hasanirtiza/PedesFormer-Transformer-Networks-For-Pedestrian-Detection
Transformer Networks for Pedestrian Detection
This tool helps researchers in computer vision advance the state-of-the-art in detecting pedestrians in images and video. It takes in existing pedestrian detection datasets, like those used in autonomous driving, and provides trained models and benchmarks for evaluating new transformer-based detection methods. It's intended for researchers focused on improving how artificial intelligence identifies people in visual data.
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Use this if you are a computer vision researcher working on improving pedestrian detection algorithms, particularly with transformer networks, and need a base for benchmarking.
Not ideal if you are a practitioner looking for a ready-to-deploy solution for a specific application like surveillance or self-driving, rather than a research tool.
Stars
43
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
May 29, 2022
Commits (30d)
0
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