I am working on the resnet-18 model on PyTorch. I have separate data in a folder. I want to load the dataset but I tried many options and failed. Can anyone provide some link or code where I can load separate data in PyTorch for further analysis?
Hi @Nehhar,
there is a chapter in Deep Learning for Coders that might be perfect for your plans: chapter 14 ResNet. ResNet-18 and ResNet-50 are built from scratch.
Cheers
Hello @JackByte. I tried all the steps. I am trying some images that I had taken while photography. Now how should I load the image in the dataset format or in a CSV file to execute further steps?
This is the error that I am getting :
All the images that I have here are in ‘jpg’ format
Hi @Nehhar,
you could choose what is more convenient for your
a) Create a folder “train” another folder “valid”, then add one folder with the class name for each class under each of them. Then you could use ImageDataLoaders.from_folder
e.g.
[Path(’/home/yizhang/.fastai/data/mnist_tiny/valid/7/9413.png’),
Path(’/home/yizhang/.fastai/data/mnist_tiny/train/7/9263.png’),
Path(’/home/yizhang/.fastai/data/mnist_tiny/valid/7/7565.png’)]
b) Create a csv with the columns “filename”, “class”, and “is_valid” and use ImageDataLoaders.from_csv
c) … Have a look at the other ImageDataLoaders.
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Thank you for the solution
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Thanks for the information. I’ll be sure to keep an eye on this thread. Looking for the same issue.
Hello,
This topic has been solved so it’s not necessary to answer. If you have other questions you can ask.
so I’m going to ask @Kovacek separately for help.
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Thank You