jrcao Goto Github PK

algorithm

Some classic algorithmic topics

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

blog

个人博客原始markdown文件

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-tensorflow2.0

Tensorflow2.0下运行目标检测网络Centernet（基于see--的keras-centernet）

csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deeplearning-tensorflow2

本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

improvedresnet-tensorflow2

Implementation 'Improved Residual Networks for Image and Video Recognition'

iresnet

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

keras-centernet

CenterNet (Objects as Points) implementation in Keras and Tensorflow

machine_learning

mastering-opencv-4-third-edition

Mastering OpenCV 4, Third Edition, published by Packt publishing

mmtracking

OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.

mobilefacenet_tf

Tensorflow implementation for MobileFaceNet

multi-person-tracker

Simple Multi Person Tracker implementation in PyTorch

multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

object-tracking

This OpenCv based C implementation is for tracking multiple ROI within a video. This is a an appearance based tracker exploiting particle filter and importance sampling.

object_detection_tracking

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

opencv

Open Source Computer Vision Library

oucml

person-detection-and-tracking

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

personreid

papers about person reid via deep learning

pytorch-tf

Converting a pretrained pytorch model to tensorflow