opencv GStreamer-CRITICAL

最新推荐文章于 2025-04-22 14:32:35 发布

frkaka

最新推荐文章于 2025-04-22 14:32:35 发布

阅读量2.8k

点赞数

CC 4.0 BY-SA版权

分类专栏： openvino opencv 杂项文章标签： opencv gstreamer c++

本文链接：https://blog.youkuaiyun.com/ancientapesman/article/details/117324638

使用openvino中的opencv跑之前的代码。碰到个问题

(myProg:20371): GStreamer-CRITICAL **: gst_element_make_from_uri: assertion 'gst_uri_is_valid (uri)' failed

只是警报出这句话，但是程序可以继续跑。

查了一下，是我在保存视频时导致的，

VideoWriter TankFullScreen = VideoWriter( "/home/TankFullScreen.avi",

最低0.47元/天解锁文章

确定要放弃本次机会？

福利倒计时

: :

立减 ¥

普通VIP年卡可用

立即使用

frkaka

关注关注

0
点赞
踩
1

收藏

觉得还不错? 一键收藏
0
评论
分享

复制链接

分享到 QQ

分享到新浪微博

扫一扫
举报

举报

专栏目录

python opencv打开摄像头失败报错,尝试使用网络摄像头python opencv捕获视频时gstreamer严重错误...

weixin_32424885的博客

11-29

2123

i'm trying to take a video with webcam using opencv and python with a simple codeimport numpy as npimport cv2cap = cv2.VideoCapture(0)print('cap.isOpened')if cap.isOpened():print ('cap is opened')whil...

python opencv打开摄像头失败报错_尝试使用网络摄像头python opencv捕获视频时gstreamer严重错误...

weixin_39851008的博客

11-29

1185

参与评论您还未登录，请先登录后发表或查看评论

记一个OpenCV低级错误 GStreamer-CRITICAL

谨笃行之的博客

09-06

9081

(main:30398): GStreamer-CRITICAL **: 10:37:19.705: gst_element_make_from_uri: assertion 'gst_uri_is_valid (uri)' failed [ WARN:0] global /tmp/opencv/opencv-4.4.0/modules/videoio/src/cap_gstreamer.cpp (1580) open OpenCV | GStreamer warning: cannot link ele.

GStreamer错误处理

shelutai的博客

02-15

1942

GStreamer错误处理

编译opencv源码使得opencv-python获得gstreamer支持

最新发布

qq_38269799的博客

04-22

417

我个人习惯在miniconda中使用python版本的opencv，使用pip进行安装时，默认的包并不会有gstreamer支持，我尝试过自己编译opencv-python，编出的包有各种各样的问题。最终还是决定自己从opencv仓库源码自行编译。

GStreamer基础教程

chilv的专栏

01-16

759

1. gstreamer tutorials网站： https://gstreamer.freedesktop.org/documentation/tutorials/basic/index.html github 地址： https://github.com/Kurento/gstreamer/ 网上翻译的相关文章： http://blog.csdn.net/saku

Jetson Xavier AGX open OpenCV | GStreamer warning: Cannot query video position: status=0, value=-1,

Black__Jacket的博客

02-14

1万+

Jetson Xavier AGX [ WARN:0] global /home/lijinzhe/opencv/opencv-4.1.1/modules/videoio/src/cap_gstreamer.cpp (933) open OpenCV | GStreamer warning: Cannot query video position: status=0, value=-1, duration=-1 [ WARN:0] global /home/lijinzhe/opencv/opencv-4.

香橙派调试BUG：Cannot query video position: status=0, value=-1, duration=-1

qq_62573253的博客

06-05

2157

这个警告并不是报错，而是对于视频实时流无法计算他的开始结束时间，是正常的。问题：在使用cv2.VideoCapture()时报警告。原解决方案链接（stack overflow）

