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hq-jiang / instance-segmentation-with-discriminative-loss-tensorflow

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"
MIT License
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semantic_segmentation code #12

Closed wuyipengdashuaige closed 5 years ago

wuyipengdashuaige commented 5 years ago

Hello ,thanks a lot for your code . In my experiment，the inference time is about 60ms ,but the cluster time is more than 4s. so I only want to do the binary segmentation. Is there complete code for semantic segmentation? I got a trained model by your 'transfer_semantic.py' and failed in writing the inference and evaluation code. Have a nice day!

hq-jiang commented 5 years ago

Unfortunately, there is none. I would also have to rewrite it myself. I thought people would not be interested in this, since binray segmentation is pretty much solved. You could look at https://github.com/kwotsin/TensorFlow-ENet for inference.

wuyipengdashuaige commented 5 years ago

~^o^~thanks so much for your advice . i need a real-time lane detection in my coursework. i can filter the binary segmentation and then do the means-shift cluster . however i will try to adapt the network to output a lower resolution at first. since 端对端的检测貌似更好