Comments (6)
Seems that your shapes are correct. You might need to adjust your custom function for the plot as you desire. Or you can use a library like this: https://pypi.org/project/ecg-plot/.
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Hello, when I was running inference.py, error KeyError: 'use_model''masking' and so on occurred. How should I solve it?Thank you!
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unsure, this si not a complete error output to be able to trace it
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When I run "ecg_data_preprocessing.ipynb", I get an error that the label "label_diag_filtered_numeric" cannot be found. I found in the run "df_ptb_xl, lbl_itos_ptb_xl, mean_ptb_xl, std_ptb_xl = prepare_data_ptb_xl(data_folder_ptb_xl, min_cnt=0, target_fs=target_fs, channels=12, channel_stoi=channel_stoi_default, target_folder=target_folder_ptb_xl)" min_cnt=0 is passed in, so the "map_and_filter_labels" function in the file that executes "SSD-ECG-main/src/ptb_xl/clinical_ts/ecg_utils.py" is not called. So what should I set min_cnt to?
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I didn't run the code now, but I did before, I have the feeling that you don't need to change these parameters, anyway for a easy use, I uploaded the labels in the mega directory
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https://mega.nz/folder/UfUDFYjS#YYUJ3CCUGb6ZNmJdCZLseg
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Related Issues (16)
- How to train using any data? HOT 1
- Data Loader HOT 3
- No module named 'clinical_ts.stratify' HOT 1
- XResNet50 HOT 1
- Get 'ptbxl_train_labels.npy' file HOT 4
- Dataset HOT 5
- Failure to train model on cpu HOT 2
- Provide model training on synthetic data HOT 1
- Clarification on Dataset Published HOT 3
- How to run forecasting task. HOT 1
- Can you provide trained GAN network .pt weight files? HOT 1
- Label Mapping for Generated Data HOT 2
- Can't load trained model HOT 2
- DIffusion hyperparameters HOT 1
- which leads each index from 1 to 12 corresponds to? HOT 5
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