| CVNets is a computer vision toolkit that allows researchers and engineers to train standard and mobile/non-mobile computer vision models for a variety of tasks, including object classification, object detection, semantic segmentation, and foundational models (e.g., CLIP). It is recommended to use Python 3.8+ and PyTorch (version >= v1.12.0) for installation. The following instructions use Conda. If Conda is not installed, you can check how to install Conda. # Clone the repo git clone git@github.com:apple/ml-cvnets.git cd ml-cvnets # Create a virtual env. We use Conda conda … |
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