Comments (19)
@ZikangZhou Thank you very much. I have run successfully and the result on the leaderboard is:
A little bit worse than your submission.
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It seems that you haven’t installed the av2 api. Could you confirm whether the av2 package has been installed in your current environment?
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Yes, I have installed the av2 api and there is still this error message.
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Could you "import av2" successfully?
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I was facing the same issue. This got resolved using "pip install av2".
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@ZikangZhou Thank you. I have solved the error I mentioned and run test on a 24GB card, but there is a new error:
@shahaamirbader Did you have the same problem?
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Hi I haven't yet faced this error since presently I am training this model. I may face this issue during test as you are facing. By the way how long did it take for you to train the network? I have 2 GPUs , 32 GB and it's been two days and only 7 epochs. Do you know if the author has shared the checkpoints of the retrained models?
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@ZikangZhou Thank you. I have solved the error I mentioned and run test on a 24GB card, but there is a new error: @shahaamirbader Did you have the same problem?
This is because you're using an old version of av2-api. To avoid re-installing av2, you can try to replace the content in lib/python3.8/site-packages/av2/datasets/motion_forecasting/eval/submission.py with the latest code in https://github.com/argoverse/av2-api/blob/main/src/av2/datasets/motion_forecasting/eval/submission.py. Sorry for the inconvenience in installation.
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Hi I haven't yet faced this error since presently I am training this model. I may face this issue during test as you are facing. By the way how long did it take for you to train the network? I have 2 GPUs , 32 GB and it's been two days and only 7 epochs. Do you know if the author has shared the checkpoints of the retrained models?
The checkpoint can be downloaded here: https://drive.google.com/file/d/1OKBytt6N6BdRa9FWmS7F1-YvF0YectBv/view?usp=drive_link
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@bixiang BTW, can you tell me the test set performance of the checkpoint if you can submit it to the leaderboard?
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@ZikangZhou Thank you very much. I have run successfully and the result on the leaderboard is:
A little bit worse than your submission.
Thx! Actually this performance is better,because my previous submission has used ensembling (combination of 5 single models).
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@ZikangZhou Thank you very much. I have run successfully and the result on the leaderboard is: A little bit worse than your submission.
I submit the "submission.parquet" file into the argoverse2 eval website, but it takes a long time to get the eval result, and i haven't get the eval result until now, so what's wrong with me?
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@ZikangZhou Hi, Zhou! What do you mean about ensembling (combination of 5 single models)? Are those models all QCNet, or are QCNet and other models?
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@ZikangZhou Hi, Zhou! What do you mean about ensembling (combination of 5 single models)? Are those models all QCNet, or are QCNet and other models?
All are QCNet.
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@ZikangZhou Hello, Zhou. How can the 30 trajectories generated by the 5 models be integrated into trajectories for the 6 modes?
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@ZikangZhou Hello, Zhou. How can the 30 trajectories generated by the 5 models be integrated into trajectories for the 6 modes?
@ZikangZhou I am also confused how the 5 models are integrated.
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@ZikangZhou Hello, Zhou. How can the 30 trajectories generated by the 5 models be integrated into trajectories for the 6 modes?
@ZikangZhou I am also confused how the 5 models are integrated.
@rongxiaoqu do you have any idea about integrating 5 models now?
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@ZikangZhou Hi, Zhou! What do you mean about ensembling (combination of 5 single models)? Are those models all QCNet, or are QCNet and other models?
All are QCNet.
Hello, may I ask how much K you selected when using K-MEANS?
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Hi, your work is great. I try to generate the prediction results on the test set by following your code:
python test.py --model QCNet --root /path/to/dataset_root/ --ckpt_path /path/to/your_checkpoint.ckpt
But there is some error like this:
Global seed set to 2023 Processing... 0%| | 0/24984 [00:00<?, ?it/s] Traceback (most recent call last): File "test.py", line 40, in <module> test_dataset = { File "/content/QCNet/datasets/argoverse_v2_dataset.py", line 150, in __init__ super(ArgoverseV2Dataset, self).__init__(root=root, transform=transform, pre_transform=None, pre_filter=None) File "/usr/local/envs/QCNet/lib/python3.8/site-packages/torch_geometric/data/dataset.py", line 97, in __init__ self._process() File "/content/QCNet/datasets/argoverse_v2_dataset.py", line 534, in _process self.process() File "/content/QCNet/datasets/argoverse_v2_dataset.py", line 190, in process map_data = read_json_file(map_path) TypeError: object() takes no arguments
Wondering what's the reason and how to deal with it. Thank you very much.
在我的例子里,当我注释掉QCNet/datasets/argoverse_v2_dataset.py 34~43行的try...except,发现环境中opencv 的依赖库(libgthread-2.0.so.0,libGL.so.0)没有正确安装。安装后问题解决。
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Related Issues (20)
- TimeoutError: The client socket has timed out after 1800s while trying to connect to (127.0.0.1, 43971) HOT 4
- tarfile.ReadError: unexpected end of data HOT 5
- I wonder what "pt" and "pa" stand for respectively HOT 1
- ubuntu or windows HOT 1
- Problems about training HOT 3
- I need some help about Qualitative Results and validation HOT 4
- visualization HOT 2
- Using PyG TemporalDataLoader
- Questions about reuse the past "x_a" cache
- In which part of the code is "anchor-free mode queries" implemented? HOT 1
- Can not reproduce results in the QCNeXt report
- conda version HOT 1
- No map data demo
- Slightly poorer results from scratch training
- 在qcnext中,第二阶段的的anchor pos embedding是如何生成的
- How to load checkpoint and continue training? HOT 1
- How to reuse information from the previous frame??? HOT 2
- Can I use the model provided by the author to predict my own data? HOT 1
- Ask about the design of the attention layer HOT 1
- Could you share the checkpoint? HOT 1
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