Stacked Hourglass Networks for Human Pose Estimation key words:人体姿态估计 Human Pose Estimation 给定单张RGB图像,输出人体某些关键点的精确像素位置.堆叠式沙漏网络 Stacked Hourglass Networks多尺度特征 Features processed across all scales特征用于捕捉人体的空间关系 Capture spatial relationships associate
structs2 对ActionContext valueStack stack context 的理解 ActionConext : The ActionContext is the context in which an Action is executed. Each context is basically a container of objects an action needs for execution like the session, parameters, locale
提起siamese network一般都会引用这两篇文章: <Learning a similarity metric discriminatively, with application to face verification>和< Hamming Distance Metric Learning>. 本文主要通过论文<Learning a Similarity Metric Discriminatively, with Application to Face Verif
现象描述 删除stack的时候没太多提示,但再启动相同的stack会报错,提示网络创建失败:随后使用network ls命令可以看到之前的network还在: 使用docker network rm还是会提示失败. Failed to remove network ysk0x2yy71gh061cbp8yoetps: Error response from daemon: network my_network id ysk0x2yy71gh061cbp8yoetps has active end
原文出处:http://www.fpga4fun.com/PCI-Express3.html Packetized transactions PCI express is a serial bus. Or is it? From the computer's perspective, it is a conventional bus where read and write transactions can be achieved. The trick is that all operation
[2013-12-06 11:06:21,715] [C3P0PooledConnectionPoolManager[identityToken->2tl0n98y1iwg7cbdzzq7a|719f1f]-HelperThread-#2] DEBUG - com.mchange.v2.c3p0.impl.NewPooledConnection@484c6b closed by a client. java.lang.Exception: DEBUG -- CLOSE BY CLIENT STA
[论文理解] CornerNet: Detecting Objects as Paired Keypoints 简介 首先这是一篇anchor free的文章,看了之后觉得方法挺好的,预测左上角和右下角,这样不需要去管anchor了,理论上也就w*h个点,这总比好几万甚至好几十万的anchor容易吧.文章灵感来源于Newell et al. (2017) on Associative Embedding in the context of multi-person pose estimation
http://blog.packagecloud.io/eng/2016/06/22/monitoring-tuning-linux-networking-stack-receiving-data/ Jun 22, 2016 • packagecloud Tags: packagecloud linux kernel networking optimization tuning monitoring TL;DR This blog post explains how computers runn