Comments (2)
Taking the project to an organized directory structure can help developers use this model and write relevant APIs. Kudos to the amazing project. Accuracy is not bad too
Hey,
This repo popped up on my feed, and I'm potentially looking to contribute. I haven't done so before, but what you're bringing up sounds simple enough to where I could do it. What do you mean by directory structure? Is it putting all the code in the notebook into a single executable or Python file? Maybe putting the dataset into a repo file as well?
from fakeimagedetector.
Taking the project to an organized directory structure can help developers use this model and write relevant APIs. Kudos to the amazing project. Accuracy is not bad too
Hey,
This repo popped up on my feed, and I'm potentially looking to contribute. I haven't done so before, but what you're bringing up sounds simple enough to where I could do it. What do you mean by directory structure? Is it putting all the code in the notebook into a single executable or Python file? Maybe putting the dataset into a repo file as well?
I think he means a directory structure that can make the project easily imported in python. So, it's more about python file.
from fakeimagedetector.
Related Issues (15)
- How to get the datasets? HOT 22
- File not found error
- dataset HOT 4
- dataset HOT 1
- DataSet Issue HOT 2
- Motivation of using CNN HOT 2
- using the dataset HOT 6
- regarding dataset HOT 13
- Execution HOT 4
- how to download the dataset?
- Where can i get dataset HOT 1
- Error while converting images into ELA images HOT 1
- pre-trained model HOT 1
- Could you share the dataset? HOT 1
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