drsleep / nas-segm-pytorch Goto Github PK
View Code? Open in Web Editor NEWCode for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
License: Other
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
License: Other
@DrSleep Thank you for your hard work,
My goal is to search for an architecture that balance accuracy and high inferencing speed on cpu.
parameters
flops
adds
?Thanks for the open code!
When performing the search procedure, i always got zero reward after epoch 69. Is it normal?
reward: 0.6049, epoch: 69, params: 2152613, epoch_time: 27.7015, genotype: [[3, [1, 0, 9, 9], [4, 1, 7, 1], [0, 7, 10, 5]], [[3, 3], [4, 4], [3, 3]]]
reward: 0.0000, epoch: 70, params: 2277317, epoch_time: 7.8641, genotype: [[6, [0, 1, 3, 1], [0, 4, 0, 10], [2, 2, 6, 10]], [[1, 0], [2, 3], [2, 0]]]
reward: 0.0000, epoch: 71, params: 2088101, epoch_time: 7.4487, genotype: [[0, [0, 1, 7, 1], [4, 1, 4, 3], [5, 2, 7, 7]], [[3, 1], [4, 2], [2, 5]]]
reward: 0.0000, epoch: 72, params: 2147717, epoch_time: 7.7244, genotype: [[9, [1, 0, 6, 10], [3, 0, 2, 4], [4, 2, 1, 10]], [[1, 3], [0, 3], [2, 3]]]
What configurations should be made in-order to search and train on a single 8gb gpu
Could you provide the download link
could you please open source the whole training process? I think that will be more valuable than this fixed model. Thank you for your time.
Hi Vladimir, could you please provide official segmentation models trained on CityScapes?
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