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Colab Questions #7
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If you want to output all frames, you should add a FOR-LOOP in Sec.4 of the Colab Notebook. Just like the following: for i, batch_data in enumerate(frames_data):
out = model(batch_data["input_frames"].unsqueeze(0).cuda())
out = out.clamp(0, 1)
# save the output
... You also need to implement saving the output frames. |
Awesome! Thanks so much for your help. So is that what the full text of Sec.4 should look like, or would that snippet be pasted in after a certain line in the existing text. How would one implement the "saving the output frames" aspect of this? Also what would I change if I want to try the ESTRNN model instead of the DBN model? Thanks again! |
I would also like to know how to save the output frames. |
Yep, I will update the notebook with saving the output frames soon! |
Thank you so much for sharing the this!
Forgive me, because I'm not super technical but I was hoping you could walk me through how to use the Colab notebook to test my own image sequence. When I "run all" in Colab it shows a single output comparison jpeg. Does it save the entire deblurred image sequence anywhere? All I can see are the input images when I search the folder structure. How would I deblur and entire image sequence and save the resulting images? Thanks in advance!
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