I am using dnn module of opencv for object detection in tensorflow. I want to know how to find pixel coordinates (x,y) at corners of bounding box of detected object.
I use below snippet for drawing bounding boxes, which is from opencv dnn samples
cols = frame.shape[1]
rows = frame.shape[0]
for i in range(detections.shape[2]):
confidence = detections[0, 0, i, 2]
if confidence > args.thr:
class_id = int(detections[0, 0, i, 1])
xLeftBottom = int(detections[0, 0, i, 3] * cols)
yLeftBottom = int(detections[0, 0, i, 4] * rows)
xRightTop = int(detections[0, 0, i, 5] * cols)
yRightTop = int(detections[0, 0, i, 6] * rows)
cv.rectangle(frame, (xLeftBottom, yLeftBottom), (xRightTop, yRightTop),
(0, 255, 0))
if class_id in classNames:
label = classNames[class_id] + ": " + str(confidence)
labelSize, baseLine = cv.getTextSize(label, cv.FONT_HERSHEY_SIMPLEX, 0.5, 1)
yLeftBottom = max(yLeftBottom, labelSize[1])
cv.rectangle(frame, (xLeftBottom, yLeftBottom - labelSize[1]),
(xLeftBottom + labelSize[0], yLeftBottom + baseLine),
(255, 255, 255), cv.FILLED)
cv.putText(frame, label, (xLeftBottom, yLeftBottom),
cv.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0))
cv.imshow("detections", frame)
if cv.waitKey(1) >= 0:
break
