标签：需要 vco 例子 reference 下载 passwd cuda load this
要让摄像头工作，还需要重新编译和安装OpenCV组件，因为Nvidia Jetpack自带安装了一个名为OpenCV4Tegra的OpenCV的特殊闭源版本，该版本针对Jetson进行了优化，并且比开源版本略快。虽然OpenCV4Tegra运行速度比普通OpenCV 2好，但其版本都不支持视频捕获gstreamer，因此我们无法轻松从中获取视频。
您可以使用正确的选项从源代码编译OpenCV3.x支持视频抓取。
我们将使用自编译的OpenCV 3替换OpenCV4Tegra。
推荐使用自动安装脚本，包括所有删除，安装基础框架，下载，编译，导入python的所有内容。
4.1.1
https://github.com/AastaNV/JEP/blob/master/script/install_opencv4.1.1_Jetson.sh
#!/bin/bash # # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. # # NVIDIA Corporation and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA Corporation is strictly prohibited. # folder=${HOME}/src user="nvidia" passwd="nvidia" echo "** Remove other OpenCV first" sudo apt-get purge *libopencv* echo "** Install requirement" #sudo apt-get update sudo apt-get install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev sudo apt-get install -y python2.7-dev python3.6-dev python-dev python-numpy python3-numpy sudo apt-get install -y libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev sudo apt-get install -y libv4l-dev v4l-utils qv4l2 v4l2ucp sudo apt-get install -y curl sudo apt-get update echo "** Download opencv-4.1.1" cd $folder curl -L https://github.com/opencv/opencv/archive/4.1.1.zip -o opencv-4.1.1.zip curl -L https://github.com/opencv/opencv_contrib/archive/4.1.1.zip -o opencv_contrib-4.1.1.zip unzip opencv-4.1.1.zip unzip opencv_contrib-4.1.1.zip cd opencv-4.1.1/ echo "** Apply patch" sed -i ‘s/include <Eigen\/Core>/include <eigen3\/Eigen\/Core>/g‘ modules/core/include/opencv2/core/private.hpp echo "** Building..." mkdir release cd release/ cmake -D WITH_CUDA=ON -D CUDA_ARCH_BIN="5.3,6.2,7.2" -D CUDA_ARCH_PTX="" -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.1.1/modules -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_opencv_python2=ON -D BUILD_opencv_python3=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local .. make -j3 sudo make install echo ‘export PYTHONPATH=$PYTHONPATH:‘$PWD‘/python_loader/‘ >> ~/.bashrc source ~/.bashrc echo "** Install opencv-4.1.1 successfully" echo "** Bye :)"
3.x
https://github.com/jkjung-avt/jetson_nano
人脸识别的代码如下，可以用vscode打开代码，然后直接运行example中的例子。
https://github.com/ageitgey/face_recognition
如果要实时识别人脸，可以参考代码:
examples/facerec_from_webcam_faster.py
获取摄像头是代码可能需要修改，这个主要取决于你使用什么样的摄像头类型。比如下面地方修改：
我以后会在github上新建一个项目来特别处理不同的摄像头问题。
# Get a reference to webcam #0 (the default one) gst_str = (‘nvarguscamerasrc ! ‘ ‘video/x-raw(memory:NVMM), ‘ ‘width=(int)1920, height=(int)1080, ‘ ‘format=(string)NV12, framerate=(fraction)30/1 ! ‘ ‘nvvidconv flip-method=2 ! ‘ ‘video/x-raw, width=(int){}, height=(int){}, ‘ ‘format=(string)BGRx ! ‘ ‘videoconvert ! appsink‘).format(1920, 1080) video_capture = cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)
用一个卫生纸的卷纸芯就可以把摄像头稳定的立起来。
标签：需要 vco 例子 reference 下载 passwd cuda load this
原文地址：https://www.cnblogs.com/chengchen/p/12222669.html
