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mileyan / pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
https://mileyan.github.io/pseudo_lidar/
MIT License
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cannot generate poinclouds from disparity #13

Open aacmi opened 5 years ago

aacmi commented 5 years ago

Hi,

I can generate disparity images in .png.npy format using submission.py script. However when i try to convert those disparity files into poinclouds using generate_lidar.py it is not reading the files. The script is exiting without error but it is not reading the files. I don't know whether the file format is wrong or the script.

Any help will be appreciated.

mileyan commented 5 years ago

Sorry about that. I have fixed it. Please re-download the code and re-run the submission.py and generate__lidar.py.

aacmi commented 5 years ago

Now it is working. How to visualize the pointclouds that are in .bin format?

mileyan commented 5 years ago

You can use pptk package.

On Mon, Aug 5, 2019 at 5:45 PM aacmi notifications@github.com wrote:

Now it is working. How to visualize the pointclouds that are in .bin format?

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aacmi commented 5 years ago

thanks. How do you calculate the error between the predicted_velodyne and velodyne? Is there any tool that can be used to check the accuracy?