JunjieLiuSWU

> how to test for dectecting lane with this model? > > 怎么测试这个模型 Here is the test file: [https://github.com/JunjieLiuSWU/LaneDetection_End2End](https://github.com/JunjieLiuSWU/LaneDetection_End2End)

> Hi JunjieLiu: > > It is implemented at: > > https://github.com/AutoAILab/DynamicDepth/blob/d674b462cd1a5b2b84062de0b645bcd3f177ab82/dynamicdepth/networks/resnet_encoder.py#L205 It sames that dynamic object mask is not used here.

> ` > Thank you for pointing out the confusion. I just updated some variable names and comments. > > The dynamic object mask is used in the DOMD module....

> do you mean [here](https://github.com/AutoAILab/DynamicDepth/blob/d791e32b565210c119945d7f37dfb4dd46ec4ba3/dynamicdepth/trainer.py#L719)? I mean [here](https://github.com/AutoAILab/DynamicDepth/blob/d791e32b565210c119945d7f37dfb4dd46ec4ba3/dynamicdepth/trainer.py#L397) in the training phase, but there is not the same operation I the inference phase, and dynamic object mask is not used...

> Seems the `evaluate_depth.py` is not the correct version, I'm investigating it. You can use the `val()` function in the `trainer.py` now, it also evaluates on the test set. Thank...