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ewancai's Projects

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices + added support for tracking using deep sort (this is a sub-module for the tracker)

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deepgaze icon deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

easypr icon easypr

An open source project for Chinese plate recognition in unconstrained situation. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

gitstats icon gitstats

Statistics generator for git repositories. Fork of http://gitstats.sourceforge.net/

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

manim icon manim

Animation engine for explanatory math videos

pi-pedestrian-counter icon pi-pedestrian-counter

A simple Raspberry Pi pedestrian counter in Python that uploads counts in real-time to Ubidots.

ucsd_data_science_and_engineering icon ucsd_data_science_and_engineering

In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others. Data scientists unlock new sources of economic value, provide fresh insights into science, and inform decision makers by analyzing large, diverse, complex, longitudinal, and distributed data sets generated from instruments, sensors, internet transactions, email, video, and other digital sources. Students entering the MAS program for a degree in Data Science and Engineering will undertake courses in programming, analysis, and applications management and visualization. This program requires three foundational courses, four core courses, and two electives totaling thirty-four units, plus a capstone team project course of four units, for a total of thirty-eight units.

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