Comments (8)
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.
from voxelnet.
you can refer to this link for hint!
hope it helps both of you.
from voxelnet.
@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.
I am sorry I hope you give me more information.
BR
from voxelnet.
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.
from voxelnet.
Hi, im very interested on th model for multi label classification, is this based on voxelnet? @Suri12990
from voxelnet.
@Suri12990
Hello, Any progress? I am interesting in your job... If you have any progress, Plz, share it with us...
from voxelnet.
@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.
from voxelnet.
you can find it here now https://github.com/mariya12290/VoxelNet_MultiClass/tree/master
from voxelnet.
Related Issues (20)
- 帮忙看一下问题可以吗
- should we use rotate iou?
- Here is a non-commercial Wechat group for discussing the lidar-based perception technologies. Welcome to join us. HOT 9
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- Invalid argument Error :coordinate has shape(batch_size,K,4) while voxelwise has shape(batch_size,K,128)How can we apply scatter_nd? In FeatureNet, self.outputs = tf.scatter_nd(self.coordinate, voxelwise, [self.batch_size, 10, cfg.INPUT_HEIGHT, cfg.INPUT_WIDTH, 128])
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- Training the voxel net for different objects at a time? HOT 6
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- About the point cloud range
- Facing below issue while executing train.py. HOT 1
- running setup.py find error HOT 1
- whenever I starting the training.py it's showing error!
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