如何解决 Python 网络摄像头崩溃。我正在使用网络摄像头计算通过某个区域的 Person/Car/Truck 的数量
How to solve Python webcam crash. I'm using webcam to count the number of Person/Car/Truck that passed an area
我想使用 Python 和 Pycharm 使用网络摄像头制作一个 Person/Car/Truck 计数程序。
视频源来自网络摄像头（私人link）。
当'Person'按钮（在左边）被点击时，从那一刻开始，每当有人走过红线（绿线是起始参数），程序都会将其计为1人并继续计数，直到相同
单击人员按钮（在左侧）。 'Car' 按钮和 'Truck' 按钮也是如此。 Car 和 Truck 的总数也显示在 window。
我已经有了执行此操作的工作代码，但每当我 运行 程序（py 文件）时，出于未知原因，它会 crash/stop 几分钟后大约 15 秒到 30 秒从一开始。错误是：
Traceback (most recent call last):
File "C:/Users/admin/Desktop/Fadhli/License Plate Recognition/Mark1/mark5_1.py", line 110, in <module>
frame = frame2.copy()
AttributeError: 'NoneType' object has no attribute 'copy'
Process finished with exit code 1
我测试了相同的代码，但我更改了编码以使用我自己的网络摄像头并且它工作正常并且没有崩溃。
我怀疑问题是因为私人网络摄像头的某些过滤器或导致程序卡住然后崩溃的原因。
我的问题是，我该怎么做：
A) 添加缓冲区或类似的东西，这样程序就不会挂起或
B) 完全绕过那个私人相机的滤镜，这样
程序没有崩溃。
我的编码：
import cv2
import numpy as np
# Resolution Pixel Size
# 640 x 480 - Standard Definition(SD)
# 1280 x 720 - High Definition(HD)
# 1920 x 1080 - Ultra High Definiion(HD+)
# 3840 x 2160 - Ultra High Definition(UHD or 2K)
cyanColor = (255, 255, 0)
pinkColor = (255, 0, 255)
yellowColor = (0, 255, 255)
greenColor = (0, 255, 0)
blueColor = (255, 0, 0)
redColor = (0,0,255)
path_vid = "Resources/video/license_plate.mp4"
path_main_ent= 'rtsp://admin:~~~Streaming/Channels/101'
path_parking_Lot = 'rtsp://admin:~~~/Streaming/Channels/101'
button_person = False
button_car = False
button_truck = False
counter = 0
nmsThreshold = 0.3
confThreshold = 0.4
def rescale_frame(image, percentage):
width = int(image.shape[1] * percentage / 100)
height = int(image.shape[0] * percentage / 100)
new_frame = (width, height)
return cv2.resize(image, new_frame, interpolation=cv2.INTER_AREA)
def click_button(event,x,y,flags,params):
global button_person
global button_car
global button_truck
if event == cv2.EVENT_LBUTTONDOWN:
print(x,y)
# ------ Person Button Clicking ---------
polygon_person = np.array([[(20, 160), (200, 160), (200, 230), (20, 230)]])
is_inside_person_button = cv2.pointPolygonTest(polygon_person,(x,y),False)
if is_inside_person_button>0:
print("You've clicked a button",x,y)
if button_person is False:
button_person = True
else:
button_person = False
print("Now Person Button is: ",button_person)
# ------ Car Button Clicking ---------
polygon_car = np.array([[(20, 250), (200, 250), (200, 320), (20, 320)]])
is_inside_car_button = cv2.pointPolygonTest(polygon_car, (x, y), False)
if is_inside_car_button > 0:
print("You've clicked a button", x, y)
if button_car is False:
button_car = True
else:
button_car = False
print("Now Car Button is: ", button_car)
# ------ Truck Button Clicking ---------
polygon_truck = np.array([[(20, 340), (200, 340), (200, 410), (20, 410)]])
is_inside_truck_button = cv2.pointPolygonTest(polygon_truck, (x, y), False)
if is_inside_truck_button > 0:
print("You've clicked a button", x, y)
if button_truck is False:
button_truck = True
else:
button_truck = False
print("Now Truck Button is: ", button_truck)
