8000 error:sh scripts/DGFNet_test.sh · Issue #4 · XinGP/DGFNet · GitHub
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WMXJY opened this issue Feb 7, 2025 · 4 comments
Open

error:sh scripts/DGFNet_test.sh #4

WMXJY opened this issue Feb 7, 2025 · 4 comments

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@WMXJY
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WMXJY commented Feb 7, 2025

When I run this code:
sh scripts/DGFNet_test.sh
I encounter the following error:
FileNotFoundError: [Errno 2] No such file or directory: 'data_argo/features/test/'
Could you please tell me how to create the test dataset? Do I need to write another .sh file?
@XinGP
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XinGP commented Feb 8, 2025

You first need to preprocess the raw argoverse data, and then if you want to test it, you need to train a model first.
If you don't want to retrain the model, you can leave your email and I can send you the unorganized code and the trained model.

use
sh scripts/argo_preproc.sh
and
sh scripts/DGFNet_train.sh

@WMXJY
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WMXJY commented Feb 8, 2025

Firstly, there is no detailed code for processing the test data in the argo_preproc.sh script.
`echo "-- Processing val set..."
python data_argo/run_preprocess.py --mode val
--data_dir ~/data/argodata/val/data/
--save_dir data_argo/features/

echo "-- Processing train set..."
python data_argo/run_preprocess.py --mode train
--data_dir ~/data/argodata/train/data/
--save_dir data_argo/features/`

So, I would like to know how to process the test dataset?
like？
echo "-- Processing test set..." python data_argo/run_preprocess.py --mode test\ --data_dir ~/data/argodata/test/data/ \ --save_dir data_argo/features/

@XinGP
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XinGP commented Feb 9, 2025

Yes, there's no problem with your understanding. I did miss the script code here

@Family-Liao
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Family-Liao commented Mar 17, 2025 •
edited
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You first need to preprocess the raw argoverse data, and then if you want to test it, you need to train a model first. If you don't want to retrain the model, you can leave your email and I can send you the unorganized code and the trained model.

use sh scripts/argo_preproc.sh and sh scripts/DGFNet_train.sh

@XinGP 作者你好，能不能发一份预处理测试集的代码以及生成h5文件的代码，我的邮箱是1311562375@qq.com，非常感谢

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@XinGP @Family-Liao @WMXJY
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