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
cell_counting_v2 The repository includes the code for training cell counting applications. (Keras + Tensorflow) Dataset can be downloaded here : http:
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aws-rekognition-facecompare This repository compare a selfie with images from identity documents and response if the selfie match. This code was made
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Temporally Efficient Vision Transformer for Video Instance Segmentation Temporally Efficient Vision Transformer for Video Instance Segmentation (CVPR
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