richipower

richipower

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Location:Acapulco, Mexico

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richipower's repositories

PCN-opencv

face detector

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MTCNN-opencv

MTCNN Face Detector

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BMW-YOLOv3-Training-Automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.

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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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EXTD_Pytorch

Official EXTD Pytorch code

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face_detect_n_track

Fast and robust face detection and tracking

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Faceboxes.pytorch

faceboxes implement with pytorch

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hall-of-faces

Face detection model zoo

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Heart_Rate_Detection

Detected the heart rate by face

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heartbeat

Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.

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keras-mtcnn

mtcnn face detection transplanted to keras

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Machine-Learning-Collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

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ModernCppCI

This is an example of doing a Modern C++ project with CI

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Multitarget-tracker

Hungarian algorithm + Kalman filter multitarget tracker implementation.

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nanogui

Minimalistic GUI library for OpenGL

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Non-Maximum-Suppression

Implementation of Non-Maximum Suppression algorithm

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PCN-iOS

Implementations of PCN face detection is ported to iOS using caffe. PCN (caffe version) is get from: https://github.com/Jack-CV/FaceKit

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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Pytorch_Retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

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QlockTwo_DIY

A perfect copy of the original QlockTwo.

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ScaledYOLOv4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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