A newer version of the Gradio SDK is available:
6.6.0
metadata
title: PyTorch Lightning
emoji: 🚀
colorFrom: blue
colorTo: blue
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
Demo with Gradio Iterface for visualizing the GradCAM images of CIFAR10 Dataset using Custom Resnet trained on Pytorch Lightning
Two Demos are created using tabbedinterface
Demo 1 - Inference and GradCAM images
Input
1.Whether he/she wants to see GradCAM images
2.How many images and from which layer
3.Customize the opacity level of the images displayed
4.How many top classes are to be shown (max 10)
Output
Specified GradCAM images displayed with top predicted classes
Demo 2 - Misclassified Images
Input
How many misclassified images the user wants to visualize (max 10)
Output
Specified number of misclassified images are displayed with actual and predicted classes