added skipped names
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@ -94,6 +94,7 @@ detector = cv2.aruco.ArucoDetector(dictionary, detector_params)
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images_converted = 0
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images_skipped = 0
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names_skipped = []
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### IMAGE CONVERSIE ###
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for folder in os.listdir(input_directory):
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@ -147,16 +148,12 @@ for folder in os.listdir(input_directory):
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if VERBOSE:
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print("IDs detected:\n", ids)
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if ids is None:
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if ids is None or len(ids) != 4:
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print("Skipping: ", filename)
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print("=============================================")
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names_skipped.append(filename)
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images_skipped += 1
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continue
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if len(ids) != 4:
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print("Skipping: ", filename)
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print("=============================================")
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images_skipped += 1
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continue
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if VERBOSE:
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print("%d markers gedetecteerd" %len(ids))
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@ -256,5 +253,12 @@ for folder in os.listdir(input_directory):
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if VERBOSE:
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print("%d van de %d succesvol"
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%(images_converted, (images_converted+images_skipped)))
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if images_skipped != 0:
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print("")
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with open(os.path.join(input_directory, "skipped.txt"), 'w') as file:
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for name in names_skipped:
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file.write(name)
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file.write("\n")
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cv2.destroyAllWindows()
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