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RuntimeError: Found 0 images in subfolders of: data/ClothingAttributeDataset/train/ #2
Description
Hy! I'm trying to learn machine learning, and from this how to extract from a photo different attributes. I looked through your project, trying to figure out how you do it, but when i'm running it i got this message error RuntimeError: Found 0 images in subfolders of: data/ClothingAttributeDataset/train/, even if i created the folder data/ClothingAttributeDataset/train/, and put images into. can you please tell me, what i'm doing wrong, or what i missed? Thank you :).
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sahnefreak commentedon Mar 26, 2018
Hey! I have the same issue. Do you have any solution yet? Best regards! :)
tlsgb456 commentedon Apr 5, 2018
@pisicutza21 @sahnefreak
I think we should download 'Clothing Attributes Dataset' on this webpage.
https://purl.stanford.edu/tb980qz1002
pisicutza21 commentedon Apr 10, 2018
@tlsgb456 @sahnefreak Did it worked with the dataset from that webpage or you did some changes? Can you please tell me how much ram do you have? I'm asking because i have this error "RuntimeError: $ Torch: not enough memory: you tried to allocate 7GB. Buy new RAM! at /opt/conda/conda-bld/pytorch_1523244252089/work/torch/lib/TH/THGeneral.c:253", i don't know how to fixed it. Thnx :)
tlsgb456 commentedon Apr 10, 2018
@pisicutza21 If you lack the VRAM, you can use small batch size such as 16, 8, 4, 2, 1 because that default batch size is 32.
pisicutza21 commentedon Apr 10, 2018
@tlsgb456 you are right, thanks for the answers. I changed batch size to 4, i have 1,9 Gb ram free. It's been four hours since i compiled build_models, and the last thing shown is valid Epoch 0/49, it looks like it is blocked. how much time did you need to train the models for the 50 epochs?
tlsgb456 commentedon Apr 11, 2018
@pisicutza21 I use TITAN X, so I can use 32 batch size. 50 epoch train take ... um... approximately 30 min? If you using smaller batch size, you may take more time than my case.
sagarnildass commentedon Oct 5, 2020
The documentation is poor here. Here are the steps to get a good result:
First download the ClothingAttributeDatasetand put it in the data folder.
In the ml_src folder, run the data-prep.ipynb. Don't spilt train test by hand.
In the ml_src/weights folder, create a folder called vgg16-fcn-266-2
Run python ml_src/build_models.py from outside the ml_src folder.