# Detect face
if len(video_frames) == 0:
face_rects = faceCascade.detectMultiScale(gray, 1.3, 5)
# Select ROI
if len(face_rects) > 0:
for (x, y, w, h) in face_rects:
roi_frame = img[y:y + h, x:x + w]
if roi_frame.size != img.size:
roi_frame = cv2.resize(roi_frame, (500, 500))
frame = np.ndarray(shape=roi_frame.shape, dtype="float")
frame[:] = roi_frame * (1. / 255)
video_frames.append(frame)
frame_ct = len(video_frames)
cap.release()
This is part of the python code from this link https://github.com/rohintangirala/eulerian-remote-heartrate-detection/blob/master/preprocessing.py I am converting this to C++. Could someone provide me the C++ code for this?
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