README

Current status:
We have an app that plays video from a defined camera and a when the eyetracker identifies a gaze it runs object detection on that frame and reads the name of the object detected in the defined language. 
1.	All the code is in the following repo: https://github.com/GuyBenbenisti/PointerAppAlyn
2.	Installations:
  a.	Tobii eyetracker - https://gaming.tobii.com/getstarted/
  b.	Visual studio – add the tobii.interaction reference through package manager. Set the manager as StartUp Project and run it.
  c.	Anaconda: in the environment pip install
    i.	opencv-python
    ii.	playsound
    iii.	pyttsx3
  d.	download yolo weights file from the web - https://pjreddie.com/darknet/yolo/ 
3.	Edit the paths in the configurations file in the manager folder – app.config. you need to insert the correct anaconda path and the project’s path. If there is any problem with the paths – edit it in the Harness.cs file.
4.	running only the python code for object detection is also an option:
    image reference:
    **python path**\python.exe  **repo path**\YOLOv3-Object-Detection-with-OpenCV\yolo.py -i **repo path**/YOLOv3-Object-Detection-with-OpenCV/temp/image.jpeg

    Web cam:
    **python path**\python.exe  **repo path**\PointerAppAlyn\YOLOv3-Object-Detection-with-OpenCV\yolo.py

Known Gaps and Future Work:
1.	speed optimizations – improve the running time of Tobii, UI and Yolo.
2.	Object detection - the number of classes in the YoloV3 object detection is currently limited to 80. Consider using a model with more classes. 
3.	Azure cognitive services - It is possible to replace the offline translation and text to speech and the yolo object detection with online cloud Azure cognitive services
4.	Buttons - add their functionality 
5.	wrap all code to some executable easy to run