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This TensorFlow implementation of ENet is forked from @fregu856. You can find his
original code here: @fregu856/segmentation.git, which is implemented based on
the pyTorch version at https://github.com/e-lab/ENet-training
Here is a gif of the trained network: click on the gif 👈 to go to the youtube video.
- parallelize training to use more GPUs
The original paper for this model could be found here: 2016 Adam Paszke, et.al., ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
If you encounter the "No gradient defined for operation 'MaxPoolWithArgmax_1' (op type: MaxPoolWithArgmax)", you just need to use a GPU tensorflow instance, b/c the max_pool_with_argmax operator is not defined for the CPU. k
