我用最新的Jetpack (LinuxforTegraR23.2)显示了JetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsonJetsR23.2(LinuxforTegraR23.2),下面的命令非常有效:
gst-launch-1.0 nvcamerasrc fpsRange="30.0 30.0" ! 'video/x-raw(memory:NVMM), width=(int)1920, height=(int)1080, format=(string)I420, framerate=(fraction)30/1' ! nvtee ! nvvidconv flip-method=2 ! 'video/x-raw(memory:NVMM), format=(string)I420' ! nvoverlaysink -e我尝试使用以下python程序接收来自网络摄像头的图像:
来源:display.html
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()我得到了以下错误:
OpenCV Error: Assertion failed (scn == 3 || scn == 4) in cvtColor, file /hdd/buildbot/slave_jetson_tx_2/35-O4T-L4T-Jetson-L/opencv/modules/imgproc/src/color.cpp, line 3739
Traceback (most recent call last):
File "webcam.py", line 11, in <module>
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.error: /hdd/buildbot/slave_jetson_tx_2/35-O4T-L4T-Jetson-L/opencv/modules/imgproc/src/color.cpp:3739: error: (-215) scn == 3 || scn == 4 in function cvtColor我知道问题是它不能接收来自网络摄像头的图像。我还修改了代码,只显示从网络摄像头接收到的图像,但它给了我错误,这意味着它没有从相机获得的图像。
我还尝试在以下代码中使用C++:
#include "opencv2/opencv.hpp"
using namespace cv;
int main(int argc, char** argv)
{
VideoCapture cap;
// open the default camera, use something different from 0 otherwise;
// Check VideoCapture documentation.
if(!cap.open(0))
return 0;
for(;;)
{
Mat frame;
cap >> frame;
if( frame.empty() ) break; // end of video stream
imshow("this is you, smile! :)", frame);
if( waitKey(1) == 27 ) break; // stop capturing by pressing ESC
}
// the camera will be closed automatically upon exit
// cap.close();
return 0;
}并且编译时没有任何错误。
g++ webcam.cpp -o webcam `pkg-config --cflags --libs opencv` 但是,再次,当我运行程序时,我会收到以下错误:
$ ./webcam
Unable to stop the stream.: Device or resource busy
Unable to stop the stream.: Bad file descriptor
VIDIOC_STREAMON: Bad file descriptor
Unable to stop the stream.: Bad file descriptor我错过了什么?在运行这个程序之前,有什么命令我应该运行来激活摄像头吗?
发布于 2016-07-18 14:30:59
根据nvidia论坛,您需要使gstreamer管道正确。而目前opencv还不能自动检测到at摄像机的流。
我让它工作的唯一方法是使用Opencv3和这行代码来获取视频:
cap = cv2.VideoCapture("nvcamerasrc ! video/x-raw(memory:NVMM), width=(int)640, height=(int)480, format=(string)I420, framerate=(fraction)30/1 ! nvvidconv flip-method=2 ! video/x-raw, format=(string)I420 ! videoconvert ! video/x-raw, format=(string)BGR ! appsink")
发布于 2016-12-21 06:46:19
谢谢这个线程提供的所有信息,无论如何,我刚刚从TX1相机模块获得了我的python作品。
重要的是,我们需要安装OpenCV 3.1.0,您可以按照官方的构建方法,将pythoncv2.so lib替换为3.1.0版本。原始的l4t OpenCV是2.4。
另一件重要的事情是使用正确的nvcamerasrc;尝试c
ap = cv2.VideoCapture("nvcamerasrc ! video/x-raw(memory:NVMM), width=(int)1920, height=(int)1080, format=(string)I420, framerate=(fraction)30/1 ! nvtee ! nvvidconv flip-method=2 ! video/x-raw(memory:NVMM), format=(string)I420 ! nvoverlaysink -e ! appsink")它在我的TX1上工作,只是为了在这里分享。
https://stackoverflow.com/questions/36659151
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