| title: Canny Edge Detection Pipeline | |
| emoji: 🔍 | |
| colorFrom: gray | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 5.49.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Canny Edge Detection — Step by Step | |
| Upload any image to see all seven stages of the Canny edge detector — grayscale, | |
| Gaussian blur, Sobel gradients (magnitude + direction), non-maximum suppression, | |
| double threshold, and hysteresis. | |
| This Space runs the **NumPy reference implementation**. The full project also | |
| includes a **custom CUDA pipeline (6 kernels) that runs 5–11× faster** than | |
| NumPy on the same workloads, validated to a pixel-for-pixel match (IoU = 1.0000). | |
| Source, benchmarks, and the CUDA implementation: | |
| **https://github.com/AneeshB20/canny-edge-detection-cuda** | |