stevebottos/Gaze_Tracking_System_old stevebottos/Gaze_Tracking_System_old

  • Stars
    star
    1
  • Language
    Python
  • Created almost 6 years ago
  • Updated almost 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
stevebottos/Gaze_Tracking_System_old
github

stevebottos

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A prototype version of an algorithm which will track a reader's progression through text. Please visit https://stevebottos.github.io/2018/08/13/Gaze-Tracking-System/ for a detailed write-up of the system.

More Repositories

1

workout_tracker

Python
124
star
2

owl-vit-object-detection

object detection based on owl-vit
Python
50
star
3

stevebottos.github.io

My personal website.
HTML
5
star
4

owl-vit-auto-label

Uses owl-vit + image query to auto label
Python
2
star
5

pytorch-pipeline

A quick intro to the pytorch pipeline for my own exploration
Python
1
star
6

eye-tracker

A webcam eye tracker, a work in progress
Python
1
star
7

augment-pascal-voc

image augmentation for pascal voc formatted annotations
Python
1
star
8

yolov5-inferencing

YOLOv5, for inferencing only. Allows easy access to the detections.
Python
1
star
9

LA_Parking_Violations

The point of this side project is to create a map of LA according to parking tickets received from last year (2018) and to produce some helpful visualizations.
Jupyter Notebook
1
star
10

cpp_tutorials

A collection of C++ Tutorials that I put together for a class of junior electrical engineering students. They're designed to be short, simple, and accessible to complete beginners.
C++
1
star
11

bullish

a stocks management tool
Python
1
star
12

stocktwits-scraper

Gets stocktwits information for a specific ticker from specific users
Python
1
star
13

image-to-prompts

for a kaggle competition
Python
1
star
14

MATLAB-Cognitive-State-Detection

Start-To-Finish implementation of a Neural Network in Matlab. Main program and auxiliary functions will take a data set (available on request), clean it appropriately, and train a NN to categorize each sample in terms of one of three classes. See Python repo for Python implementation.
MATLAB
1
star