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Using pre-trained model to inference , the results is strange #36
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Please share the test data with me. I'll check it for you later. |
thank you |
I tested the case with the BSD image sequence as input. There is no problem. The issue may be on your side. Regarding the video, it seems that the actual number of frames does not match the number read by cv2. Anyway, I've updated the code that extracts frames from the video to avoid this. |
The list of dependencies of my current env (generated by pipreqs) is as follows for your reference: lmdb==1.3.0 |
Thank you,the problem is solved. |
I choose 15 pictures from BSD dataset to test
I use the comman:
python inference.py --src ./blur/ --dst ./results/ --ckpt ./checkpoints/ESTRNN_C80B15_BSD_2ms16ms.tar
the result is so strange
I prepare a video to test
Use the comman:
python inference.py --src 1.mp4 --dst ./results/2/ --ckpt ./checkpoints/ESTRNN_C80B15_BSD_2ms16ms.tar
there is an error:
Anything I did wrong?
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