Open noobtoob4lyfe opened 2 years ago
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!