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๐ŸŒ™ Extreme Low-Light Image Processing Pipeline

License: GNU Affero General Public License v3.0

Python 2.42% C++ 3.60% C 0.42% Makefile 0.08% Shell 0.01% Jupyter Notebook 93.46% SWIG 0.01%
computer-vision deep-learning night-vision reconstruction thermal-imaging

dark-sight's People

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arvinth-s avatar harshitcodex avatar sudharsan2000 avatar syzygianinfern0 avatar

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dark-sight's Issues

Discarding images with no object

The method we currently use is not working. We currently flatten the image and sample random channel from random pixel. We discard if the percentage of sample whose value is less than threshold1 is greater than threshold2.
img

Repeated pattern in output

The model is learning but the cross pattern still exists. It's severe when the image is completely dark
image.
This maybe related to another problem. The pixel value of one of the three channels in output image is also one and for another it's always 0.

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