NVIDIA/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
This toolkit helps engineers and researchers quickly and accurately detect objects within images and video streams. You input images or video with corresponding object annotations, and it outputs trained models that can identify objects, including their precise location and orientation, with high performance. It's designed for professionals working with computer vision applications.
900 stars. No commits in the last 6 months.
Use this if you need a high-performance solution for identifying and localizing objects in visual data, especially for real-time applications or large datasets.
Not ideal if you do not have access to NVIDIA GPUs or if your object detection needs are not performance-critical.
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900
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268
Language
Python
License
BSD-3-Clause
Category
Last pushed
Sep 29, 2021
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