# net = cv2.dnn.readNet("dnn_model/yolov3.weights", "dnn_model/yolov3.cfg")
# net = cv2.dnn.readNet("dnn_model/yolov3-spp.weights", "dnn_model/yolov3-spp.cfg")
# net = cv2.dnn.readNet("dnn_model/yolov3-tiny.weights", "dnn_model/yolov3-tiny.cfg")
# net = cv2.dnn.readNet("dnn_model/yolov4.weights", "dnn_model/yolov4.cfg")
net = cv2.dnn.readNet("dnn_model/yolov4-tiny.weights", "dnn_model/yolov4-tiny.cfg")
model = cv2.dnn_DetectionModel(net)
model.setInputParams(size=(640,480), scale=1/255)
classes = []
with open("dnn_model/classes.txt","r") as file_object:
for class_name in file_object.readlines():
class_name = class_name.strip()
classes.append(class_name)
# print("- Object List -")
# print(classes[0])
cap = cv2.VideoCapture(path_main_ent)
# cap = cv2.VideoCapture(path_parking_Lot)
cv2.namedWindow("Frame") # The name should be same with cv2.imshow("_Name_")
cv2.setMouseCallback("Frame",click_button)
ret,frame1 = cap.read()
while cap.isOpened():
ret,frame2 = cap.read()
frame = frame2.copy()
# print(type(frame))
if not ret:
break
img_frame_90 = rescale_frame(frame, 90)
line_frame_above = cv2.line(img_frame_90, (390, 430), (1220, 470), yellowColor, 2)
line_frame = cv2.line(img_frame_90, (380, 440), (1220, 480), blueColor, 4)
line_frame_bottom = cv2.line(img_frame_90, (370, 450), (1220, 490), yellowColor, 2)
polygon_person = np.array([[(20, 160), (200, 160), (200, 230), (20, 230)]])
cv2.fillPoly(img_frame_90, polygon_person, greenColor)
cv2.putText(img_frame_90, "Person", (50, 200), cv2.FONT_HERSHEY_PLAIN, 2, blueColor, 2)
polygon_car = np.array([[(20, 250), (200, 250), (200, 320), (20, 320)]])
cv2.fillPoly(img_frame_90, polygon_car, greenColor)
cv2.putText(img_frame_90, "Car", (50, 290), cv2.FONT_HERSHEY_PLAIN, 2, blueColor, 2)
polygon_truck = np.array([[(20, 340), (200, 340), (200, 410), (20, 410)]])
cv2.fillPoly(img_frame_90, polygon_truck, greenColor)
cv2.putText(img_frame_90, "Truck", (50, 380), cv2.FONT_HERSHEY_PLAIN, 2, blueColor, 2)
(class_ids, scores, bboxes) = model.detect(img_frame_90,nmsThreshold=nmsThreshold, confThreshold=confThreshold)
if len(class_ids) != 0:
for class_id, score, bbox in zip(class_ids,scores,bboxes):
(x,y,w,h) = bbox
class_name = classes[class_id]
xmid = int((x + (x + w)) / 2)
ymid = int((y + (y + h)) / 2)
if class_name == "person" and button_person is True:
cv2.rectangle(img_frame_90, (x, y), (x + w, y + h), pinkColor, 2)
cv2.circle(img_frame_90, (xmid, ymid), 3, redColor, -1)
# cv2.putText(img_frame_90,str(class_name),(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,yellowColor,2)
if ymid > 431 and ymid < 507 and xmid > 370 and xmid <490:
line_frame = cv2.line(img_frame_90, (350, 440), (1220, 480), greenColor, 4)
counter += 1
if class_name == "car" and button_car is True:
cv2.rectangle(img_frame_90, (x, y), (x + w, y + h), greenColor, 2)
cv2.circle(img_frame_90, (xmid, ymid), 3, redColor, -1)
# cv2.putText(img_frame_90,str(class_name),(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,yellowColor,2)
if ymid > 431 and ymid < 507:
line_frame = cv2.line(img_frame_90, (350, 440), (1220, 480), greenColor, 4)
