Note: change the name of the wheel to the wheel built in the dist of opencv-python Run python eyeDetect.py On your first run, ensure the "doTraining" variable at the top of eyeDetect.py is False. This makes it display pupil centers graphically, as depicted in the Theory Paper. The ...
Designing a high-speed eye tracker invites questions concerning the time/accuracy trade-off: e.g., (1) what is an optimal camera resolution where a pupil and glint detection algorithm performs under 2–3 ms, and (2) to what extent are current consumer computer resources (CPU, RAM, Hard ...
The OpenCL support is also planned to be integrated into the depthai python API for the OAK devices. But the depthai already supports or will support some basic hardware accelerated pre-processing and filtering operations (e.g. edge detection, object tracking, motion estimation, ...)...
Last, enable the camera the same way as with the OpenCV stand along image using raspi-config. Reboot the pi and the eyes plus object detection should automatically start after about 10 - 15 seconds. This completes the projects foundation electronics, now it's time to pick a prop and comple...
Model-based methods (see Hansen & Ji, 2010, for an overview) estimate geometric eye shapes or 2D features, such as pupil-center, position of cor- neal reflection, eye corners, iris contours, etc., from images of the eye typically captured using infrared light sources. These features are ...
pupil diameter behavior have been attributed to the phasic and tonic modes of LC activity55. Tonic mode activity is indicated by a larger overall pupil diameter and is associated with lower task utility and higher task difficulty. Phasic mode activity is indicated by larger pupil size variation ...
Install these dependencies (NumPy, OpenCV, Dlib): pip install -r requirements.txt The Dlib library has four primary prerequisites: Boost, Boost.Python, CMake and X11/XQuartx. If you doesn't have them, you can read this article to know how to easily install them. Run the demo: python...
For pupil boundary detection, an ellipse-fitting algorithm can be used, which is controlled by the energy function. In the ellipse-fitting process, the task is to find the best fit for a given data point and to minimize the distance between the input data points and the sum of the ...