如何在原始帧上绘制阈值
How to draw threshold on original frame
我是 opencv 的新手,通过一些教程我可以进行运动检测,
我可以绘制轮廓,但我想在我的原始帧上绘制帧之间的阈值,如下图所示,我该怎么做?
当我尝试使用函数 addWeighted 时出现错误,因为数组的形状不相等。
Orig: (1080, 1920, 3) Thrash:(180, 320)
谢谢
我以前看过一个视频。代码如下。选择您需要的那个。
我想你在谈论:
虽然正确:
_, 框架 = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
bodies = face_cascade.detectMultiScale(gray, 1.3, 5)
if len(faces) + len(bodies) > 0:
if detection:
timer_started = False
else:
detection = True
current_time = datetime.datetime.now().strftime("%d-%m-%Y-%H-%M-%S")
out = cv2.VideoWriter(
f"{current_time}.mp4", fourcc, 20, frame_size)
print("Started recording!")
elif detection:
if timer_started:
if time.time() - detection_stopped_time >= SECONDS_TO_RECORD_AFTER_DETECTION:
detection = False
timer_started = False
out.release()
print('Stop Recording!')
else:
timer_started = True
detection_stopped_time = time.time()
if detection:
out.write(frame)
for (x, y, width, height) in faces:
cv2.rectangle(frame, (x, y), (x + width, y + height), (255, 0, 0), 2)
我是 opencv 的新手,通过一些教程我可以进行运动检测, 我可以绘制轮廓,但我想在我的原始帧上绘制帧之间的阈值,如下图所示,我该怎么做?
当我尝试使用函数 addWeighted 时出现错误,因为数组的形状不相等。
Orig: (1080, 1920, 3) Thrash:(180, 320)
谢谢
我以前看过一个视频。代码如下。选择您需要的那个。 我想你在谈论:
虽然正确: _, 框架 = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
bodies = face_cascade.detectMultiScale(gray, 1.3, 5)
if len(faces) + len(bodies) > 0:
if detection:
timer_started = False
else:
detection = True
current_time = datetime.datetime.now().strftime("%d-%m-%Y-%H-%M-%S")
out = cv2.VideoWriter(
f"{current_time}.mp4", fourcc, 20, frame_size)
print("Started recording!")
elif detection:
if timer_started:
if time.time() - detection_stopped_time >= SECONDS_TO_RECORD_AFTER_DETECTION:
detection = False
timer_started = False
out.release()
print('Stop Recording!')
else:
timer_started = True
detection_stopped_time = time.time()
if detection:
out.write(frame)
for (x, y, width, height) in faces:
cv2.rectangle(frame, (x, y), (x + width, y + height), (255, 0, 0), 2)