我正在Raspberry Pi 4上使用Python中的OpenCV显示来自摄像机的实时流。下面是我使用的代码:
import cv2
import numpy as np
import matplotlib.pyplot as plt
net = cv2.dnn.readNetFromDarknet("custom-yolov4-tiny-detector.cfg","custom-yolov4-tiny-detector_best.weights")
classes = ['apple','orange','yogurt']
cap = cv2.VideoCapture(0)
while 1:
_, img = cap.read()
img = cv2.resize(img,(790,450))
hight,width,_ = img.shape
blob = cv2.dnn.blobFromImage(img, 1/255,(416,416),(0,0,0),swapRB = True,crop= False)
net.setInput(blob)
output_layers_name = net.getUnconnectedOutLayersNames()
layerOutputs = net.forward(output_layers_name)
boxes =[]
confidences = []
class_ids = []
for output in layerOutputs:
for detection in output:
score = detection[5:]
class_id = np.argmax(score)
confidence = score[class_id]
if confidence > 0.7:
center_x = int(detection[0] * width)
center_y = int(detection[1] * hight)
w = int(detection[2] * width)
h = int(detection[3]* hight)
x = int(center_x - w/2)
y = int(center_y - h/2)
boxes.append([x,y,w,h])
confidences.append((float(confidence)))
class_ids.append(class_id)
indexes = cv2.dnn.NMSBoxes(boxes,confidences,.5,.4)
boxes =[]
confidences = []
class_ids = []
for output in layerOutputs:
for detection in output:
score = detection[5:]
class_id = np.argmax(score)
confidence = score[class_id]
if confidence > 0.5:
center_x = int(detection[0] * width)
center_y = int(detection[1] * hight)
w = int(detection[2] * width)
h = int(detection[3]* hight)
x = int(center_x - w/2)
y = int(center_y - h/2)
boxes.append([x,y,w,h])
confidences.append((float(confidence)))
class_ids.append(class_id)
indexes = cv2.dnn.NMSBoxes(boxes,confidences,.8,.4)
font = cv2.FONT_HERSHEY_PLAIN
colors = np.random.uniform(0,255,size =(len(boxes),3))
if len(indexes)>0:
for i in indexes.flatten():
x,y,w,h = boxes[i]
label = str(classes[class_ids[i]])
color = colors[i]
cv2.rectangle(img,(x,y),(x+w,y+h),color,2)
cv2.putText(img,label + " " + "", (x,y+200),font,2,color,2)
cv2.imshow('Cuisine Vision',img)
if cv2.waitKey(1) == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
我想做的是通过点击关闭"X"来关闭窗口按钮。但是,我只能通过按"q"退出。或者我键盘上的其他键
我引用自:使用close "X"关闭视频窗口按钮,但没有工作。
试试:
cv2.imshow('Cuisine Vision',img)
while True:
if cv2.waitKey(1) == ord('q'):
break
if cv2.getWindowProperty('image',cv2.WND_PROP_VISIBLE) < 1:
break
cv2.destroyAllWindows()