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| title: ERA S12 | |
| emoji: 🌖 | |
| colorFrom: green | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 3.39.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| -> We trained CIFAR10 dataset using Custom ResNet model by using pytorch lightning. | |
| -> requirements.txt file contains necessary packages to install. | |
| -> custom_resnet.py file contains model architecture. | |
| -> model_pth.ckpt contains trained model checkpoints (weights). | |
| -> 10 example images like cat_1.jpg, cat_2.jpg,.. | |
| --> app.py contains gradio code. By using gradio here implemented by selecting input images or examples output display the gradcam image and prediction and top k classes. I tried with multiple gradcam and misclassified i am getting errors. | |