d810799497

d810799497's Stars

• JohnsonZ-microe/Design-of-Real-time-Figure-Recognition-Algorithm-Based-on-FPGA

  As the mechine learning techniques being widely implemented in social and industrial field, it gives higher request to the accuracy of recognition of objects’feature. Based on the high-speed performance of FPGA platform, the algorithm proposed in this paper aims to extract the imformation of the gesture, mainly the skin color and contours. Using ellipse model color space division and gaussian function weighting structure, the algorithm can perfectly realize the combination of skin color and contours, and filter the irrelevant imformation effectively

  Language:Verilog61

• salute-hh/FPGA-Edge-Detection-Project1

  FPGA-Edge-Detection-Project1

  Language:Verilog488

• xupsh/Pynq-CV-OV5640

  Pynq computer vision examples with an OV5640 camera

  Language:VHDL4618

• adamgallas/fpga_accelerator_yolov3tiny

  Language:VHDL18323

• XueTianyu24/cnn_accelerator

  【入门项目】基于PYNQ-Z2实现手写数字识别卷积神经网络硬件加速器

  Language:Verilog12626

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.2k649

• nickgillian/grt

  gesture recognition toolkit

  Language:C++863284

• sriramsk1999/gestop

  A tool to navigate the desktop with hand gestures. Builds on mediapipe.

  Language:Python6

• keijiro/HandPoseBarracuda

  Hand and finger tracking solution (MediaPipe Hands) for Unity Barracuda

  Language:C#50779

• yirueilu-b/blaze-palm-tf2

  Language:Jupyter Notebook95

• xinghaochen/awesome-hand-pose-estimation

  Awesome work on hand pose estimation/tracking

  Language:Python3.1k534

• MengHao666/Minimal-Hand-pytorch

  PyTorch reimplementation of minimal-hand (CVPR2020)

  Language:Python33377

• CalciferZh/minimal-hand

  A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.

  Language:Python975172

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++27.4k5.1k

• handopen/Minimal-Hand-pytorch

  PyTorch reimplementation of minimal-hand (CVPR2020)

  248

• forresti/SqueezeNet

  SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

  2.2k723

• rcmalli/keras-squeezenet

  SqueezeNet implementation with Keras Framework

  Language:Python404146

• fpgasystems/spooNN

  FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

  Language:Jupyter Notebook26173

• xupgit/Zynq-Design-using-Vivado

  This XUP course provides an introduction to embedded system design on Zynq using the Xilinx Vivado software suite.

  Language:HTML7865

• hillhao/PYNQ-project

  PYNQ, Neural network Language model, Overlay

  Language:Jupyter Notebook10135

• kl-0428/PYNQ

  Language:Jupyter Notebook1

• alphacep/vosk-api

  Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

  Language:Jupyter Notebook8k1.1k

• xixicat/SRProject

  The source codes of an embedded speech recognition system

  Language:C51

• saturn-lab/learn-TensorFlow

  Make Smart Things with TensorFlow

  Language:Jupyter Notebook138

• nl8590687/ASRT_SpeechRecognition

  A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

  Language:Python7.8k1.9k

• zzw922cn/awesome-speech-recognition-speech-synthesis-papers

  Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

  3k514

• PR085/A-Remote-Hand-Gesture-Recognition-System

  This project aims to use Intel FPGA as data processor and Xilinx Ego1 as operator, to implement a Remote Hand Gesture Recognition System (RHGRS). We use Terasic DE10-Nano Kit and Xilinx Ego1 co-design as our developing and implementing method.

  Language:Verilog21

• JieFangD/SoCLab

  FPGA-based Instant Image Recognition on Convolutional Neural Network

  Language:C31

• aabdelfattah/alhaitham-hardware

  Gesture Recognition Based on ALTERA DE2-115 FPGA

  Language:Verilog63

• pavmeh/fpga-speech-recognition

  Language:Verilog42