Meijie Wang's repositories
DiseasesDetection-On-ChestXRays-With-DeepLearning
CS541-Deep Learning Course Project
FlameMotionDetection
flame motion detection with deepgaze
fire-detection-cnn
real-time fire detection in video imagery using a convolutonal neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon)
CNNGestureRecognizer
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
ComputerGraphics_OpenGL
CS543_HW4: In this project I will add more realism to a high resolution model of a cow statue, implement per-fragment lighting, shading, texturing and shadows.
CS543_HW2
In this project, I will load a mesh stored in the .ply file format, render it as a 3D wireframe model using Vertex Buffer Object and also add keyboard control that let us move the .ply file around.
CS543_HW5
In this project I will implement some of the image manipulation operations we discussed in class. I will program various GLSL fragment shaders that implement various operations that we learned in class and control the effects interactively using keystrokes. I will load generating/loading and unloading 2 textures (a BMP image and a Mandelbrot Fractal).
CS573.VIS.experiment
Demo: https://wmjpillow.github.io/CS573.VIS.experiment/
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
flame-detection-system
A video-based multi-feature flame detection system.
Gesture-Recognition-101-CoreML-ARKit
Simple project to recognize hands in realtime. 👋 Serves as an Example for building your own object recognizer.
image-analogies
Generate image analogies using neural matching and blending.
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Object-detection
Object detection project for real-time (webcam) and offline (video processing) application.
object_detector_app
Real-Time Object Recognition App with Tensorflow and OpenCV
realtime_object_detection
Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!
Super-mario-bros-A3C-pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
sushi_detector_dataset
This dataset is used to train sushi recognition model using Tensorflow Object Detection API
tensorflowiOS
A Real Time Object Detection application on iOS using Tensorflow and pre-trained COCO dataset models. Video frames are captured and inference is done locally using the provided mobilenet models. Both Swift and Objective-C projects.
tswift-detection
Using the TensorFlow Object Detection API and Cloud ML Engine to build a Taylor Swift detector