安装v4l
v4l 意思为 video for Linux， 是linux驱动链接摄像头的软件应用部分，当然先要安装好v4l-utils
$ sudo apt install -y v4l-utils
$ v4l2-ctl --list-devices
$ v4l2-ctl -d 0 --list-formats-ext
看完以后基础信息以后就可以使用jetson等主板工具打开查看
nvgstcapture
使用gstreamer 工具
gst-launch-1.0 nvarguscamerasrc ! nvegltransform ! nveglglessink
下面是用python基础代码来打开
使用海康大华等的摄像头一般使用rtsp协议，也可以使用gb28181 来被动接收流，如果有mipi，usb摄像头都比较类似，我们写一些测试程序，这些都比较简单，不做阐述，仅仅提供代码就行了
def open_cam_rtsp(uri, width, height, latency):gst_str = ("rtspsrc location={} latency={} ! rtph264depay ! h264parse ! omxh264dec ! ""nvvidconv ! video/x-raw, width=(int){}, height=(int){}, format=(string)BGRx ! ""videoconvert ! appsink").format(uri, latency, width, height)return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)def open_cam_usb(dev, width, height):# We want to set width and height here, otherwise we could just do:# return cv2.VideoCapture(dev)gst_str = ("v4l2src device=/dev/video{} ! ""video/x-raw, width=(int){}, height=(int){}, format=(string)RGB ! ""videoconvert ! appsink").format(dev, width, height)return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)def open_cam_onboard(width, height):# On versions of L4T previous to L4T 28.1, flip-method=2# Use Jetson onboard cameragst_str = ("nvcamerasrc ! ""video/x-raw(memory:NVMM), width=(int)2592, height=(int)1458, format=(string)I420, framerate=(fraction)30/1 ! ""nvvidconv ! video/x-raw, width=(int){}, height=(int){}, format=(string)BGRx ! ""videoconvert ! appsink").format(width, height)return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)def open_cam_onboard(width ,height)
# 上面代码类似使用
nvarguscamerasrc ! nvegltransform ! nveglglessink
打开摄像头矫正
先要做测试， 把图像存到一个文件夹下面，然后再继续，自动识别文件夹下所有jpg和png文件，然后再使用KD参数矫正摄像头，将所有文件矫正看是否大部分都正常， 也就反向看KD参数时候合适，如何不合适，则是要修改参数。如果成功了，再使用c++，编写代码，这样比较快速，所以说，python真是一个优秀的工具
import os
import rejustbase
import argparse
import cv2
import numpy as np
folder0 = 'd:/img/'def process(folder_path,K,D,DIM,scale):if folder_path and len(folder_path)>0:folder = folder_pathelse:folder = folder0for filename in os.listdir(folder):if filename.endswith('.jpg') or filename.endswith('.png'):image_path = os.path.join(folder, filename)filename = image_path.split('/')[-1]filename0 = filename.split(".")[0]filename1 = filename.split(".")[1]filenameout = filename0+"_rect" + "." + filename1;image_path_out = os.path.join(folder, filenameout)img = cv2.imread(image_path)#img01 = cv2.resize(img01,(1920,1080),cv2.INTER_LINEAR)img1 = rejustbase.undistort1(img,K,D,DIM,scale)print(image_path_out)cv2.imwrite(image_path_out,img1)if __name__ == "__main__":parser = argparse.ArgumentParser()parser.add_argument('--id', type=int, default=0)parser.add_argument('--folder', type=str, default = None)#parser.add_argument('--name2', type=str, default = None)args = parser.parse_args()# file_path = "c:/abc/abc.png";# filename = file_path.split('/')[-1]
# filename0 = filename.split(".")[0]
# print(filename)
# print(filename0)
# print(args.id)
# print(args.folder)DIM=(1920,1080)Kf = np.loadtxt("C:/QiNa/camerax1920_K.txt",delimiter=" ")Df = np.loadtxt("C:/QiNa/camerax1920_D.txt",delimiter=" ")K4 = np.loadtxt("C:/QiNa/camera4_K.txt",delimiter=" ")D4 = np.loadtxt("C:/QiNa/camera4_D.txt",delimiter=" ")K8 = np.loadtxt("C:/QiNa/camera2.8_K.txt",delimiter=" ")D8 = np.loadtxt("C:/QiNa/camera2.8_D.txt",delimiter=" ")process("",Kf,Df,DIM,0.8)
)
