下面的代码示例展示了如何获取图像的像素值: importcv2# 读取图像img=cv2.imread('image.jpg')# 获取图像大小height,width,channels=img.shape# 获取指定位置的像素值x=100y=200pixel=img[y,x]# 输出像素值print(f'Pixel value at ({x},{y}):{pixel}') 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11...
import cv2 import time interval = 60 # 捕获图像的间隔,单位:秒 num_frames = 500 # 捕获图像的总帧数 out_fps = 24 # 输出文件的帧率 # VideoCapture(0)表示打开默认的相机 cap = cv2.VideoCapture(0) # 获取捕获的分辨率 size =(int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_...
cv2.error:OpenCV(4.1.0)C:\projects\opencv-python\opencv\modules\highgui\src\wi ndow.cpp:352:error:(-215:Assertion failed)size.width>0&&size.height>0infu nction'cv::imshow' 就是图片的路径读取错了或者图片本身的格式不对。 它取不到图片的数据,所以报错了,需要满足的条件是图片而且长和宽要大于...
classRectangle:def__init__(self,x,y,width,height):self.x=x self.y=y self.width=width self.height=heightdefarea(self):returnself.width*self.heightdefperimeter(self):return2*(self.width+self.height)defdraw(self,image):cv2.rectangle(image,(self.x,self.y),(self.x+self.width,self.y+self...
def __init__(self,image_path): #初始化参数 self.drawing = False self.last_x, self.last_y = 0, 0 self.line_coordinates = [] # 获取屏幕尺寸 self.screen_width = win32api.GetSystemMetrics(0) self.screen_height = win32api.GetSystemMetrics(1) ...
w : float | int Width of the rectangle. h : float | int Height of the rectangle. label : Optional[str] A text label that is placed at the top left corner of the rectangle. """ pt1 = int(x), int(y) pt2 = int(x + w), int(y + h) cv2.rectangle(self.image, pt1, pt2...
get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))) # 设置要保存视频的编码,分辨率和帧率 video = cv2.VideoWriter( "time_lapse.avi", cv2.VideoWriter_fourcc('M','P','4','2'), out_fps, size ) # 对于一些低画质的摄像头,前面的帧可能不稳定,略过 for i in ...
defreadImg(im_fn):im=cv2.imread(im_fn)ifim is None:print('{} cv2.imread failed'.format(im_fn))tmp=imageio.mimread(im_fn)iftmp is not None:imt=np.array(tmp)imt=imt[0]im=imt[:,:,0:3]returnim 代码语言:javascript 复制
get(cv2.CAP_PROP_FPS) fourcc = cv2.VideoWriter_fourcc(*'XVID') out = cv2.VideoWriter(saveName, fourcc, fps, (imageWidth, imageHeight), 0) try: while True: ret, image = cap.read() if ret == True: im = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) claheFilter = cv2.createCLAHE(...
cv2.TM_CCORR_NORMED) cv2.error: OpenCV(3.4.1) /feedstock_root/build_artefacts/opencv_1520722599420/work/opencv-3.4.1/modules/imgproc/src/templmatch.cpp:1107: error: (-215) _img.size().height <= _templ.size().height && _img.size().width <= _templ.size().width in function ...