Software Requirements/Operations
- Whether AMD CPUs can run CPU models?
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AMD CPUs do not support running CPU models.
- Why does the inconsistency between the ROI settings of on-site data and training data affect the confidence values of instance segmentation?
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The inconsistency will result in objects being out of the optimal recognition range of the model, thus affecting the confidence. Therefore, please keep the ROI settings of the on-site data and training data consistent.
- ROI position deviations may occur when opening old projects with the newer-version Mech-DLK.
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The ROI will be corrected after you click Validate.
- When training a model in Mech-DLK, what should I do if the error message “ModuleNotFoundError: No module named ‘onnxruntime’” shows?
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Go to the “users” folder in OS (C:) and open the folder of the current user of the computer. Check if the folder “AppData/Roaming/Python/Pythong36/site-packages” is empty. If not, please delete all contents in the folder.
- How to use multiple labeling results for model training?
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Export the labeled data completed by each labeler separately, and then import all exported datasets into the same project. After the datasets are imported, check if the number of images has increased by the same amount as the number of imported images. If they match, it indicates a successful import, and you can use the imported data for model training and other operations.