CluonCV provides an implementation of state-of-the-art (SOTA) deep learning models in computer vision.
It is designed for engineers, researchers and students to quickly prototype products and research ideas based on these models.
The toolkit provides four main functions:
-Training script for reproducing SOTA results reported in research papers
-Supports a large number of pre-trained models for PyTorch and MXNet
-Carefully designed API greatly reduces implementation complexity
-Community support
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