contour

How to add contour lines to a heat map

女生的网名这么多〃 提交于 2021-01-29 05:06:10
问题 I have a script which takes data (formatted in 3 columns x,y,z ) and gives a heat map: set logscale x 10 set yrange [1e-9:2e-8] set xlabel "x" set ylabel "y" set multiplot plot 'filetest.dat' u 1:2:9 with image This is a 2D heat map, shown below: All I want to do is add contours to this plot, at some z values such as -20 to -8 in in intervals of 2. Unfortunately, none of the answers I've found have been able to help me with this. Any help would be greatly appreciated. 回答1: Although there are

Contour in Python

限于喜欢 提交于 2021-01-28 08:01:00
问题 How Z is calcutalted in from matplotlib.pyplot import contour contour([X, Y,] Z, [levels], **kwargs) to draw a contour? I know that Z means: The height values over which the contour is drawn. But is it drawn by calculating a standard deviation or something like that? An average between each point I have? 回答1: Z represents a quantity dependent on both X and Y axes. If X and Y represent a plane, Z can be thought of as a surface, whose point height depends on the X and Y coordinates of that

Matplotlib - Contour plot with single value

≡放荡痞女 提交于 2021-01-27 06:00:56
问题 I want to make a contour plot of some data, but it is possible that all values in the field at the same value. This causes an error in matplotlib, which makes sense since there really isn't a contour to be created. For example, if you run the code below, you will get an error, but delete the second definition of zi and it runs as expected. How can I make a "contour" plot for some data if it is a uniform field? I want it to look just like the regular contour plot (to have a box filled with

Matplotlib - Contour plot with single value

筅森魡賤 提交于 2021-01-27 05:59:10
问题 I want to make a contour plot of some data, but it is possible that all values in the field at the same value. This causes an error in matplotlib, which makes sense since there really isn't a contour to be created. For example, if you run the code below, you will get an error, but delete the second definition of zi and it runs as expected. How can I make a "contour" plot for some data if it is a uniform field? I want it to look just like the regular contour plot (to have a box filled with

GEE Paper

陌路散爱 提交于 2021-01-23 04:29:10
Nature Communications 01. Gainers and losers of surface and terrestrial water resources in China during 1989-2016 ( 2020 ) 02. Extremes of summer climate trigger thousands of thermokarst landslides in a High Arctic environment ( 2019 ) ENVIRONMENTAL MODELLING & SOFTWARE 01. AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine ( 2020 ) 02. Open-source Google Earth Engine 30-m evapotranspiration rates retrieval: The SEBALIGEE system ( 2020 ) 03. A Google Earth Engine-enabled software for efficiently generating high-quality user

Halcon - 3D equivalent of affine_trans_contour_xld

六眼飞鱼酱① 提交于 2020-12-13 04:40:05
问题 I have a XLD contour that i need to convert from world plane to image plane.. but I can only find affine_trans_contour_xld , that accepts a 2D Mat, and not a 3D mat.. how can I transform the xld Contour from the world plane to the image plane? basically what I need is the inverse of contour_to_world_plane_xld EDIT: I THINK that the solution would be to find the 2D Mat of the XY plane, but couldnt find how to do that either.. 回答1: I solved it this way: *get the points of a 100 mm square on my

matlab的三维绘图和四维绘图

给你一囗甜甜゛ 提交于 2020-12-04 18:33:37
一、三维绘图 1.曲线图 plot3(X1,Y1,Z1,...):以默认线性属性绘制三维点集(X1,Y1,Z1)确定的曲线 plot3(X1,Y1,Z1,LineSpec):以参数LineSpec确定的线性属性绘制三维点集 plot3(X1,Y1,Z1,'PropertyName',PropertyValue,...):根据指定的属性绘制三维曲线 theta = 0:0.01*pi:2*pi; x = sin(theta); y = cos(theta); z = cos(4*theta); plot3(x,y,z,'LineWidth',2); hold on; theta = 0:0.02*pi:2*pi; x = sin(theta); y = cos(theta); z = cos(4*theta); plot3(x,y,z,'rd','MarkerSize',10,'LineWidth',2); 2.网格图 绘制函数z=f(x,y)的三维网格图的过程: 确定自变量x和y的取值范围和取值间隔 利用meshgrid函数生成“格点”矩阵 计算自变量采样“格点”上的函数值:Z = f(x,y) matlab中提供了mesh函数用于实现绘制网格图: mesh(X,Y,Z):绘制三维网格图,颜色与曲面的高度相匹配 mesh(Z):系统默认颜色与网格区域的情况下绘制数据Z的网格图

基于深度学习的图像边缘和轮廓提取方法介绍

扶醉桌前 提交于 2020-11-26 09:05:39
点击上方 “ 小白学视觉 ”,选择加"星标"或“置顶” 重磅干货,第一时间送达 作者:黄浴 奇点汽车 首席科学家 整理:Hoh Xil 来源: https://zhuanlan.zhihu.com/p/78051407 导读: 边缘和轮廓的提取是一个非常棘手的工作,细节也许就会被过强的图像线条掩盖,纹理(texture)本身就是一种很弱的边缘分布模式,分级(hierarchical)表示是常用的方法,俗称尺度空间(scale space)。以前做移动端的视觉平台,有时候不得不把一些图像处理功能关掉,原因是造成了特征畸变。现在 CNN 模型这种天然的特征描述机制,给图像预处理提供了不错的工具,它能将图像处理和视觉预处理合二为一。 ——边缘提取—— 1. HED 整体嵌套边缘检测( Holistically-Nested Edge Detection,HED 是一个深度学习的边缘提取的算法,两个特色:(1)整体图像训练和预测; (2)多尺度、多层特征学习。该深度模型利用全卷积网络,自动学习丰富的分层表示(基于侧面响应的深层监督指导)。 多尺度深度学习可分为四类,即多流学习(multi-stream)、跳网(skip-net learning)学习、多输入单模型以及独立网训练,如图所示:(a)多流架构; (b)跳网架构; (c)多尺度输入的单一模型; (d)不同网络独立训练; (e

How to remove a contour inside contour in Python OpenCV?

纵然是瞬间 提交于 2020-11-25 14:31:57
问题 OpenCV in Python provides the following code: regions, hierarchy = cv2.findContours(binary_image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) for region in regions: x, y, w, h = cv2.boundingRect(region) cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 1) This gives some contours within contour. How to remove them in Python? 回答1: For that, you should take a look at this tutorial on how to use the hierarchy object returned by the method findContours . The main point is that you should use