This project is designed as practicing challenge for everyone interested in Intel OpenVINO toolkit. It demonstrates

• OpenVINO's super resolution network adopted to work on varying input resolutions.
• Complete sample to upscale a single image (x3)

• data - a folder with visual data (images, video)
• superres_img.py - script to run super resolution for image
• superres_mri.py - MRI visualization script

1. Download and install OpenVINO: https://software.seek.intel.com/openvino-toolkit

2. Download model

• single-image-super-resolution-1033.bin
• single-image-super-resolution-1033.xml

3. Setup environment

   • Windows

     "C:\Program Files (x86)\IntelSWTools\openvino\bin\setupvars.bat"

     Expected output:

     Python 3.7.6
     ECHO is off.
     PYTHONPATH=C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\open_model_zoo\tools\accuracy_checker;C:\Program Files (x86)\IntelSWTools\openvino\python\python3.7;C:\Program Files (x86)\IntelSWTools\openvino\python\python3;C:\Users\dkurtaev\opencv\build\lib\Release
     [setupvars.bat] OpenVINO environment initialized

   • Linux

     source /opt/intel/openvino/bin/setupvars.sh

     Expected output:

     [setupvars.sh] OpenVINO environment initialized

python3 superres_img.py -i data/sample.png

Source image (click to expand):

Bicubic interpolation	Network output

python3 superres_img.py -i data/mri.png

Source image (click to expand):

Bicubic interpolation	Network output

source: Calgary-Campinas Public Brain MR Dataset

1. Create a script superres_video.py based on superres_img.py which can process video file data/video.mp4 and show three windows: source video, resized with cv.INTER_CUBIC and upscaled by OpenVINO network.

2. Extend superres_mri.py so it could show both cv.INTER_CUBIC and output from OpenVINO network (on different windows or in a single window).