<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[cool_grubby的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/cool_grubby</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; cool_grubby]]></copyright><item><title><![CDATA[作为PA AE工程师需要了解的知识]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/111212764</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/111212764</guid><author>cool_grubby</author><pubDate>Tue, 15 Dec 2020 14:43:23 +0800</pubDate><description><![CDATA[1.基本测试要求：
 a.做到独立搭建测试bench，熟悉测试程序的操作；
 b.为什么要这么搭建，各个器件、测试件的作用是什么？
 c.测试指标的含义、来源？
2.基本测试项：
 a.基本性能如ACLR、ICC、ICQ、EVM、harmonic等；
 b.stability、ruggedness、浪涌；
 c.Noise，IIP3，P1dB，AMAM/AMPM；
 d.开关的loss、isolation等，S参数的处理；
 e.时序测试，PA on/off time，Swi...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像的ROI]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/103033000</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/103033000</guid><author>cool_grubby</author><pubDate>Tue, 12 Nov 2019 17:23:58 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：


import cv2 as cv
import numpy as np
 
src = cv.imread("C:/Users/Mark/Desktop/CV/opencv_tutorials-master/opencv_t...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——绘制几何图]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102900395</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102900395</guid><author>cool_grubby</author><pubDate>Mon, 04 Nov 2019 17:29:08 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：


import cv2 as cv
import numpy as np

image = np.zeros((512,512,3) , dtype = np.uint8)

cv.rectangle(image,(100,1...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像插值法]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102897947</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102897947</guid><author>cool_grubby</author><pubDate>Mon, 04 Nov 2019 16:48:27 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：


import cv2 as cv 

src = cv.imread("./test.png")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", ...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像的翻转]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102834783</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102834783</guid><author>cool_grubby</author><pubDate>Thu, 31 Oct 2019 11:36:13 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：


import cv2 as cv
import numpy as np

src = cv.imread("test.png")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv....]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——视频的读写]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102727219</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102727219</guid><author>cool_grubby</author><pubDate>Fri, 25 Oct 2019 10:54:35 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：


import cv2 as cv
import numpy as np


capture = cv.VideoCapture("./test.avi")
# capture = cv.VideoCapture(0) 打开...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像像素的归一化处理]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102724342</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102724342</guid><author>cool_grubby</author><pubDate>Thu, 24 Oct 2019 15:35:57 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2 as cv
import numpy as np

src = cv.imread("C:/Users/Mark/Desktop/CV/opencv_tutorials-master/opencv_tu...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像像素值的统计]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102721940</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102721940</guid><author>cool_grubby</author><pubDate>Thu, 24 Oct 2019 14:22:30 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：


import cv2 as cv
import numpy as np

src = cv.imread("./test.png",cv.IMREAD_GRAYSCALE) //为了统计图像像素的值，这里需要将BGR图像转...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——颜色空间转换]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102720226</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102720226</guid><author>cool_grubby</author><pubDate>Thu, 24 Oct 2019 13:36:21 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2 as cv

src = cv.imread("test.jpg")
cv.namedWindow("rgb",cv.WINDOW_AUTOSIZE)
cv.imshow("rgb", src)

#R...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图片通道的分离与合并]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102697326</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102697326</guid><author>cool_grubby</author><pubDate>Wed, 23 Oct 2019 15:55:14 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2 as cv

src = cv.imread("C:/Users/Mark/Desktop/CV/opencv_tutorials-master/opencv_tutorials-master/pyth...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像像素操作（逻辑运算）]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102663273</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102663273</guid><author>cool_grubby</author><pubDate>Mon, 21 Oct 2019 14:44:30 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2 as cv
import numpy as np

#create image one
src1 = np.zeros(shape=[400,400,3],dtype=np.uint8)
src1[100...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像伪色彩增强]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102662530</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102662530</guid><author>cool_grubby</author><pubDate>Mon, 21 Oct 2019 14:06:24 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2 as cv

src = cv.imread("test1.png")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——图像像素算法处理]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102589822</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102589822</guid><author>cool_grubby</author><pubDate>Wed, 16 Oct 2019 17:58:26 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2 as cv
import numpy as np

src1 = cv.imread("./test0.jpg")
src2 = cv.imread("./test1.jpg")
cv.imshow("i...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——像素的读写]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/102455610</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/102455610</guid><author>cool_grubby</author><pubDate>Wed, 09 Oct 2019 11:52:10 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2 as cv

src = cv.imread("./test.png")
cv.namedWindow("input",cv.WINDOW_AUTOSIZE)
cv.imshow("input",src)...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——彩色转灰度图像]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/101457020</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/101457020</guid><author>cool_grubby</author><pubDate>Thu, 26 Sep 2019 18:44:15 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials

源码示例：

import cv2

src = cv2.imread("C:/Users/Mark/Desktop/CV/opencv_tutorials-master/opencv_tutorials-master/python/cod...]]></description><category></category></item><item><title><![CDATA[Opencv学习笔记——导入图片]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/101452640</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/101452640</guid><author>cool_grubby</author><pubDate>Thu, 26 Sep 2019 17:24:57 +0800</pubDate><description><![CDATA[以下均为github上opencv的个人学习笔记，原路径如下：

https://github.com/JimmyHHua/opencv_tutorials



源码示例：


import cv2

src = cv2.imread("test.png")
cv2.namedWindow("input", cv2.WINDOW_AUTOSIZE)
cv2.imshow("input", sr...]]></description><category></category></item><item><title><![CDATA[Python学习笔记——文件读写]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/58349567</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/58349567</guid><author>cool_grubby</author><pubDate>Tue, 28 Feb 2017 00:12:00 +0800</pubDate><description><![CDATA[参见网易云课堂“疯狂的Python”第32课时用Python 来进行文件处理，有何意义？自然首先想到的是可以查找和更改文件的属性，分类和具体信息。比如说分析log日志，用正则查询log里所需要的内容。比如说写个简单的杀毒软件，或者做一个文件处理软件等。 
所涉及的内容如下： 
 
1.文件的打开和创建 
打开需要用到file和open命令 
比如说有一个文件夹位于根目录(/root)下（linux中]]></description><category></category></item><item><title><![CDATA[python学习笔记——浅拷贝与深拷贝]]></title><link>https://blog.youkuaiyun.com/cool_grubby/article/details/57502944</link><guid>https://blog.youkuaiyun.com/cool_grubby/article/details/57502944</guid><author>cool_grubby</author><pubDate>Sun, 26 Feb 2017 21:45:39 +0800</pubDate><description><![CDATA[python的学习笔记]]></description><category></category></item></channel></rss>