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OniroAI / Semantic-segmentation-with-MobileNetV3

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
GNU General Public License v3.0
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How to allow programs in Ubuntu environment #2

Closed pawopawo closed 4 years ago

pawopawo commented 4 years ago

Thanks for your nice work ! How to allow programs in Ubuntu environment, not docker, cannot allow make build

pawopawo commented 4 years ago

The number of the last block channel of mobilenetv3 in the paper is reduced by a factor of 2, and atrous conv is used

voeykovroman commented 4 years ago

If you don't want to use Docker you may locally install Python>=3.6, NVIDIA driver >= 418, CUDA >= 10.1, tensorflow-gpu>=2.0.0b1 and other packages from requirements.txt and Docker file.

voeykovroman commented 4 years ago

Regarding the second message, actually it's quite vague in the paper but according to the figure 10 they don't actually use atrous convolutions, they propose Lite-RASPP module which exploits 1x1 convolutions and average pooling with big kernel and stride parameters. What about the number of channels you can easily change it in proposed code to get full consistence with the paper, but highly likely it won't affect accuracy and performance so much.