tonysy/DRN-MXNet
Dense Relation Network: Learning Consistent and Context-Aware Representation For Semantic Image Segmentation. Modification of DRN source code
This project helps computer vision engineers develop and test advanced image segmentation models. It takes raw image datasets, like those for urban scenes, and outputs a trained model capable of precisely identifying and delineating different objects within an image. It's intended for specialists working on computer vision applications, particularly those focused on environmental perception or autonomous systems.
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Use this if you are a computer vision engineer needing to train or experiment with a Dense Relation Network (DRN) for semantic image segmentation using the MXNet framework.
Not ideal if you need a pre-trained, production-ready model for immediate deployment, as this project focuses on enabling training and experimentation.
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Python
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Last pushed
Aug 16, 2018
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