dongkwonjin / rvld Goto Github PK

Thanks for your contribution on new dataset.
But i have a question:
The label folder /OpenLane-V/label/training/ contains 450 clips, each containing a maximum of 199 images and a minimum of 5 images,
But the file /OpenLane-V/list/datalist_video_training.pickle contain 622 clips, each containing a maximum of 199 images and a minimum of 1 images. And both folders contain the same total of 68143 images.
Why split 450 clips into 622？

Great work on your project! I want to know when you plan to release the new dataset "OpenLane-V".

感谢您优秀的工作。
在代码中我看到self.model.classifier.eval()，请问处于什么考量不训练classifier呢？

    def finetune_model(self):
        val1 = True
        val2 = False

        for param in self.model.regressor.parameters():
            param.requires_grad = val1  #
        for param in self.model.offset_regression.parameters():
            param.requires_grad = val1
        for param in self.model.deform_conv2d.parameters():
            param.requires_grad = val1
        for param in self.model.classifier.parameters():
            param.requires_grad = val2
        if val1 == False:
            self.model.regressor.eval() 
            self.model.offset_regression.eval()
            self.model.deform_conv2d.eval()
        if val2 == False:
            self.model.classifier.eval()

Your paper states that some of the details are in the supplementary document, but I didn’t see it.

Great work on your project! However, I cannot find the txt folder under the VIL100 dataset, which is used in your program(/RVLD/VIL100/txt/anno_txt/). Where should I find this folder or generate it?

Great work on your project! However, in this paper, coefficient map is only generated from probability map. I want to know if using feature map as an additional input will result in a more accurate coefficient map? Have you conducted any relevant experiments?

How do you test on CLRNet

Thank you for your excellent work and the provided dataset.

I have a question regarding the training process of CLRNet and GANet on the OpenLane-V dataset.
I attempted to reproduce the results using your dataset, but my scores did not align with those reported in the paper.
Could you provide assistance, possibly in the form of a config file or specific settings, for training these networks?

Thank you.

Thanks for your work! However, I want to ask whether the pretrained model you provided can be directly used for reproduce your performance in your paper?