Single Image Random Dot Stereogram for Tensorflow
SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type of plot with no hidden lines due to perspective. Data is encoded to show data in the Z direction as depth.
This project is based upon: https://www.cs.waikato.ac.nz/~ihw/papers/94-HWT-SI-IHW-SIRDS-paper.pdf
Ratio Image Based Rendering for Deep Single-Image Portrait Relighting [Project Page] This is part of the Deep Portrait Relighting project. If you find
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Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. Now with tensorflow 1.0 support. Evaluation usa
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Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
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