anuragsahu / 3d-point-cloud-object-reconstruction-from-monoclar-rgb-image Goto Github PK

Hi, thank you very much for your work. It's so great. However, while downloading the model weights for testing, I found that the link is dead. Could you please provide a new link, if it is convenient for you. Thank you very much.

Create the Presentation and Final Report for the project.

This Might take a while but it should be done within 5 Days, the mini tasks to be accomplished are

1. Get the Training Code (#2)
2. Select the Classes (Approx 10) to train the data on
3. Get the Respective Dateset from the Shape-net
4. Train the Network and report the .log file
5. Also get the Training Loss Curve and Validation Loss Curve

The code for Two Prediction Branch Version needs to be Uploaded by Today, the following files are expected to be Uploaded:

• trainTwoBranch.py
• twoBranchReconstruct.py
• All other files to should also be uploaded from vanilla version.
  • viz.py
  • tf_nndistance_so.so
  • BatchFetcher.py

Some boubts needs to be leared about the Random Vector Described in the Paper?

• What is the use of Random Vector?
• Where is the Random Vector comming from?
• What is the size of the random vector?