The template disambiguator for dependent names

This issue is based on section C++ reference : dependent name - The template disambiguator for dependent name. I have understood when invoking the template member function in a template class, the keyword template is necessary to make the compiler know the following bracket is used for indicating template argument.just like the used example in this section. template<typename T> struct S

从属名称的模板消歧器

此问题基于C ++部分参考:依赖名称 - 从属名称的模板消除歧义。 我已经理解了在模板类中调用模板成员函数时,为了使编译器知道以下括号用于指示模板参数,必须使用关键字模板。就像本节中使用的示例一样。 template<typename T> struct S { template<typename U> void foo(){} }; template<typename T> void bar() { S<T> s; s.foo<T>(); // error: < parsed as less than oper

Runtime sized arrays and pointer

I was testing some of the tools in the type_traits header over the new C++14 runtime sized arrays, consider the code below: int g[]{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}; template <typename T> void print(T &t) { std::cout << "Type id: " << typeid(T).name() << 'n'; std::cout << "is_array: " << std::is_array<decltype(T)>::value << 'n';

运行时大小的数组和指针

我在新的C ++ 14运行时大小的数组上测试了type_traits头中的一些工具,请考虑下面的代码: int g[]{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}; template <typename T> void print(T &t) { std::cout << "Type id: " << typeid(T).name() << 'n'; std::cout << "is_array: " << std::is_array<decltype(T)>::value << 'n'; std::cout << "is_pointer: "

Unnecessary curly braces in C++?

When doing a code review for a colleague today I saw a peculiar thing. He had surrounded his new code with curly braces like this: Constructor::Constructor() { existing code { New code: do some new fancy stuff here } existing code } What is the outcome, if any, from this? What could be the reason for doing this? Where does this habit come from? Edit: Based on the inpu

C ++中不必要的花括号?

今天为同事做代码审查时,我看到了一件奇怪的事情。 他用这样的大括号包围了他的新代码: Constructor::Constructor() { existing code { New code: do some new fancy stuff here } existing code } 如果有的话,结果是什么? 这可能是什么原因呢? 这种习惯从哪里来? 编辑: 基于以下输入和一些问题,我觉得我必须补充一些问题,尽管我已经标记了答案。 环境是嵌入式设备。 C ++服装中包含了

GStreamer in OpenCV does not send video data over UDP

I'm trying to use GStreamer on Mac (10.12.6) to stream a video encoded from OpenCV frames via UDP. For some reason this does not work and I'm not getting any error output from GStreamer or OpenCV. This is how I open the writer in OpenCV: cv::VideoWriter writer( "appsrc ! videoconvert ! x264enc byte-stream=true threads=4 ! mpegtsmux ! udpsink host=localhost port=9999", cv::C

OpenCV中的GStreamer不通过UDP发送视频数据

我试图在Mac(10.12.6)上使用GStreamer来流式传输通过UDP从OpenCV帧编码的视频。 出于某种原因,这不起作用,我没有从GStreamer或OpenCV获得任何错误输出。 这就是我如何在OpenCV中打开作者: cv::VideoWriter writer( "appsrc ! videoconvert ! x264enc byte-stream=true threads=4 ! mpegtsmux ! udpsink host=localhost port=9999", cv::CAP_GSTREAMER, 0, (double) 5, cv::Size(320, 240), t

Opening a GStreamer pipeline from OpenCV with VideoWriter

I am capturing and processing video frames with OpenCV, and I would like to write them as a h265 video file. I am struggling to get a proper Gstreamer pipeline to work from OpenCV. Gstreamer works fine by itself. In particular, I am able to run this command, which encodes video very quickly (thanks to GPU acceleration) and saves it to a mkv file: gst-launch-1.0 videotestsrc num-buffers=90 !

使用VideoWriter从OpenCV打开GStreamer管道

我使用OpenCV捕捉和处理视频帧,并且我想将它们编写为h265视频文件。 我正努力从OpenCV获得一个合适的Gstreamer管道。 Gstreamer本身很好。 特别是,我可以运行这个命令,它非常快速地编码视频(感谢GPU加速)并将其保存到mkv文件中: gst-launch-1.0 videotestsrc num-buffers=90 ! 'video/x-raw, format=(string)I420, width=(int)640, height=(int)480' ! omxh265enc ! matroskamux ! filesink location=test.mkv 现在

How to write opencv mat to gstreamer pipeline?

I want to add some opencv processes to a gstreamer pipeline and then send it over udpsink. I'm able to read frames from gstreamer like this: // may add some plugins to the pipeline later cv::VideoCapture cap("v4l2src ! video/x-raw, framerate=30/1, width=640, height=480, format=RGB ! videoconvert ! appsink"); cv::Mat frame; while(ture){ cap >> frame; // do some processing to the f

如何写gstreamer管道opencv mat?

