Readme.md

openvino_pretrained_person_depth

RGB IMAGE	Depth Map wit Person Objects

Quickly Start

At first, download OpenVINO pretained models from GoogleDrive and OpenVINO Model Zoo. Then putting them under folder "models".

!!Note!!

isl-org/MiDaS#37

The depth output in the app is inverted and provided up to unknown scale and shift, i.e. only inversely relative depth is available.
In each frame, existing a linear equation like "P = D * scale + shift" to project the values of depth maps "D" to the inverse physical absolute measurements "P" according to putting a known scale ruler in the view.

|__ openvino_pretrained_person_depth
   |__ img
   |__ models
       |__ midasnet
       |__ person-detection-retail-0013
   |__ main.py
   |__ Readme.md
   |__ install_requirements.bat

Build docker image with docker build -t openvino_depth:latest . in project root directory. Run below command to start app

docker run --isolation=process --device="class/{interface class GUID of camera}" openvino_depth:latest

Ref

• Dockerfile for OpenVINO on Windows Container https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_docker_windows.html

• Run a Windows Container with a Device https://docs.microsoft.com/en-us/virtualization/windowscontainers/deploy-containers/hardware-devices-in-containers

• Depth Model - MiDaS https://github.com/intel-isl/MiDaS