lihaoliu-cambridge/scotch-and-soda
[CVPR'23] Code for "SCOTCH and SODA: A Transformer Video Shadow Detection Framework".
This project helps computer vision researchers and developers identify and segment shadows in video footage. It takes raw video data as input and produces pixel-level masks that precisely outline shadow regions. This is useful for anyone working on video analysis tasks where shadows might interfere with object detection or scene understanding.
No commits in the last 6 months.
Use this if you need to accurately detect and remove shadows from video frames as part of a larger computer vision pipeline or research project.
Not ideal if you are looking for an out-of-the-box application for end-users rather than a research framework requiring technical setup and expertise.
Stars
21
Forks
8
Language
Python
License
—
Category
Last pushed
Nov 05, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/lihaoliu-cambridge/scotch-and-soda"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
isl-org/Open3D
Open3D: A Modern Library for 3D Data Processing
cvg/Hierarchical-Localization
Visual localization made easy with hloc
gmberton/CosPlace
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
Vincentqyw/image-matching-webui
🤗 image matching webui
cvg/glue-factory
Training library for local feature detection and matching