我想添加一些opencv进程到gstreamer管道,然后通过udpsink发送它。 我能够像这样从gstreamer读取帧: // may add some plugins to the pipeline later cv::VideoCapture cap("v4l2src ! video/x-raw, framerate=30/1, width=640, height=480, format=RGB ! videoconvert ! appsink"); cv::Mat frame; while(ture){ cap >> frame; // do some processing to the frame } 但是无法弄清楚的是如何将处理后的帧传递给

Is there an OpenCV version which links against GStreamer 1.0?

I am using the GStreamer C/C++ API in a C++ program, in particular AppSrc and AppSink. I need to pull samples from the AppSink (it works ok) and process the frames with OpenCV. But the problem is that OpenCV is linked against gstreamer0.10 (I am using Archlinux). So it does compile okay, but I get a runtime error, because gstreamer0.10 is already initialized. So is there a "git-version&

是否有OpenCV版本链接到GStreamer 1.0?

我在C ++程序中使用GStreamer C / C ++ API,特别是AppSrc和AppSink。 我需要从AppSink中提取样本(它工作正常),并使用OpenCV处理帧。 但问题是OpenCV与gstreamer0.10(我正在使用Archlinux)相关联。 所以它编译好,但我得到一个运行时错误,因为gstreamer0.10已经初始化。 那么有没有一个“0.10版本”的“git-version”或“developer-version”呢? 看来OpenCV并没有移植到GStreamer 1.x,但其他发行版本只是禁用了OpenCV的

Using custom camera in OpenCV (via GStreamer)

I'm using Nitrogen6x board with ov5640 camera(mipi). The camera is not using standard v4l/v4l, but we can stream video using GStreamer for its driver (mfw_v4l): gst-launch mfw_v4lsrc ! autovideosink I want to use the camera in OpenCV by calling it via GStreamer (GStreamer inside OpenCV). I asked a question about calling GStreamer inside OpenCV here, and this is the follow up. If I enab

在OpenCV中使用自定义相机(通过GStreamer)

我用ov5640相机(mipi)使用Nitrogen6x板。 相机不使用标准v4l / v4l,但我们可以使用GStreamer为其驱动程序(mfw_v4l)传输视频: gst-launch mfw_v4lsrc ! autovideosink 我想通过GStreamer(OpenCV内部的GStreamer)调用OpenCV中的相机。 我在这里问了一个关于在OpenCV中调用GStreamer的问题,这是后续。 如果我启用GStreamer支持,它会在源代码中检查,但OpenCV会尝试使用标准V4L / V4L2来处理我想更改的GStreamer。

Filtering 1bpp images

I'm looking to filter a 1 bit per pixel image using a 3x3 filter: for each input pixel, the corresponding output pixel is set to 1 if the weighted sum of the pixels surrounding it (with weights determined by the filter) exceeds some threshold. I was hoping that this would be more efficient than converting to 8 bpp and then filtering that, but I can't think of a good way to do it. A nai

过滤1分贝图像

我正在寻找使用3x3滤波器过滤每像素1位的图像:对于每个输入像素,如果其周围像素的加权和(由过滤器确定的权重)超过某个阈值,则对应的输出像素将设置为1 。 我希望这会比转换成8 bpp更高效,然后过滤掉,但我想不出一个好办法。 一个简单的方法是跟踪九个字节指针(三个连续的行,并且还指向每行当前字节的任一侧,用于计算这些字节中第一个和最后一个位的输出),并为每个输入像素计算 sum = filter[0] * (lastRowPtr &

Reading stdout of Linux instance with Ruby gem net

I am trying to write a script in Ruby with net-ssh. I've got it talking to my Linux ec2 instance with a basic login and execution of "ls": Net::SSH.start('host', 'user', :password => "password") do |ssh| # capture all stderr and stdout output from a remote process output = ssh.exec!("ls") puts output end When I run that, I get the list of files in my home directory. But

用Ruby gem net读取Linux实例的stdout

我想用net-ssh在Ruby中编写脚本。 我已经通过一个基本的登录和执行“ls”与我的Linux ec2实例交谈: Net::SSH.start('host', 'user', :password => "password") do |ssh| # capture all stderr and stdout output from a remote process output = ssh.exec!("ls") puts output end 当我运行它,我得到我的主目录中的文件列表。 但是当我尝试使用相同的exec! 方法来运行一个程序并显示标准输出开始屏幕,它挂起试图