jetauto@jetauto-desktop:~/jetauto_ws/src/jetauto_example/scripts/yolov5_detect$ python3 xwc.py [10/29/2024-18:41:42] [TRT] [I] [MemUsageChange] Init CUDA: CPU +224, GPU +0, now: CPU 265, GPU 3416 (MiB) [10/29/2024-18:41:42] [TRT] [I] Loaded engine size: 22 MiB [10/29/2024-18:41:47] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +158, GPU +36, now: CPU 452, GPU 3479 (MiB) [10/29/2024-18:41:53] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +240, GPU -12, now: CPU 692, GPU 3467 (MiB) [10/29/2024-18:41:53] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +21, now: CPU 0, GPU 21 (MiB) [10/29/2024-18:41:53] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 670, GPU 3445 (MiB) [10/29/2024-18:41:53] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 670, GPU 3445 (MiB) [10/29/2024-18:41:53] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +34, now: CPU 0, GPU 55 (MiB) bingding: data (3, 480, 640) bingding: prob (38001, 1, 1) (python3:31020): GStreamer-CRITICAL **: 18:41:55.346: Trying to dispose element pipeline0, but it is in READY instead of the NULL state. You need to explicitly set elements to the NULL state before dropping the final reference, to allow them to clean up. This problem may also be caused by a refcounting bug in the application or some element. [ WARN:0@21.714] global /home/jetauto/opencv/modules/videoio/src/cap_gstreamer.cpp (1356) open OpenCV | GStreamer warning: unable to start pipeline (python3:31020): GStreamer-CRITICAL **: 18:41:55.347: Trying to dispose element videoconvert0, but it is in PAUSED instead of the NULL state. You need to explicitly set elements to the NULL state before dropping the final reference, to allow them to clean up. This problem may also be caused by a refcounting bug in the application or some element. [ WARN:0@21.714] global /home/jetauto/opencv/modules/videoio/src/cap_gstreamer.cpp (862) isPipelinePlaying OpenCV | GStreamer warning: GStreamer: pipeline have not been created (python3:31020): GStreamer-CRITICAL **: 18:41:55.347: Trying to dispose element appsink0, but it is in READY instead of the NULL state. You need to explicitly set elements to the NULL state before dropping the final reference, to allow them to clean up. This problem may also be caused by a refcounting bug in the application or some element. (python3:31020): GStreamer-CRITICAL **: 18:41:55.350: gst_element_post_message: assertion 'GST_IS_ELEMENT (element)' failed ^CTraceback (most recent call last): File "xwc.py", line 431, in <module> boxes, scores, classid = yolov5_wrapper.infer(frame) File "xwc.py", line 153, in infer input_image, image_raw, origin_h, origin_w = self.preprocess_image(raw_image_generator) File "xwc.py", line 264, in preprocess_image image = np.transpose(image, [2, 0, 1]) File "<__array_function__ internals>", line 6, in transpose File "/usr/local/lib/python3.6/dist-packages/numpy/core/fromnumeric.py", line 653, in transpose return _wrapfunc(a, 'transpose', axes) KeyboardInterrupt ------------------------------------------------------------------- PyCUDA ERROR: The context stack was not empty upon module cleanup. ------------------------------------------------------------------- A context was still active when the context stack was being cleaned up. At this point in our execution, CUDA may already have been deinitialized, so there is no way we can finish cleanly. The program will be aborted now. Use Context.pop() to avoid this problem. 解释

04-02

接下来是GStreamer的CRITICAL错误，提示在释放元素的时候状态不对，比如pipeline0处于READY状态而不是NULL，videoconvert0处于PAUSED状态。然后OpenCV的警告说无法启动pipeline，可能GStreamer的管道创建失败。最后...

[ROS2 Foxy] ros2 run learning_node node_object_webcam 报错, 启动摄像头失败

chdlr的博客

03-05

746

zyd@zyd-pc:$ ros2 run learning node node object webcam[INF0][1709553617.755758190][node_object_webcam]: Ros2节点示例:检测图像中的萃果(python3:104026):Gstreamer-CRITICAL **:20:00:39.108:Trying to dispose element pipelineo, but it is in PAusED instead of the Null state.

GStreamer-CRITICAL **: gst_element_make_from_uri: assertion `gst_uri_is_valid (uri)‘ failed

weixin_42630613的博客

09-25

2918

文章目录1、保存设置 1、保存设置 def zipdir(path, ziph): files = os.listdir(path) for file in files: if file.endswith(".py") or file.endswith("cfg"): ziph.write(os.path.join(path, file)) if file.endswith("cfg"): os.

GStreamer-CRITICAL **: gst_element_make_from_uri: assertion `gst_uri_is_valid (uri)' failed

热门推荐

陈雨

03-08

1万+

在Qt中，使用phonon播放视频的时候，出现了GStreamer-CRITICAL **: gst_element_make_from_uri: assertion `gst_uri_is_valid (uri)' failed，这是由于后端解码出现了问题，在QT下后端解码可以使用 vcl，mplayer，xine，gstreamer，在qt中使用gstreamer这个后端解码，可以在终端

解决OpenCV读取视频结束后报错的问题

hallobike的博客

09-14

4006

最近由于项目的需要，经常需要使用opencv读视频操作，会经常遇到一个问题，就是视频读完之后会出现报错的情况，虽然不影响代码结果，但是对于吹毛求疵的我实在忍受不了。会报错的程序： # -*-coding:utf-8-*- """ File Name: read_video.py Program IDE: PyCharm Create File By Author: Hong """ import cv2 def read_video(video_path: str): """ O

Linux Debug工具汇总

lyy901135的博客

09-26

6172

概述笔者一开始上手写代码使用VS工具，对于当时单步调试，设置断点等还记忆犹新。后面转战Linux平台开发，虽然知道有gdb strace等好用工具，但一直没能实际操刀练手过。本文用于记录和总结笔者开发过程中遇到的好用的调试工具。文章对这些工具并不能很详细讲解，仅作为一个抛砖引玉的过程，学会这种调试方法后，其他功能可自行车资料扩展。 strace工具按照strace官网的描述, strace是一...

