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laviewpbt 2014.8.4 编辑 Email： laviewpbt@sina.com QQ：33184777 　　最近闲来蛋痛，看了一些显著性检测的文章，只是简单的看看，并没有深入的研究，以下将研究的一些收获和经验共享。 先从最简单的最容易实现的算法说起吧： 　 　1、 LC算法 　　参考论文： Visual Attention Detection in Video Sequences Using Spatiotemporal Cues 。 Yun Zhai and Mubarak Shah. Page 4-5。 算法原理部分见论文的第四第五页。 When viewers watch a video sequence, they are attracted not only by the interesting events, but also sometimes by the interesting objects in still images. This is referred as the spatial attention. Based on the psychological studies, human perception system is sensitive to the contrast of visual signals, such as

I'm using OpenCV with Python. My code is: img_hsv = cv2.cvtColor(image,cv.CV_BGR2HSV) img_lab = cv2.cvtColor(image,cv.CV_BGR2Lab) When I access to a pixel value I'm getting values in RGB space, for example: img_hsv[x][y] = [255,255,255] How can I normalize HSV and LAB color space? HSV = 360º 100% 100% and LAB = 128 100 100 Edit1. Answering to Rick M.: Your solution is not correct because when I translate the values ​​of OpenCV like you said to HSV I get random colors. For example. Original image detection with the values of img_hsv : If I get those values and I reverse the order, I am getting

Does anyone know the meaning of ? npm ERR! Test failed. See above for more details. 3 tests complete Test duration: 873 ms The following leaks were detected:lr npm ERR! Test failed. See above for more details. I run my 3 tests I get a successful green 3 tests complete (all my test are passed) but why I also see the nasty ? npm ERR! Test failed. See above for more details. The test fails because lab detected a global variable leak: The following leaks were detected:lr This means you probably defined the lr variable somewhere as global. Try to find where you did that and make the variable local.

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I tried to apply dark theme by putting a *.css file in the ~/.jupyter/custom/ directory (like here ). This changes a theme for a normal jupyter notebook. But no affect on the jupyter lab appearance. I also tried to install a theme using jupyter-theme, but alas, no changes in jupyter lab appearance. Can someone point me to the how-to guide? 回答1: UPDATE 02/03/2018 Now this option is already built in in the settings menu! Recently this issue was closed on the GitHub, and finally it is possible to edit settings of the jupyter lab. Hurray! The

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I'm having a really hard time understanding what to do here. I thought one of the numbers I would be able to work with was going to be 85 but it seems I am wrong with this. I know I should only get 2 decimals out of it but I just cant seem to do it. Help would be very appreciated. phase_4 Dump of assembler code for function phase_4 : 0x08048cd1 <+ 0 >: push % ebp 0x08048cd2 <+ 1 >: mov % esp ,% ebp 0x08048cd4 <+ 3 >: sub $0x28 ,% esp 0x08048cd7 <+ 6 >: lea - 0xc (% ebp ),% eax 0x08048cda <+ 9 >: mov % eax , 0xc (% esp ) 0x08048cde

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: import pylab as plt x = range(1, 7) y = (220, 300, 300, 290, 320, 315) def test(axes): axes.bar(x,y) axes.set_xticks(x, [i+100 for i in x]) a = plt.subplot(1,2,1) test(a) b = plt.subplot(1,2,2) test(b) I am expecting the xlabs as 101, 102 ... However, if i switch to use plt.xticks(x, [i+100 for i in x]) and rewrite the function explicitly, it works. 回答1: .set_xticks() on the axes will set the locations and set_xticklabels() will set the displayed text. def test(axes): axes.bar(x,y) axes.set_xticks(x) axes.set_xticklabels([i+100 for i in x])

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Just trying one of the official documentation site examples: from pysnmp.hlapi import * errorIndication, errorStatus, errorIndex, varBinds = next( getCmd(SnmpEngine(), CommunityData('public'), UdpTransportTarget(('192.168.1.14', 161)), ContextData(), ObjectType(ObjectIdentity('1.3.6.1.2.1.1.1.0'))) ) if errorIndication: print(errorIndication) elif errorStatus: print('%s at %s' % ( errorStatus.prettyPrint(), errorIndex and varBinds[int(errorIndex)-1][0] or '?' ) ) else: for varBind in varBinds: print(' = '.join([ x.prettyPrint() for x in

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Is there any possibility to limit the number of d3.svg.axis integer labels displayed on the graph? Take for instance this graph. There are only 5 sizes here: [0, 1, 2, 3, 4] . However, the ticks are also displayed for .5, 1.5, 2.5 and 3.5 . 回答1: You should be able to use d3.format instead of writing your own format function for this. d3.svg.axis() .tickFormat(d3.format("d")); You can also use tickFormat on your scale which the axis will automatically use by default. 回答2: I've realised that it is enough to hide these values, rather than to