added aruco generate and detect

aruco_detect.py

@@ -0,0 +1,85 @@
+import argparse
+import cv2
+import sys
+
+import cv2.aruco
+
+from aruco_types import ARUCO_DICT
+
+
+def im_resize(image, new_width: int):
+	# Define new width while maintaining the aspect ratio
+	aspect_ratio = new_width / image.shape[0]
+	new_height = int(image.shape[1] * aspect_ratio)  # Compute height based on aspect ratio
+
+	image = cv2.resize(image, (new_width, new_height))
+	return image
+
+def factory(aruco_type: int) -> cv2.aruco.ArucoDetector:
+	aruco_dict = cv2.aruco.getPredefinedDictionary(aruco_type)
+	aruco_params = cv2.aruco.DetectorParameters()
+	aruco_detector = cv2.aruco.ArucoDetector(aruco_dict, aruco_params)
+
+	return aruco_detector
+
+def process_video(aruco_detector: cv2.aruco.ArucoDetector):
+	# Open camera
+	video = cv2.VideoCapture(0)
+	if not video.isOpened():
+		print("Cannot open camera")
+		exit()
+
+	while True:
+		# Read a new frame
+		ok, img = video.read()
+		if not ok:
+			return
+		process(aruco_detector, img)
+		k = cv2.waitKey(1) & 0xFF
+		if k == ord('q'):
+			break
+
+def process_still(aruco_detector, filename: str):
+	image = cv2.imread(filename)
+	image = im_resize(image, 600)
+	process(aruco_detector, image)
+	k = cv2.waitKey(-1) & 0xFF
+
+def process(aruco_detector, img):
+	(corners, ids, rejected) = aruco_detector.detectMarkers(img)
+	img = cv2.aruco.drawDetectedMarkers(img, corners, ids)
+	cv2.imshow("Image", img)
+
+def main():
+	# construct the argument parser and parse the arguments
+	ap = argparse.ArgumentParser()
+	ap.add_argument("-i", "--image",
+		help="path to input image containing ArUCo tag")
+	ap.add_argument("-t", "--type", type=str,
+		default="DICT_ARUCO_ORIGINAL",
+		help="type of ArUCo tag to detect")
+	args = vars(ap.parse_args())
+
+	# verify that the supplied ArUCo tag exists and is supported by
+	# OpenCV
+	if ARUCO_DICT.get(args["type"], None) is None:
+		print("[INFO] ArUCo tag of '{}' is not supported".format(
+			args["type"]))
+		sys.exit(0)
+	# load the ArUCo dictionary, grab the ArUCo parameters, and detect
+	# the markers
+	print("[INFO] detecting '{}' tags...".format(args["type"]))
+
+	aruco_detector = factory(ARUCO_DICT[args["type"]])
+
+	# load the input image from disk and resize it
+	print("[INFO] loading image...")
+
+	if args["image"] is not None:
+		process_still(aruco_detector, args["image"])
+	else:
+		process_video(aruco_detector)
+
+
+if __name__ == '__main__':
+	main()