final_results folder contains our X-Y images and results as tottally 3 images in sample1 and sample 2 subfolders.
Model folder contain the old models that we have written and used.
proposal_images contains the images that we have obtained for progress proposal which are also used in report.
cv_harris_corner_detection.ipynb is our example code as how Harris Corner detection works.
demo.pt Demo weights as tensor.
DEMO.ipynb The demo that we have done during presentation. If you wants to the demo, please be careful in terms of file locations. Use final_resuls folder.
evaluate_images.py Our evaluation code.
loss.py our loss.
main_project.ipynb and main_project.py are our main envoriment that we run and make the training.
practival_run.py A basic code that no need manuel set-up during training for time consuming.
simplenet.py is our model.
One can download all datasets Set5, Set14, Urban100, BSD100 from => https://github.com/jbhuang0604/SelfExSR