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Demos

READY demo aplication (ready.py) is running in a local host LaptopGPU with NVIDIARTXA2000-8GB using local-built holoscan-sdk. UNet was trained in cricket with A100-40GB and using 27.4K images of 1 channel.

Animation Data, Model(s), API
fig Fig. Initial demo using UNET with OpenEDS datsets. Video has 3 frames copied 10 times to create a 30 frame per second video. DATA: OpenEDS; MODEL: UNET; API: ready.py d98c497
fig Fig. Pupil segmentation was masked to compute its centroid values as coordinates. Centroid values for x are plotted as cummulative time series of 30 samples. Streamed video consist of different 6 frames copied 5 times to create a 30 frames per second video. DATA: OpenEDS; MODEL: UNET; API: ready.py b44515a