yikuizhai Goto Github PK

pbsd-net

pdpa-pan

poses

prediction-example-with-caffe

C++ Prediction Example With Caffe

pythonquantitativefinance

专注于分享Python在金融领域的应用，欢迎关注微信公众号: Python金融量化 （id：tkfy920）

qstock

qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。

resnet

Implementation of Deep Residual Learning / Residual Network for MSR paper http://arxiv.org/abs/1512.03385

robothead

Based on the intraface tool, it allows to have a simple robotic head that changes its expression following its partner's one

scikit-learn

scikit-learn: machine learning in Python

selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

single-image-super-resolution

srlab

single image super resolution algorithm implementation

surffacedetection

Face detection based on Surf Cascade Face Detection of Jianguo Li

torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

uav-bcd

UAV-BCD:The proposed dataset contains 2024 pairs of finely registered high-resolution images collected by UAVs and their corresponding pixel-level labels, which can provide a new benchmark for RSCD. We evaluate the effectiveness of UAV-BCD with the five state-of-art deep neural networks in RSCD.

ucsfh-net

videoeye

open-source stream analysis software

vlfeat

An open library of computer vision algorithms

webcam

A simple webcam capture program support multiple webcams

webcam-1

Provide a webcam interface for people who want to practice image processing

webcam_capture

Just webcam capture and playing using OpenCV

wpcd-dataset

Therefore, we construct a comprehensive and large-scale open-world public benchmark dataset for workpiece counting, called Workpiece Counting Dataset (WPCD), which includes 121,475 instances of workpieces from 351 different categories.Our code and dataset can be found at https://sites.google. com/view/wpcd.