fang-ming / occupancy-for-nuscenes Goto Github PK
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License: Apache License 2.0
3D occupancy
License: Apache License 2.0
Thanks for your work.
But I find that it takes huge long time to generate trainval GT even with parallel generating. Also, it takes almost all CPU threads.
Is that same with your past practice?
Thanks!
Hi,
When I run the data_convert.py
to generate the occupancy data,
I meet the error below.
3836
3837
Traceback (most recent call last):
File "data_converter.py", line 464, in <module>
convert2occupy(args.dataroot, args.save_path, args.num_sweeps)
File "data_converter.py", line 455, in convert2occupy
generate_occupancy_data(nusc, cur_sample, num_sweeps, save_path=save_path)
File "data_converter.py", line 338, in generate_occupancy_data
prev_info = get_frame_info(next_frame, nusc=nusc)
File "data_converter.py", line 93, in get_frame_info
velocities = np.concatenate((velocities, np.zeros_like(velocities[:, 0:1])), axis=-1)
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
Hi, when I run your code on the trainval set, in some scenes it will meet the following problem:
velocities = np.concatenate((velocities, np.zeros_like(velocities[:, 0:1])), axis=-1)
IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
非常感谢你的代码,请问如何定义不同的occupancy尺寸?在data_converter中没有找到如何确定生成gt尺寸相关的设置,但是看你的train代码中定义的BEV尺寸是100x100
Thanks for sharing this amazing work!
I wonder, if there is a paper related to this project. Can you add a link if exists?
Could you please provide some information about the inference time on certain devices?
Thanks!
I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/A9dCpjHPfE or add me on WeChat (ID: van-sin) and I will invite you to the OpenMMLab WeChat group.
Here are the OpenMMLab 2.0 repos branches:
OpenMMLab 1.0 branch | OpenMMLab 2.0 branch | |
---|---|---|
MMEngine | 0.x | |
MMCV | 1.x | 2.x |
MMDetection | 0.x 、1.x、2.x | 3.x |
MMAction2 | 0.x | 1.x |
MMClassification | 0.x | 1.x |
MMSegmentation | 0.x | 1.x |
MMDetection3D | 0.x | 1.x |
MMEditing | 0.x | 1.x |
MMPose | 0.x | 1.x |
MMDeploy | 0.x | 1.x |
MMTracking | 0.x | 1.x |
MMOCR | 0.x | 1.x |
MMRazor | 0.x | 1.x |
MMSelfSup | 0.x | 1.x |
MMRotate | 0.x | 1.x |
MMYOLO | 0.x |
Attention: please create a new virtual environment for OpenMMLab 2.0.
R.T.
Thanks!
Hi,
How to reproduce the predicted occupancy demo on the webpage?
I think I should save the predicted occupancy files, but I don't know how to save it?
Pretty good work, can you provide your training log, I want to compare it with my log.
hi,
thanks for your awesome work. The GoogleNetDIsk can not be visited because the proxy. So will you please give the BaiDuNetDisk URL?
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