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wang7393's Projects

ai-toolbox icon ai-toolbox

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

bolt icon bolt

Bolt is a deep learning toolbox with high performance and heterogeneous flexibility.

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-1 icon caffe-1

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

cnstream icon cnstream

CNStream is a streaming framework for building Cambricon machine learning pipelines http://forum.cambricon.com https://gitee.com/SolutionSDK/CNStream

deep-hough-transform icon deep-hough-transform

Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

facemaskdetection icon facemaskdetection

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

fitlog icon fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

gst-video-analytics icon gst-video-analytics

This repository contains a collection of GStreamer* elements to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in GStreamer* framework.

hwcodec icon hwcodec

hardware codec for windows using ffmpeg (nvi qsv enc\dxva2 dec) 使用ffmpeg进行Qsv硬编码、Nvi硬编码、DXVA硬解码的封装API

imgclsmob icon imgclsmob

Sandbox for training convolutional networks for computer vision

kmeans-anchor-boxes icon kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

libfacedetection icon libfacedetection

An open source library for face detection in images. The face detection speed can reach 1000FPS.

mobilenet-ssd icon mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

model-compression icon model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))

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