OpenCV with CUDA (Ubuntu 22.04), python import error: "undefined symbol: gst_base_src_new_segment"

By -

I attempted to build OpenCV with CUDA support for my 6.1 compute compatible GPU on my Ubuntu 22.04 OS. After lots of struggle I finally got the installation to complete without errors (but with 4 "harmless" repeating warnings) by using OpenCV 4.2.0, Nvidia Toolkit 11.5, gcc and g++ 10.4.0, and python 3.10.6 (in a virtual environment in anaconda). when I check the installation using "pkg-config --libs opencv" I get an error saying it doesn't exist, and when I try to import opencv in the anaconda environment I get the error /lib/x86_64-linux-gnu/libgstapp-1.0.so.0: undefined symbol: gst_base_src_new_segment, which occurs in cv2/__init__.py when executing bootstrap().

The installation results in lots of promising looking .h, .hpp and .so files. I have not installed packages from scratch like this before so I am not sure how to tell if the installation was successful or not. The error I get is the best-case I was able to achieve by experimenting with various versions of gcc, nvidia toolkit, and OpenCV, and I need to run conda install -c conda-forge gcc=10.4.0 or else I get a different error (which is interesting since I followed https://danielhavir.github.io/notes/install-opencv/ for the most part in the installation process, and they did not mention needing to do that. I could not find cv2.so in the list of installed files. I noticed that python 3.10.6 was compiled with gcc 11.2.0. could this be the issue? I have spent a week and a half to get to this point but I am not sure if these are fixable issues within python or if the errors are a sign of a broader issue with the installation and require a new compile.

edit: I discovered the issue is that Ubuntu 22.04 comes standard with gstreamer 1.20 but anaconda-navigator appears to use gstreamer 1.14.0. "gst_base_src_new_segment" was added in 1.18 and this is why anaconda gets stuck. I can either downgrade my system's gstreamer or upgrade my anaconda gstreamer. However, when I try to remove gstreamer from anaconda-navigator (conda uninstall gstreamer) it tries to uninstall anaconda-navigator itself and when I try to upgrade gstreamer using conda install -c anaconda gstreamer it tries to install the 1.14.0 version unless I specify otherwise. Installing gstreamer 1.20.3 using conda install -c fastchan gstreamer does not change the core library version.



Comments

Post a Comment

Popular posts from this blog

Today Walkin 14th-Sept

By -
Image
14th Sept 2017 ( GO Through all List) Read Walkin details properly , Try to call company before attending if possible !!! ==================================== 1. Myntra through fresherworld (Call Based , Venue shared to shortlisted candidates) _____________________________ 2. Magna : Hiring for Client Harman : C++
Read more

Spring Elasticsearch Operations

By -
Elasticsearch Operations Spring Data Elasticsearch uses two interfaces to define the operations that can be called against an Elasticsearch index. These are ElasticsearchOperations and ReactiveElasticsearchOperations. Whereas the first is used with the classic synchronous implementations, the second one uses reactive infrastructure. The default implementations of the interfaces offer: Read/Write mapping support for domain types. A rich query and criteria api. Resource management and Exception translation. ElasticsearchTemplate The ElasticsearchTemplate is an implementation of the ElasticsearchOperations interface using the Transport Client. @Configuration public class TransportClientConfig extends ElasticsearchConfigurationSupport {   @Bean   public Client elasticsearchClient() throws UnknownHostException {                      Settings settings = Settings.builder().put("cluster.name", "elasticsearch")....
Read more

Hibernate Search - Elasticsearch with JSON manipulation

By -
Elasticsearch with JSON manipulation Elasticsearch ships with many features. It is possible that at some point, one feature you need will not be exposed by the Search DSL. To work around such limitations, Hibernate Search provides ways to: Transform the HTTP request sent to Elasticsearch for search queries. Read the raw JSON of the HTTP response received from Elasticsearch for search queries. Direct changes to the HTTP request may conflict with Hibernate Search features and be supported differently by different versions of Elasticsearch. Similarly, the content of the HTTP response may change depending on the version of Elasticsearch, depending on which Hibernate Search features are used, and even depending on how Hibernate Search features are implemented. Thus, features relying on direct access to HTTP requests or responses cannot be guaranteed to continue to work when upgrading Hibernate Search, even for micro upgrades (x.y.z to x.y.(z+1)). Use this at your own risk....
Read more