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.
OpenCV_in_macOS
Sample code of OpenCV library in macOS GUI apps with ‘opencv2.framework’ of version 4.3.0 for an Xcode project.
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.
CoreML-Custom-Layers
Source code for the blog post "Custom Layers in Core ML"
keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
keras-surgeon
Pruning and other network surgery for trained Keras models.