[Required] Your device's CPU architecture: CPU X86_64
[Required] Your OS: Ubuntu1804
[Required] Details of the work you did before the problem occurred:
I'm trying to use it and make a complete pipeline to release it on the production.
Basically I'm detecting the object on live kinesis video streaming with using this and through the flask api, I want to see it on the another we application.
The issue is, It can't process multiple request. In a single request it works fine but as I send the second request, It breaks due to async_lock on the thread and shows this assertion message.
Assertion `fctx->async_lock` failed at src/libavcodec/pthread_frame.c:155
[Required] Error message:
Can't able to process the multiple request. Single request works fine and as I send the another request, it failed.
Assertion fctx->async_lock failed at src/libavcodec/pthread_frame.c:155 [Required] Overview of problems and questions:
Have anyone used this on the production?
What is best way to create the pipeline using this to integrate with the web?
[Required] Your device: AWS EC2
[Required] Your device's CPU architecture: CPU X86_64
[Required] Your OS: Ubuntu1804
[Required] Details of the work you did before the problem occurred: I'm trying to use it and make a complete pipeline to release it on the production.
Basically I'm detecting the object on live kinesis video streaming with using this and through the flask api, I want to see it on the another we application.
The issue is, It can't process multiple request. In a single request it works fine but as I send the second request, It breaks due to
async_lockon the thread and shows this assertion message.Assertion `fctx->async_lock` failed at src/libavcodec/pthread_frame.c:155[Required] Error message:
Can't able to process the multiple request. Single request works fine and as I send the another request, it failed.
Assertion fctx->async_lock failed at src/libavcodec/pthread_frame.c:155[Required] Overview of problems and questions:
Have anyone used this on the production?
What is best way to create the pipeline using this to integrate with the web?