yaorong0921
yaorong0921
@jihwan722 , please use a 3x3 conv layer with stride 3 to shrink the input size from 112x176 to 37x59 first. Code about classifier is not included in main_outside.py.
Dear @johook, could you get 37x59 first after the 3x3 conv layer with the stride of 3? Do you mean that you could not get the dimension given in Table...
Dear @jihwan722 , When fusing, the inside and outside videos are given into two different networks, which might take different numbers of frames. As given in Section IV-B (outside video),...
Hi hivabhagat, to combine the features from inside and outside videos is actually straight-forward. I first saved the features from two video streams beforehand to save some computation time, and...
> could you provide codes for getting the accuracy and outside video or code to run the model on a demo video? It would really help me out. I would...
@xueblue . yes, you are right.
Hi, I am currently working on this issue. I want to implement channel multiplexing module into the communication between the host and the target (nexys4ddr) using uart backend. Main idea...
Hi @imphil Sure, let's set as 0xC001
Hi @johook, Sorry for the late reply. I have been on trips over the past few weeks. 1. When training the combination, I extracted the features from two branches with...
Hi there, please try the link again. For training with the videos inside and outside: To reduce computational overhead, I presaved the features from two video streams and utilized multiple...