Python Code Restructuring for Deepfake Detection
Budget: $30 – $250 USD
I am working on a Python project that utilizes Convolutional Neural Networks for deepfake detection. I have already set up the code to process and prepare video files from FaceForensics++, as well as to train the CNNs (Resnet50 and EfficientNetV2B0). However, most of this code has been generated by AI and it requires restructuring to enhance code readability and ensure it does not appear AI generated.
Key Areas of Focus:
- Data Processing: The code handling data processing needs the most improvement.
- Code Readability: The primary goal is to enhance the readability of the code. The current code is not easily understandable and requires simplification and clarification.
-The output needs to have the same or similar results as what is listed in the CNN Charts Word Doc.
Coding Guidelines:
- All improvements should adhere to Google's Python style guide.
- The code will need to be configured so any APIs or DLLs will run automatically so that the code can be reproducible by anyone.
Ideal Skills:
- Expertise in Python and deep learning frameworks.
- Proficiency in restructuring and improving code readability.
- Familiarity with Google's Python style guide.
- Experience in working with CNNs and deepfake detection projects.
Key Areas of Focus:
- Data Processing: The code handling data processing needs the most improvement.
- Code Readability: The primary goal is to enhance the readability of the code. The current code is not easily understandable and requires simplification and clarification.
-The output needs to have the same or similar results as what is listed in the CNN Charts Word Doc.
Coding Guidelines:
- All improvements should adhere to Google's Python style guide.
- The code will need to be configured so any APIs or DLLs will run automatically so that the code can be reproducible by anyone.
Ideal Skills:
- Expertise in Python and deep learning frameworks.
- Proficiency in restructuring and improving code readability.
- Familiarity with Google's Python style guide.
- Experience in working with CNNs and deepfake detection projects.