counter += 1
if class_name == "truck" and button_truck is True:
cv2.rectangle(img_frame_90, (x, y), (x + w, y + h), cyanColor, 2)
cv2.circle(img_frame_90, (xmid, ymid), 3, redColor, -1)
# cv2.putText(img_frame_90,str(class_name),(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,yellowColor,2)
if ymid > 431 and ymid < 507:
line_frame = cv2.line(img_frame_90, (350, 440), (1220, 480), greenColor, 4)
counter += 1
cv2.putText(img_frame_90, 'Total Vehicles : {}'.format(counter), (0, 100), cv2.FONT_HERSHEY_SIMPLEX, 2, yellowColor,2)
frame1 = frame2
cv2.imshow("Frame",img_frame_90)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
@KenY-N 根据建议，我将代码（从第 169 行）修改为
cv2.putText(img_frame_90, 'Total Vehicles : {}'.format(counter), (0, 100), cv2.FONT_HERSHEY_SIMPLEX, 2, yellowColor,2)
frame1 = frame2
if not frame2:
continue
cv2.imshow("Frame",img_frame_90)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
print(ret)
cap.release()
cv2.destroyAllWindows()
结果还是崩溃报错：
True
''
''
''
True
Traceback (most recent call last):
File "C:/Users/admin/Desktop/Fadhli/License Plate Recognition/Mark1/mark5_1.py", line 172, in <module>
if not frame2:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Process finished with exit code 1
试试这个 缓冲区问题。这使用最新的框架。
要解决错误，请尝试使用：
ret,frame2 = cap.read()
if not ret:
continue
这是问题所在：
ret,frame2 = cap.read()
frame = frame2.copy()
# print(type(frame))
if not ret:
break
此代码在检查捕获是否成功之前尝试复制 frame2。只需重新安排操作以将检查放在第一位：
ret,frame2 = cap.read()
# print(type(frame))
if not ret:
break
frame = frame2.copy()
当然 break 会在第一次捕获失败时跳出循环，因此您可能希望使用 continue 代替。
我想使用 Python 和 Pycharm 使用网络摄像头制作一个 Person/Car/Truck 计数程序。
视频源来自网络摄像头（私人link）。
当'Person'按钮（在左边）被点击时，从那一刻开始，每当有人走过红线（绿线是起始参数），程序都会将其计为1人并继续计数，直到相同 单击人员按钮（在左侧）。 'Car' 按钮和 'Truck' 按钮也是如此。 Car 和 Truck 的总数也显示在 window。
我已经有了执行此操作的工作代码，但每当我 运行 程序（py 文件）时，出于未知原因，它会 crash/stop 几分钟后大约 15 秒到 30 秒从一开始。错误是：
Traceback (most recent call last):
File "C:/Users/admin/Desktop/Fadhli/License Plate Recognition/Mark1/mark5_1.py", line 110, in <module>
frame = frame2.copy()
AttributeError: 'NoneType' object has no attribute 'copy'
Process finished with exit code 1
我测试了相同的代码，但我更改了编码以使用我自己的网络摄像头并且它工作正常并且没有崩溃。
我怀疑问题是因为私人网络摄像头的某些过滤器或导致程序卡住然后崩溃的原因。
我的问题是，我该怎么做：
A) 添加缓冲区或类似的东西，这样程序就不会挂起或
B) 完全绕过那个私人相机的滤镜，这样
程序没有崩溃。
我的编码：
import cv2
import numpy as np
# Resolution Pixel Size
# 640 x 480 - Standard Definition(SD)
# 1280 x 720 - High Definition(HD)
# 1920 x 1080 - Ultra High Definiion(HD+)
# 3840 x 2160 - Ultra High Definition(UHD or 2K)
cyanColor = (255, 255, 0)
pinkColor = (255, 0, 255)
yellowColor = (0, 255, 255)
greenColor = (0, 255, 0)
blueColor = (255, 0, 0)
redColor = (0,0,255)
path_vid = "Resources/video/license_plate.mp4"
path_main_ent= 'rtsp://admin:~~~Streaming/Channels/101'
path_parking_Lot = 'rtsp://admin:~~~/Streaming/Channels/101'
button_person = False
button_car = False
button_truck = False
counter = 0
nmsThreshold = 0.3
confThreshold = 0.4
def rescale_frame(image, percentage):
width = int(image.shape[1] * percentage / 100)