GStreamer 截取RTSP 视频帧

qthello

02-14

1万+

需求：无人机配套的某些低成本摄像机没有拍照功能，只有RTSP视频流的推送，因此可以利用GStreamer框架将视频帧进行保存，来达到拍照的效果。思路：在需要拍照的航点，触发信号。在GstVideoReciver.cpp 绑定此信号并进行视频帧的保存。视频帧保存代码（某大神写的，非原创）： void GstVideoReceiver::takeMyScreenshot(const QString &imageFile) { // gpointer widget

C++ gstreamer函数使用总结

jacke121的专栏

01-17

4495

C++ gstreamer函数使用总结

jetson使用opencv和gstreamer调用csi摄像头报错:[ WARN:0] | GStreamer warning: Cannot query video position:

Yvon_L的博客

04-13

6238

出现类似的warning基本都是一个问题。

Jetson Nano 2G ROS 调用 CSI摄像头

的博客

11-01

2534

1.安装ROS的CSI摄像头软件包 TX2推荐安装jetson_csi_cam，而Nano推荐安装jetson_nano_csi_cam。 1.1 jetson_csi_cam 注意：与下面的jetson_nano_csi_cam二选一。参考：GitHub - peter-moran/jetson_csi_cam: A ROS package making it simple to use CSI cameras on the Nvidia Jetson TK1, TX1, or TX2 wit..

RUN apt-get clean RUN apt-get update && apt-get install -y \ python3 python3-pip libopencv-dev \ python3-opencv \ build-essential yasm cmake libtool libc6 libc6-dev unzip wget libnuma1 libnuma-dev \ libgstreamer1.0-0 gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-bad \ gstreamer1.0-plugins-ugly gstreamer1.0-libav gstreamer1.0-doc gstreamer1.0-tools gstreamer1.0-x \ gstreamer1.0-alsa gstreamer1.0-gl gstreamer1.0-gtk3 gstreamer1.0-qt5 gstreamer1.0-pulseaudio \ libglib2.0-dev libgstrtspserver-1.0-dev gstreamer1.0-rtsp

07-08

这段代码是在Docker容器中执行的一系列命令，用于安装一些软件包和依赖项。具体来说，它执行以下操作： 1. `apt-get clean`：清理apt-get缓存，以释放磁盘空间。 2. `apt-get update`：更新apt-get软件包列表。 3. `apt-get install -y`：安装以下软件包和依赖项： - `python3`：Python 3的主要二进制文件。 - `python3-pip`：Python 3的包管理工具pip。 - `libopencv-dev`：OpenCV开发库的头文件和静态库。 - `python3-opencv`：Python 3的OpenCV绑定。 - `build-essential`：构建软件包所需的基本工具和编译器。 - `yasm`：视频编解码器的汇编器。 - `cmake`：跨平台的构建工具。 - `libtool`：通用库支持脚本工具。 - `libc6`、`libc6-dev`：C标准库的运行时库和开发文件。 - `unzip`：解压缩工具。 - `wget`：网络下载工具。 - `libnuma1`、`libnuma-dev`：NUMA（非统一内存访问）系统的库和开发文件。 - `libgstreamer1.0-0`：GStreamer多媒体框架的核心库。 - `gstreamer1.0-plugins-base`、`gstreamer1.0-plugins-good`、`gstreamer1.0-plugins-bad`、`gstreamer1.0-plugins-ugly`、`gstreamer1.0-libav`：GStreamer插件和解码器。 - `gstreamer1.0-doc`、`gstreamer1.0-tools`、`gstreamer1.0-x`、`gstreamer1.0-alsa`、`gstreamer1.0-gl`、`gstreamer1.0-gtk3`、`gstreamer1.0-qt5`、`gstreamer1.0-pulseaudio`：GStreamer的文档、工具和相关库。 - `libglib2.0-dev`：GLib开发库的头文件。 - `libgstrtspserver-1.0-dev`：GStreamer RTSP服务器库的开发文件。 - `gstreamer1.0-rtsp`：GStreamer的RTSP插件。这些操作旨在为容器配置一个适合开发的环境，使其能够支持Python编程、OpenCV图像处理和GStreamer多媒体处理等任务。