def display_detected(self, frame, face_locs, people, confidence):
"""
- Display ROI's of detected faces with labels
:param frame:
:param face_locs:
:param people : people in image classified
:param confidence : recognition confidence
:return:
"""
if not len(face_locs) == 0: # nothing detected
for (top, right, bottom, left), name, conf in zip(face_locs, people, confidence):
# Scale back up face locations since the frame we detected in was scaled to 1/4 size
top
right
bottom
left
# string
conf_4f = "%.3f" % conf
peop_conf = "{} {}%".format(name, float(conf_4f) * 100)
# Draw a box around the face
cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
# Draw a label with a name below the face
# cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
cv2.rectangle(frame, (left, top + 20), (right, top), (0, 0, 255), cv2.FILLED)
font = cv2.FONT_HERSHEY_DUPLEX # color
# cv2.putText(frame, peop_conf , (left + 6, bottom - 6), font, 0.5, (255, 255, 255), 1)
cv2.putText(frame, peop_conf, (left, top + 15), font, 0.5, (255, 255, 255), 1)
pass
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