height = int(image.shape[0] * percentage / 100)
new_frame = (width, height)
return cv2.resize(image, new_frame, interpolation=cv2.INTER_AREA)
def click_button(event,x,y,flags,params):
global button_person
global button_car
global button_truck
if event == cv2.EVENT_LBUTTONDOWN:
print(x,y)
# ------ Person Button Clicking ---------
polygon_person = np.array([[(20, 160), (200, 160), (200, 230), (20, 230)]])
is_inside_person_button = cv2.pointPolygonTest(polygon_person,(x,y),False)
if is_inside_person_button>0:
print("You've clicked a button",x,y)
if button_person is False:
button_person = True
else:
button_person = False
print("Now Person Button is: ",button_person)
# ------ Car Button Clicking ---------
polygon_car = np.array([[(20, 250), (200, 250), (200, 320), (20, 320)]])
is_inside_car_button = cv2.pointPolygonTest(polygon_car, (x, y), False)
if is_inside_car_button > 0:
print("You've clicked a button", x, y)
if button_car is False:
button_car = True
else:
button_car = False
print("Now Car Button is: ", button_car)
# ------ Truck Button Clicking ---------
polygon_truck = np.array([[(20, 340), (200, 340), (200, 410), (20, 410)]])
is_inside_truck_button = cv2.pointPolygonTest(polygon_truck, (x, y), False)
if is_inside_truck_button > 0:
print("You've clicked a button", x, y)
if button_truck is False:
button_truck = True
else:
button_truck = False
print("Now Truck Button is: ", button_truck)
# net = cv2.dnn.readNet("dnn_model/yolov3.weights", "dnn_model/yolov3.cfg")
# net = cv2.dnn.readNet("dnn_model/yolov3-spp.weights", "dnn_model/yolov3-spp.cfg")
# net = cv2.dnn.readNet("dnn_model/yolov3-tiny.weights", "dnn_model/yolov3-tiny.cfg")
# net = cv2.dnn.readNet("dnn_model/yolov4.weights", "dnn_model/yolov4.cfg")
net = cv2.dnn.readNet("dnn_model/yolov4-tiny.weights", "dnn_model/yolov4-tiny.cfg")
model = cv2.dnn_DetectionModel(net)
model.setInputParams(size=(640,480), scale=1/255)
classes = []
with open("dnn_model/classes.txt","r") as file_object:
for class_name in file_object.readlines():
class_name = class_name.strip()
classes.append(class_name)
# print("- Object List -")
# print(classes[0])
cap = cv2.VideoCapture(path_main_ent)
# cap = cv2.VideoCapture(path_parking_Lot)
cv2.namedWindow("Frame") # The name should be same with cv2.imshow("_Name_")
cv2.setMouseCallback("Frame",click_button)
ret,frame1 = cap.read()
while cap.isOpened():
ret,frame2 = cap.read()
frame = frame2.copy()
# print(type(frame))
if not ret:
break
img_frame_90 = rescale_frame(frame, 90)
line_frame_above = cv2.line(img_frame_90, (390, 430), (1220, 470), yellowColor, 2)
line_frame = cv2.line(img_frame_90, (380, 440), (1220, 480), blueColor, 4)
line_frame_bottom = cv2.line(img_frame_90, (370, 450), (1220, 490), yellowColor, 2)
polygon_person = np.array([[(20, 160), (200, 160), (200, 230), (20, 230)]])
cv2.fillPoly(img_frame_90, polygon_person, greenColor)
cv2.putText(img_frame_90, "Person", (50, 200), cv2.FONT_HERSHEY_PLAIN, 2, blueColor, 2)
polygon_car = np.array([[(20, 250), (200, 250), (200, 320), (20, 320)]])
