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@atotto
Last active March 27, 2024 15:41
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apriltag video capture example
# https://github.com/AprilRobotics/apriltag
# example image: https://github.com/AprilRobotics/apriltag-imgs/blob/master/tagStandard41h12/mosaic.png
import cv2
from apriltag import apriltag
cam = cv2.VideoCapture(0)
cv2.namedWindow("detections")
img_counter = 0
while True:
ret, frame = cam.read()
if not ret:
print("failed to grab frame")
break
image = frame
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
detector = apriltag("tag16h5")
detections = detector.detect(gray)
for r in detections:
# draw the bounding box of the detection
(lb, rb, rt, lt) = r['lb-rb-rt-lt']
rb = (int(rb[0]), int(rb[1]))
rt = (int(rt[0]), int(rt[1]))
lt = (int(lt[0]), int(lt[1]))
lb = (int(lb[0]), int(lb[1]))
cv2.line(image, lb, rb, (0, 255, 0), 2)
cv2.line(image, rb, rt, (0, 255, 0), 2)
cv2.line(image, rt, lt, (0, 255, 0), 2)
cv2.line(image, lt, lb, (0, 255, 0), 2)
# draw the center point
center = r['center']
(cx, cy) = (int(center[0]), int(center[1]))
cv2.circle(image, (cx, cy), 5, (0, 0, 255), -1)
# draw the tag id
tag_id = r['id']
cv2.putText(image, '{}'.format(tag_id), (lb[0], lb[1] - 15),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
# hamming = r['hamming']
# margin = r ['margin']
cv2.imshow("detections", image)
k = cv2.waitKey(1)
if k%256 == 27:
# esc pressed
print("quit")
break
elif k%256 == 32:
# space pressed
img_name = "detection_result_{}.png".format(img_counter)
cv2.imwrite(img_name, image)
print("save {}".format(img_name))
img_counter += 1
cam.release()
cv2.destroyAllWindows()
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atotto commented May 1, 2021

detection_result_0

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