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京东618：算法让UV价值提升200%+，用智能卖场缩短购物路径 - 更多技术 - 清...
京东618：算法让UV价值提升200%+，用智能卖场缩短购物路径在今年京东618技术备战中，一个特色就是基于大数据、机器学习技术的智能卖场，用以缩短购物路径、提升购买效率，这也是京东大脑的一个典型...在今年京东618技术备...
科大讯飞徐景明：从语音交互到人工智能 - 资讯 - 清泛网 - 专注C/C++及内核技术
科大讯飞徐景明：从语音交互到人工智能16年前，没有像其他同学那样出国留学、在跨国公司拿高薪，刘庆峰带着一帮中科大的师兄弟，怀揣着中文语音技术要由中国人做到最好的产业抱负...16年前，没有像其他同学那样出国留...
C语言面试那些事儿──一道指针与数组问题 - c++1y / stl - 清泛IT社区，为创新赋能！
...我。这道题简简单单，但是考察了不少于如下内容：数组指针、数组首地址概念、数组指针和数组首地址和数组首元素地址之间的关系，指针运算规则，指针类型，int型长度，指针长度，类型转换…这些概念如果有一个及以上不...
How can one check to see if a remote file exists using PHP?
...favicon.ico, /favicon.gif, or even /path/to/favicon.png), use google:
<img src="http://www.google.com/s2/favicons?domain=[domain]">
Done.
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How to add a search box with icon to the navbar in Bootstrap 3?
...t breaking the search box and vice-versa. :-/ Here's a screenshot: i.stack.imgur.com/vTfvX.png
– its_me
Sep 4 '13 at 18:26
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How to show math equations in general github's markdown(not github's blog)
... such service: codedogs.com (no longer seems to support embedding) or iTex2Img.
You may want to try them out. Of course, others may exist and some Google-fu will help you find them.
given the following markdown syntax
import cv2
import numpy as np
img = cv2.imread('dave.jpg')
img = cv2.GaussianBlur(img,(5,5),0)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
mask = np.zeros((gray.shape),np.uint8)
kernel1 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(11,11))
close = cv2.m...
Placing an image to the top right corner - CSS
...u can just do it like this:
#content {
position: relative;
}
#content img {
position: absolute;
top: 0px;
right: 0px;
}
<div id="content">
<img src="images/ribbon.png" class="ribbon"/>
<div>some text...</div>
</div>
...
【持续更新】App Inventor 2 中文拓展一览 - App Inventor 2 中文网 - 清泛...
...：复利计算、平均值、中位数、众数、方差计算
AI人工智能
【AI模型】PersonalImageClassifier (PIC) 拓展：自行训练AI图像识别模型，开发图像识别分类App
【AI模型】PersonalAudioClassifier (PAC) 拓展：自行训练AI声音识别模型
【AI模型...
How to resize an image with OpenCV2.0 and Python2.6
...shrink image to fit a max height/width (keeping aspect ratio)
import cv2
img = cv2.imread('YOUR_PATH_TO_IMG')
height, width = img.shape[:2]
max_height = 300
max_width = 300
# only shrink if img is bigger than required
if max_height < height or max_width < width:
# get scaling factor
...