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Train size: 3401 |
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Val size: 1075 |
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Test size: 200 |
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Classes: |
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Credit card front face |
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Credit card back face |
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Text (lines) |
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Chip (in front face) |
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Band (in back face) |
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Training command running from the root of the project: |
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yolo train model=./models/yolov8n.pt data=./datasets/creditCardV0.3/yolo8Config.yaml epochs=300 imgsz=800 |
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Command to export as tflite bellow. For some reason the exception [ModuleNotFoundError: No module named 'tensorflow_lite_support'] is raised but the tflite files are created: |
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yolo export model=./datasets/creditCardV0.3/weights/best.pt format=tflite |
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Command to test: |
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yolo predict model='./datasets/creditCardV0.3/weights/best.pt' source='./test/T0.jpg' |
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yolo predict model='./datasets/creditCardV0.3/weights/best_float16.tflite' source='./test/T0.jpg' |
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yolo predict model='./datasets/creditCardV0.3/weights/best_float30.tflite' source='./test/T0.jpg' |
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Notes: |
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This data set has an issue with the chip. For some reason it was not generated correctly for some images. |
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The light in the images needs fixing to avoid white clipping parts of the images. |
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The texture of the plastic is too deep some times. |
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For more info: https://docs.ultralytics.com/ |
