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Nowadays the crime rates all over the globe are increasing at an alarming rate and for that measures are being taken but not quite so good. We witness these criminals are let loose everyday just because the evidence isn’t enough or isn’t strong enough to be held in the court of law. One of the major issues in gathering evidence for such heinous …
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__pycache__
architecture
input_images
val_images
val_predict
README.md
ResNetSR 2X.h5
advanced.py
b.mp4
final.py
img_utils.py
new_models.py
output.avi
output2.avi
output3.avi
sr_gui_browse.py
tests.py
videoplayback.mp4

README.md

video-super-resolution

Frame by frame super resolution of low quality video to high quality video If you wish to train the network on your own data set, follow these steps (Performance may vary) : [1] Save all of your input images of any size in the "input_images" folder [2] Run img_utils.py function, transform_images(input_path, scale_factor). By default, input_path is "input_images" path. [3] Execute ftests.py to begin training. GPU is recommended, although if small number of images are provided then GPU may not be required.

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