Comments (5)
SmallMunich
commented on July 21, 2024
why use create_data.py in xavier? inference process do not need this file.
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Shaoqing26
commented on July 21, 2024
why use create_data.py in xavier? inference process do not need this file.
I want test the project Velo and acc on Xavier，but It occor this problem， I contacted you on CSDN，Maybe you dont get the messege
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Shaoqing26
commented on July 21, 2024
why use create_data.py in xavier? inference process do not need this file.
I am a BUAA sutdent ,May I have your kindly advice? I have send you My Wechat account(12042003) on CSDN，Can I have your number？Its appreciate you can add me later.
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SmallMunich
commented on July 21, 2024
why use create_data.py in xavier? inference process do not need this file.
I want test the project Velo and acc on Xavier，but It occor this problem， I contacted you on CSDN，Maybe you dont get the messege
Sorry, I didn't read the blog in time, I have replied to you justly.
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xieqi1996
commented on July 21, 2024
why use create_data.py in xavier? inference process do not need this file.
I am a BUAA sutdent ,May I have your kindly advice? I have send you My Wechat account(12042003) on CSDN，Can I have your number？Its appreciate you can add me later.
Have you solved the problem？
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Related Issues (20)
- train on my own RGB-D dataset
- I have trouble with multi class training HOT 3
- I dont get the input and output shapes of pfe.onnx and rpn.onnx
- Is there a pre-trained neural network? HOT 2
- confused about Dilated convolution replace maxpooling HOT 1
- Semantic segmentation based on pointpillars
- Error in training on my own datasets and kitti datasets
- Train a model for Autoware's Point Pillars ROS implementation ? HOT 1
- why I get all AP zeros when I try to evaluate after training?
- How to visualize the evaluation result? HOT 4
- Need help on training a model for Autoware's Point Pillars ROS implementation!!! HOT 1
- How to use Docker image?
- Can model trainning on multi gpus?
- hi, could you provide the pretrain onnx model
- train error
- [999] Call to cuInit results in CUDA_ERROR_UNKNOWN: when create_data.py is run
- did the pointpillars model contain sparse conv3d op? HOT 1
- Change the point_cloud_range, can not converge HOT 1
- Anyone tried the effect of the number of channels output by PFNLayer on the accuracy?
- How to run infer on my own data？ HOT 1
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