Deepstream Taking Batches of Images from Minio as an Input

• Hardware Platform: GPU
• DeepStream Version: 5.1-21.02-triton (Docker Container)
• TensorRT Version: 7.0.0-1
• NVIDIA GPU Driver Version: 465.19.01
• Issue Type: questions

Hello, I would like to know how the configuration should look like if I want the Deepstream app to handle batches of images as an input with a pre-determined frequency. The raw images would be updated on a Minio server at a certain time, and the processed images would be stored on the Minio server as well.

Previous Exploration
I know that Deepstream could handle image streams as inputs [In deepstream-app, how to use image stream instead of video stream for detection? - #3 by 1456873666], and I have tried the test-4 app with Kafka. I am not sure if the test-5 app is handy in this case, as it is using RTSP as the input channel [DeepStream Reference Application - deepstream-test5 app — DeepStream 5.1 Release documentation]. RTSP is something that I really would like to avoid, yet I could take it if it is the only option.

Any help/suggestion would be appreciated.

deepstream-test5 also use the same framework with deepstream-app, it can handle mjpeg input too.

The source code is open source, please check the source code and README inside.

We don’t have module to support Minio server read and write.

Thank you!