Image-Super-Resolution-via-Iterative-Refinement
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lmdb.Error: dataset/ffhq_16_128: No such file or directory
I want to train the model using my own data but every time I run the model it says the same thing with all configs. by the way, I created a file called ffhq_16_128 in the dataset folder as there was none. this is the command I use: !python3 sr.py -p train -c config/sr_sr3_16_128.json however, when I run the command: !python3 sr.py -p train -c config/sr_sr3_64_512.json it works fine. how to train the model please using different data. I use google colab.
I even changed the details of config/sr_sr3_64_512 to match config/sr_sr3_16_128 but kept the same path and changed the images in both folders "celebahq_64_512" and "ffhq_64_512" and I got the same issue.
I also encountered the same problem. Have you resolved the file path issue?