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Hey, thanks for the nice work!
I was trying to use the TF checkpoint (provided here ).
Steps used:
Create a ./files.txt in which each line is a path to an image to be embedded
Downloaded the checkpoint provided in Releases and put in './checkpoints/
Ran the following command:
python embed.py --experiment_root ./checkpoint/ --dataset ./files.txt --filename test_embeddings.h5
However, the following error comes:
raise IOError('args.json could not be found in: {}'.format(args_file))
OSError: args.json could not be found in: ./checkpoint/args.json
Could you please help on how to use the checkpoint of Market to extract features from images?
The text was updated successfully, but these errors were encountered:
you can find the args file here, we should have put it in the release but I sadly forgot about it when making it. Just paste it into args.json and put it in the experiment root.
Hey, thanks for the nice work!
I was trying to use the TF checkpoint (provided here ).
Steps used:
python embed.py --experiment_root ./checkpoint/ --dataset ./files.txt --filename test_embeddings.h5
However, the following error comes:
Could you please help on how to use the checkpoint of Market to extract features from images?
The text was updated successfully, but these errors were encountered: