Python Program for Object Detection on Jetson

I need a skilled programmer to create a Python program that utilizes a yolov11n.py model with DeepStream 7.1 for object detection from two picams connected to my Jetson Orin nano device running jetpack 6.1. The picams are connected through CSI cables and can be accessed as /dev/video0 and /dev/video1.

Key requirements:
- Object detection should focus on people and animals.
- Program should support specific formats of the picams (RG10, 1270,720,1/60).
- After running inference, two outputs are expected: an RTSP stream and a display on the Jetson itself.
- Monitor window output resolution should be 720p.

Please also provide a Docker instance that can be pulled and executed. Prior experience with DeepStream, YOLO models, and Jetson devices will be beneficial. Since docker output in a window on the host Jetson device is tricky I would be happy to play back the rtsp on the Jetson desktop if you supply me with a command (gstreamer).
Output:
Dockerfile
Python code
Screen shot of it running
Readme.md (build, convert, install steps, run, issues and general limitations and remarks)