is currently too broad. Please, specify which details you have not understood and ask _one_ question.  
  > **username_0**: @username_1 thank you for the clarification but the details are linked and couldn't be put in one question as i want to understand the steps? what do you suggest? thank you  
  > **username_1**: I suggest that you ask a question regarding the first thing in the paper that doesn't allow you to proceed. Once this is clarified, you can ask another question (in another post). If you ask someone to explain to you the paper, then it will require maybe an answer which is longer than the paper, which is of course too much.  
  > **username_2**: Agreed with username_1 here. The question "Can anyone be kind enough to walk me through it" is a problem. It is too much work for most volunteers to write a tutorial for a whole system implementation, and not at all clear which details you need help with. Ask about the first step where you struggle, and give details in the question. Use [edit] to add them  
  
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  ## 0 answers
  
  