wdoppenberg/ellipse-rcnn
A PyTorch implementation of Ellipse R-CNN
This tool helps scientists and researchers automatically find and outline elliptical features in images, such as craters on planetary surfaces or faces in photographs. You provide an image, and it outputs the image with detected elliptical objects highlighted. This is ideal for anyone needing to efficiently identify and quantify round or oval shapes within visual data.
No commits in the last 6 months.
Use this if you need to precisely detect and segment elliptical objects in satellite imagery or other datasets where features appear as ellipses.
Not ideal if your detection task involves irregularly shaped objects or if you require an off-the-shelf solution for proprietary crater datasets.
Stars
46
Forks
15
Language
Python
License
MIT
Category
Last pushed
Jan 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wdoppenberg/ellipse-rcnn"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
broadinstitute/keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
alankbi/detecto
Build fully-functioning computer vision models with PyTorch
sovit-123/fasterrcnn-pytorch-training-pipeline
PyTorch Faster R-CNN Object Detection on Custom Dataset
kenshohara/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
lufficc/SSD
High quality, fast, modular reference implementation of SSD in PyTorch