Industrial radiographic film image lead word number identification method
A recognition method and type technology, which are applied in the field of film character recognition and artificial intelligence, can solve the problems of difficulty in collecting industrial negative type images, and the inability to collect a large number of complete data sets.
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[0091] Step 1: Extract the beginning part of the image lead number.
[0092] Step 1.1: Dataset labeling. All samples come from real industrial negatives, which are scanned into computer images. Professionals use labeling software to label the data set and generate label files, and each image corresponds to a label file.
[0093] Step 1.2: Image random slice and annotation format conversion.
[0094] Step 1.2.1: The image is randomly sliced.
[0095] The random number is set to 5, that is, 5 small images are generated for each labeled image, and the random step is set to 100. When the random number is less than the random number, set the random number to the random number.
[0096] Step 1.2.2: Annotation format conversion.
[0097] Yolov5 specifies the input annotation format. Each annotation box includes: class, x_center, y_center, width, height, which respectively refer to: sample label, x coordinate of the center point of the annotation box, y coordinate of the center poi...
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