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      Internship #167749 To develop the code, to train the model in pytorch, for instance if we take edge detection as the feature extraction, then you need to add this edge detection as data augmentation technique in tranform =[] list
    #167749
    SANKALP PRAJAPATI (sankalp_prajapati)
    2024-06-20 21:34
    2024-06-10 15:57
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    To develop the code, to train the model in pytorch, for instance if we take edge detection as the feature extraction, then you need to add this edge detection as data augmentation technique in tranform =[] list
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    2024-06-11
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    2024-06-20
    SANKALP PRAJAPATI (sankalp_prajapati)
    Saurabh Kumar Pandey (saurabh)
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    Finally corrected model which is combination of Shallow CNN and resnet50
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    Used pretrained models viz resnet50 and vgg16 to test the dataset. Modified code to save the output as images and results to be later used to display result. Finally combined Shallow CNN features along with some features of resnet50 to create a combined model.


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    1-Trained a model on pytorch based on edge detection as augmentation technique. Trained on a sample of 80 dataset(40 spoof + 40 real). Saved their pth files and predicted a set of images. Refining this model by adding more feature extraction methods.