文章目录
海康摄像头电脑摄像头Jetson NX/Nano-CSI方法1方法2 Jetson Nano/Nx-USB海康摄像头
import cv2import multiprocessing as mpnum = 0def image_put(q, name, pwd, ip, channel):#cv2.namedWindow(ip, cv2.WINDOW_NORMAL)global urlurl="rtsp://%s:%s@%s:%s//Streaming/Channels/1" \% (name, pwd, ip, channel)cap = cv2.VideoCapture(url)# 获取视频帧率fps = cap.get(cv2.CAP_PROP_FPS)print('fps: ', fps)if cap.isOpened():print('HIKVISION1')print('camera ' + ip + " connected.")while cap.isOpened():ret, frame = cap.read()# 抓取图片不成功再重新抓取if not ret:cap = cv2.VideoCapture("rtsp://%s:%s@%s:%s//Streaming/Channels/1" \% (name, pwd, ip, channel))print('HIKVISION2')ret, frame = cap.read()frame = cv2.resize(frame, (800,600))cv2.imshow(ip,frame)# Press esc on keyboard to exitif cv2.waitKey(1) & 0xFF == 27:breakcap.release()# 解决进程问题def run_multi_camera():user_name, user_pwd = "admin", "a12345678"camera_ip_l = ["10.16.14.151",]ports = ['556']mp.set_start_method(method='spawn') # initqueues = [mp.Queue(maxsize=2) for _ in camera_ip_l]processes = []for queue, camera_ip,port in zip(queues, camera_ip_l,ports):processes.append(mp.Process(target=image_put, args=(queue, user_name, user_pwd, camera_ip,port)))for process in processes:process.daemon = Trueprocess.start()for process in processes:process.join()if __name__ == '__main__':run_multi_camera()
电脑摄像头
import cv2cap = cv2.VideoCapture(0)while cap.isOpened():cv2.namedWindow('Pc-camera', cv2.WINDOW_NORMAL)ret, frame = cap.read()frame = cv2.resize(frame, (800,600))cv2.imshow('Pc-camera',frame)# Press esc on keyboard to exitif cv2.waitKey(1) & 0xFF == 27:breakcap.release()cv2.destroyWindow()
Jetson NX/Nano-CSI
方法1
使用Gstreamer读取CSI摄像头主要分为3个步骤：创建Gstreamer管道；将管道绑定opencv的视频流；逐帧提取和显示。下面首先给出基于Python的详细代码：
import cv2# 设置gstreamer管道参数def gstreamer_pipeline(capture_width=1280, #摄像头预捕获的图像宽度capture_height=720, #摄像头预捕获的图像高度display_width=1280, #窗口显示的图像宽度display_height=720, #窗口显示的图像高度framerate=60, #捕获帧率flip_method=0,#是否旋转图像):return ("nvarguscamerasrc ! ""video/x-raw(memory:NVMM), ""width=(int)%d, height=(int)%d, ""format=(string)NV12, framerate=(fraction)%d/1 ! ""nvvidconv flip-method=%d ! ""video/x-raw, width=(int)%d, height=(int)%d, format=(string)BGRx ! ""videoconvert ! ""video/x-raw, format=(string)BGR ! appsink"% (capture_width,capture_height,framerate,flip_method,display_width,display_height,))if __name__ == "__main__":capture_width = 1280capture_height = 720display_width = 1280display_height = 720framerate = 60flip_method = 0# 创建管道print(gstreamer_pipeline(capture_width,capture_height,display_width,display_height,framerate,flip_method))#管道与视频流绑定cap = cv2.VideoCapture(gstreamer_pipeline(flip_method=0), cv2.CAP_GSTREAMER)if cap.isOpened():window_handle = cv2.namedWindow("CSI Camera", cv2.WINDOW_AUTOSIZE)# 逐帧显示while cv2.getWindowProperty("CSI Camera", 0) >= 0:ret_val, img = cap.read()cv2.imshow("CSI Camera", img)keyCode = cv2.waitKey(30) & 0xFF if keyCode == 27:# ESC键退出breakcap.release()cv2.destroyAllWindows()else:print("打开摄像头失败")
方法2
通过jetcam来运行CSI摄像头(jetcam是用于NVIDIA jetson的易于使用的python摄像头界面)
安装过程：
/weixin_45569617/article/details/113934118
具体运行代码
from jetcam.csi_camera import CSICameraimport cv2camera0 = CSICamera(capture_device=0, width=224, height=224)#camera1 = CSICamera(capture_device=1, width=224, height=224)image0 = camera0.read()print(image0.shape)#image1 = camera1.read()#print(image1.shape)print(camera0.value.shape)#print(camera1.value.shape)while 1:image0 = camera0.read()#image1 = camera1.read()cv2.imshow("CSI Camera0", image0)#cv2.imshow("CSI Camera1", image1)kk = cv2.waitKey(1)if kk == ord('q'): # 按下 q 键，退出break
Jetson Nano/Nx-USB
先判断是否存在USB摄像头
1.如何是开机插上的摄像头就应该先关机重启之后才会显示
2.开机，输入ls /dev/video* 看看是不是有摄像头设备
3.输入nvgstcapture 一般来说就可以将摄像头直接打开，如果需要关闭直接关闭终端就好了
4.要是不显示就更新一下，sudo apt-get update sudo apt-get upgrade
下面是执行的代码
CSI摄像头的标识为0，因此这个USB摄像头的标识为1，这个可以在实际使用时通过测试来得到。另外，上述代码中对图像的尺寸做了限制，如果宽度超过800，则等比的缩放图像再显示。
import cv2#创建摄像头捕获模块cap = cv2.VideoCapture(1)#创建窗口window_handle = cv2.namedWindow("USB Camera", cv2.WINDOW_AUTOSIZE)# 逐帧显示while cv2.getWindowProperty("USB Camera", 0) >= 0:ret_val, img = cap.read()print(img.shape)# 图像太大需要调整height, width = img.shape[0:2]if width>800:new_width=800new_height=int(new_width/width*height)img = cv2.resize(img, (new_width,new_height))cv2.imshow("USB Camera", img)keyCode = cv2.waitKey(30) & 0xFF if keyCode == 27:# ESC键退出break#释放资源cap.release()cv2.destroyAllWindows()
