Takashi Shirakawa's repositories

AIS_Training_Codeset

Python code to train neural network models with your original dataset for semantic segmentation. This codeset also includes a converter to create macOS Core ML models from trained Keras models for A.I.Segmentation.

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OpenCV_in_macOS

Sample code of OpenCV library in macOS GUI apps with ‘opencv2.framework’ of version 4.3.0 for an Xcode project.

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benchmark_TensorFlow_macOS

Python code to benchmark TensorFlow for macOS

AISegmentation_v141

The public source code of A.I.Segmentation (AIS) version 1.4.1. AIS is a plugin of OsiriX for macOS enables semantic segmentation of medical images using artificial intelligence (Core ML framework) in macOS.

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cv_net

A neural network for image segmentation of cardiovascular anatomies. MOVED to AIS Training Codeset, Jan 3, 2020.

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CoreML-Custom-Layers

Source code for the blog post "Custom Layers in Core ML"

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keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

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keras-surgeon

Pruning and other network surgery for trained Keras models.

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