A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frames to reduce the bit rate along with the minimization of distortions in decoded frames. We implement a neural network version of conventional video compression approach and encode the redundant frames with lower number of bit.
Thank for reminding us about the issue. A newly pushed version has the utils as a package, which hopefully will solve your problem. Please pull the latest version and try running.
prasangadhungel
commented
3 years ago
Traceback (most recent call last): File "test.py", line 2, in
from utils.network import VideoCompressor
ImportError: No module named utils.network