Update torch to 2.4.0 and torchvision to 0.19.0

Add OOD Detector logic and artifacts

✨ Add WhatsApp, Instagram, and LinkedIn buttons

✨ Add Social Share buttons to results

Prevent duplicate image uploads

Add image saving logic secure

Update Google Analytics config for iframes

Fix Dockerfile and dependencies

Fix libGL error by installing system libraries

🚀 Switch to opencv-python-headless (No system packages needed)

Add packages.txt to fix libGL crash

🔧 Add packages.txt to fix libGL error

🔧 Add full system dependencies for OpenCV

🔧 Add system dependencies (libGL) for OpenCV

Fix requirements typo: separate pyyaml and scikit-learn

🔧 Add scikit-learn and matplotlib to requirements

🚀 Update UI with LFS for images and models

Fix: pin numpy<2.0 to stop HF runtime crash

🔥 Fix NumPy compatibility + processor padding

Cleanup: remove leftover MyInference.py to avoid import conflicts

🐛 Fix: switch to CPU PyTorch for HF Spaces

Fix: properly lowercase inference.py for Hugging Face

Temp rename inference file

🚀 Update: new UI design, classification plot, and attention improvements

Auto image size, working attention map

Fix DINOv2 processor and update requirements

Add id2name.json for class mapping

Fix num_labels=101 for Dinov2 checkpoint

Use facebook/dinov2-large processor instead of custom model repo

Add transformers deps and show classification run button

Add run button for classification tool

Fix Docker CMD and UI run button

Fix repo_id to Arew99/dinov2-costum for model loading

Fix Dockerfile to copy full app directory

Move Dockerfile to root for Hugging Face deployment

Update requirements for Hugging Face build

Track logo with Git LFS

Switch to loading model from Hugging Face Hub

Load model from Hugging Face Hub instead of local file

Remove local model weights for upload

Remove local model weights for upload

Initial commit for NEMO tools FastAPI Space

initial commit