GitHub / avs-abhishek123 / Detectron2
Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when making the step from research to production.
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PURL: pkg:github/avs-abhishek123/Detectron2
Stars: 8
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 42.3 MB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: about 2 years ago
Pushed at: over 2 years ago
Last synced at: 8 months ago
Topics: caffe2, computer-vision, deep-learning, detectron, detectron2, detectron2-google-colab, detectron2-inference, facebook, faster-rcnn, fasterrcnn, fastrcnn, object-detection, python, python3, pytorch, rcnn, research