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For pedestrian/cyclist training #87
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Hello, arxidinakbar Did you solve this issue? hopefully I also train multi objects, car, pedestrian, and cyclist, but I don't know what should i do... if you made it, I hope you give me information. plz. |
you can refer to this link for hint! hope it helps both of you. |
@Suri12990 Thanks for your advise. I try to train with kitti datasets and this git code. your word is very good but I don't know which file do i modify. BR |
Hey @charlescho64 Give me sometime, I will put the whole model for multi label classification in my repo in few day. I am training the model for multi-label classification. Once I got satisfactory results. I will upload the results and model in Github. |
Hi, im very interested on th model for multi label classification, is this based on voxelnet? @Suri12990 |
@Suri12990 |
@charlescho64 Sorry for the delay, My approach is worked and also I am getting better results, more than 50 mAP for both Pedestrain and Cyclist. If I consider just one Class, I am getting almost 70 mAP. Since my work is only for Pedestrian and Cyclist, I consider only those classes. But I need some time to put the model in Github with all the documentation, Since it is my master thesis, I am using two data sets and annotation of custom data set, finally my thesis report. It takes lots of time to all this things. By the end of this month I will put in the github. Never mind. |
you can find it here now https://github.com/mariya12290/VoxelNet_MultiClass/tree/master |
Hi, hoping for some discussion about parametes setting for pedestrian/cyclist training.
I have trying to train for pedestrian&cyclist detection task, and follwed the original paper set the stride to 1 in first block, and feature map size from RPN would be [batch, 200, 240, 128], but cfg.FEATURE_HEIGHT & cfg.FEATURE_WIDTH in config.py is half size of it, because of the cfg.FEATURE_RATIO=2, SO, should we change cfg.FEATURE_RATIO=1 to make network available for training??
I know this site no that active, but still hope someone to exchange the idea, thanks.
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