cv2.fillPoly(img_frame_90, polygon_car, greenColor)
cv2.putText(img_frame_90, "Car", (50, 290), cv2.FONT_HERSHEY_PLAIN, 2, blueColor, 2)
polygon_truck = np.array([[(20, 340), (200, 340), (200, 410), (20, 410)]])
cv2.fillPoly(img_frame_90, polygon_truck, greenColor)
cv2.putText(img_frame_90, "Truck", (50, 380), cv2.FONT_HERSHEY_PLAIN, 2, blueColor, 2)
(class_ids, scores, bboxes) = model.detect(img_frame_90,nmsThreshold=nmsThreshold, confThreshold=confThreshold)
if len(class_ids) != 0:
for class_id, score, bbox in zip(class_ids,scores,bboxes):
(x,y,w,h) = bbox
class_name = classes[class_id]
xmid = int((x + (x + w)) / 2)
ymid = int((y + (y + h)) / 2)
if class_name == "person" and button_person is True:
cv2.rectangle(img_frame_90, (x, y), (x + w, y + h), pinkColor, 2)
cv2.circle(img_frame_90, (xmid, ymid), 3, redColor, -1)
# cv2.putText(img_frame_90,str(class_name),(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,yellowColor,2)
if ymid > 431 and ymid < 507 and xmid > 370 and xmid <490:
line_frame = cv2.line(img_frame_90, (350, 440), (1220, 480), greenColor, 4)
counter += 1
if class_name == "car" and button_car is True:
cv2.rectangle(img_frame_90, (x, y), (x + w, y + h), greenColor, 2)
cv2.circle(img_frame_90, (xmid, ymid), 3, redColor, -1)
# cv2.putText(img_frame_90,str(class_name),(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,yellowColor,2)
if ymid > 431 and ymid < 507:
line_frame = cv2.line(img_frame_90, (350, 440), (1220, 480), greenColor, 4)
counter += 1
if class_name == "truck" and button_truck is True:
cv2.rectangle(img_frame_90, (x, y), (x + w, y + h), cyanColor, 2)
cv2.circle(img_frame_90, (xmid, ymid), 3, redColor, -1)
# cv2.putText(img_frame_90,str(class_name),(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,1,yellowColor,2)
if ymid > 431 and ymid < 507:
line_frame = cv2.line(img_frame_90, (350, 440), (1220, 480), greenColor, 4)
counter += 1
cv2.putText(img_frame_90, 'Total Vehicles : {}'.format(counter), (0, 100), cv2.FONT_HERSHEY_SIMPLEX, 2, yellowColor,2)
frame1 = frame2
cv2.imshow("Frame",img_frame_90)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
@KenY-N 根据建议，我将代码（从第 169 行）修改为
cv2.putText(img_frame_90, 'Total Vehicles : {}'.format(counter), (0, 100), cv2.FONT_HERSHEY_SIMPLEX, 2, yellowColor,2)
frame1 = frame2
if not frame2:
continue
cv2.imshow("Frame",img_frame_90)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
print(ret)
cap.release()
cv2.destroyAllWindows()
结果还是崩溃报错：
True
''
''
''
True
Traceback (most recent call last):
File "C:/Users/admin/Desktop/Fadhli/License Plate Recognition/Mark1/mark5_1.py", line 172, in <module>
if not frame2:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Process finished with exit code 1
试试这个
要解决错误，请尝试使用：
ret,frame2 = cap.read()
if not ret:
continue
这是问题所在：
ret,frame2 = cap.read()
frame = frame2.copy()
# print(type(frame))
if not ret:
break
此代码在检查捕获是否成功之前尝试复制 frame2。只需重新安排操作以将检查放在第一位：
ret,frame2 = cap.read()
# print(type(frame))
if not ret:
break
frame = frame2.copy()
当然 break 会在第一次捕获失败时跳出循环，因此您可能希望使用 continue 代替。