This is a UNet implementation designed to detect cars in the cityscapes dataset. The upconv layers have been replaced with subpixel convolution, which is very fast. If you freeze a model and run it in the cpp directory, you can see that it runs in less than 20ms on average.
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Unet for car segmentation written in TF
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