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joe-zhuo's Projects

alienware15r3_ubuntu14 icon alienware15r3_ubuntu14

Instructions on how to install Ubuntu 14.04 on the Alienware 15 R3 (and installing cuda, tensorflow and disabling intel graphics card)

computer_vision icon computer_vision

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

face-detection-and-tracking-1 icon face-detection-and-tracking-1

Face detection using Viola-Jones detector and tracking using CAMShift, Particle Filter, Face detector + Kalman Filter, and Face Detector + Optical Flow tracker

facedetector icon facedetector

Python and C++ implementations of openCV face tracking capabilities coupled with arduino code for moving the camera to follow the face. Kalman Filters included. Inspired by http://docs.opencv.org/2.4/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html (cpp), http://opencvexamples.blogspot.com/2014/01/kalman-filter-implementation-tracking.html (cpp Kalman Filter), and http://stackoverflow.com/questions/43124445/face-tracking-using-opencv-arduino-and-python (python)

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

hnswlib icon hnswlib

Header-only C++/python library for fast approximate nearest neighbors

kalman-object-tracking icon kalman-object-tracking

Kalman filtering-based visual object tracking. Originally was used for faces, but can be used with any rectangular objects.

pcn-facedetection icon pcn-facedetection

Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.

simd icon simd

C++ image processing library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.

ysqfastfd icon ysqfastfd

A fast binary library for face detection and face landmark detection in images. No float point operations, especially suit for low cost Arm CPUs, The highest accuracy on FDDB among non deep learning methods

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