stevebottos/workout_tracker

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Python
Created over 4 years ago
Updated almost 2 years ago

stevebottos/workout_tracker

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workout_tracker

Need to make these folders locally to store training images: unsorted_images
train/class1
train/class2
train/class3

And for testing: test/raw_images

gather_data_from_video.py starts a connection to your webcam and saves each frame to unsorted_images (it uses start_from.txt to ensure that no two images will have the same filename if you start and stop recording multiple times), from there use sort_data.py to annotate. Then, model.py has everything you need to get started with training and testing

For everyone asking for the model: https://drive.google.com/file/d/15HYJKqIi43ZfQjrvNp-5e7r0EqQoTkHT/view?usp=sharing

owl-vit-object-detection

object detection based on owl-vit

stevebottos.github.io

My personal website.

owl-vit-auto-label

Uses owl-vit + image query to auto label

pytorch-pipeline

A quick intro to the pytorch pipeline for my own exploration

eye-tracker

A webcam eye tracker, a work in progress

augment-pascal-voc

image augmentation for pascal voc formatted annotations

yolov5-inferencing

YOLOv5, for inferencing only. Allows easy access to the detections.

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

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.

bullish

a stocks management tool

stocktwits-scraper

Gets stocktwits information for a specific ticker from specific users

image-to-prompts

for a kaggle competition

Gaze_Tracking_System_old

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.

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.