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Unite 2018 | Collapse 3: Achieve high-quality cartoon rendering in unity

mission briefing sessions.Since these scenarios do not require excessive depth of field, we use a special approach to improve mobile performance. Instead of using depth buffer for COC blending, use a separate camera to draw the background layer directly. After the blur is applied, the final image is obtained by combining the background and foreground characters together.For better visual results, we use the hexagon sampling mode to get better bokeh s

Blogs statistics Tool, Traffic Analysis

, feedsky is a good choice. International Web2.0 statistical system: in the past two years, many foreign Web2.0 statistical systems have come out. Innovative statistical functions include clicktale, crazyegg, and getclicky. Innovative statistical social applications and Widget applications include mybloglog, amung. Us, and feedjit. In addition to brief statistics on access information, clicktale records the time each user browses different pages. The cool function is to record every action

Initial Experience of tiled Window Manager Musca

MUSCA The split rectangle in the screen is called a frame. The program window in a virtual desktop is calledWindow Group. The number of windows in a window group can be greater than the number of frames in the virtual desktop. By pressing the shortcut key, a window hidden in a window group can be displayed in turn in the selected frame. Default Key Binding in Musca The default Musca Key Binding is more comfortable. The default mod key is mod4, that is, the Left window key. (My right windo

R Language Drawing--graphics package

Dotchart Cleveland Point Map Http://127.0.0.1:10143/library/graphics/html/dotchart.html hist Histogram Http://127.0.0.1:10143/library/graphics/html/hist.html Pie Pie chart Http://127.0.0.1:10143/library/graphics/html/pie.html Density Kernel Density map Http://127.0.0.1:10143/library/stats/html/density.html Stripchart Tape Map Http://127.0.0.1:10143/library/graphics/html/stripc

Caffe Combat series: How to write your own data layer (take deep Spatial net as an example)

First, the prefaceWant to write their own layers, First you have to define the parameters of your own layer in the Caffe.proto, so that you can configure the parameters in the proto configuration file, and then you have to declare in Caffe.proto that the parameters of your layer are optional, and then you have to add your own HPP header files to the Caffe include directory and Caffe SRC under the layer directory to add your own CPP implementation file. This paper describes how to write your own

Add amazing elements to your web design

scripting world . The "Wow" Factor Most of your have probably seen this website already, but the ' wow ' factor is definitely the foliage-o-meter. I still haven ' t seen any website does anything similar to what the He-has done. Riot Industries Riot Industries is the Personal portfolio of designer Phil Renaud. He's a dual citizen, born and raised in Windsor, Ontario, Canada, which is basically Canadian. The website has a very nice texture to it, and the color palette works. The "Wow" Fac

The use of "Python data visualization" Pyecharts __python

to illustrate some data about a graphic, such as a value, a name, and so on.LineStyle: Style options for lines with line graphics (line, Polar, Radar, Graph, Parallel)GRID3D:3D Cartesian coordinate system group configuration items, suitable for 3D graphics. (Bar3d, Line3d, Scatter3d)axis3d:3d Cartesian coordinate system x,y,z axis configuration items, suitable for 3D graphics. (Bar3d, Line3d, Scatter3d)Visualmap: is a visual mapping component for "visual coding", that is, mapping data to visual

R language drawing function use manual _r

London") #从工作空间导入数据集 DrugsDrugs BoxPlot (drugs,xlab= "x", ylab= "Y") DrugDrug BoxPlot (drug,xlab= "Drug", ylab= "density") Eight, the thermal attempt #热力图 Heatmap (As.matrix (Mtcars), Rowv=na,colv=na, Col=heat.colors (256), scale= "column", Margins=c (2,8), main= "Car characteristics by Model") #基因热力图 GenesRownames (genes) Image (X=1,ncol (genes), y=1:nrow (genes), z=t (As.matrix (Genes)), axes=false,xlab= "", ylab= "", main= "Gene correlation Ma

--PHEATMAP_ Visualization Analysis of R-language drawing thermal graph

colors), Legend is displayed on the upper right (you can set legend = False to not show legend); The color of the hot chart can be adjusted by the parameters; [Plain] View plain copy pheatmap (test, Cluster_row = FALSE, Legend_breaks = -1:4, Legend_labels = C ("0", [plain] View Plain copy "1e-4", "1e-3", "1e-2", "1e-1", "1") #可自己设置图例 #可设置参数display_numbers将数值显示在热图的格子中, you can format numeric values by Number_format, The more commonly used are "%.2f" (two digits after the decimal point), "%.1e" (

Sklearn Learning-SVM Routine Summary 3 (grid search + cross-validation-find the best super parameter)

= ' Medium ') # visualize parameter ' s effect on decision function #可视化参数对决策函数的影响 Plt.pcolormesh (xx, yy, -Z, CMAP=PLT.CM.RDBU) #对网格进行画图 plt.scatter (x_2d[:, 0], x_2d[:, 1], c=y_2d, Cmap=plt.cm.rdbu_r) plt.xticks (()) p Lt.yticks (()) Plt.axis (' tight ') #返回交叉验证的平均测试值, written in (Len (C_range), Len (gamma_range)) Form Scores = grid.cv_results_[' Mean_test_score '].reshape (Len (C_range),

. NET platform framework,. net platform framework

curves and oscilloscope, CPU usage, and waveforms. DynamicDataDisplay: Microsoft open-source WPF dynamic graph, line chart, bubble chart, and heatmap. ScalableMessage QueueCategory. For example, Kafka is a distributed Message System Based on publish/subscribe. The main design objectives are as follows: The time complexity is O (1) to provide message persistence capabilities. Even for TB-level or higher data, it can ensure constant time complexity ac

Tall and essential! Analysis of D3.js contribution to products and d3.js contribution

points to the competition, for example: ▲D3.heatmap Of course, each of these two display styles has its own merits. Scenario 3 The boss said that we need to see how many machines have been installed on our products. We need to display them in a form and observe the health status of the machine at all times to perform data analysis intuitively. This is what I got at the beginning, and then began to study how the presentation form should be good. A

Heatmap.js v2.0 hot Map plugin Using demo example

Heatmap.js is currently the most widely used hot map plug-in, his implementation of the principle is through the canvas to draw a hotspot map of the regional points, so heatmap can only be used in support of HTML5 browser.ShowDemo Code:Heatmap.js v2.0 hot Map plugin Using demo example

The road to machine learning--seaborn

NumPy as NP; Np.random.seed (0) Import Seaborn as Sns;sns.set ()To provide random data with the randomness:Uniform_data = Np.random.rand (3, 3) "" "[[0.0187898 0.6176355 0.61209572] [0.616934 0.94374808 0.6818203] [0.3595079 0.43703195 0.6976312]] "" Heatmap = Sns.heatmap (uniform_data)Output:Ax = Sns.heatmap (Uniform_data, vmin=0.2, vmax=0.5) #设置调色板上下限Normal_data = Np.random.randn (3, 3) #随机数有负数print (normal_data) ax = Sns.heatmap (

Echarts Study Summary

map data, the map type can be extended by standard Geojson. Support SVG extended class map application, such as indoor map, sports ground, object construction, etc. heatmap Thermal Map. It is used to display density distribution information, and it is used in conjunction with map and Baidu map plugin. Gauge instrument panel. Used to show key metrics data, common in BI class systems. Funnel Funnel Chart. It is used to show the data changes that occur

Cluster Technical Summary

is often applicable to spherical classes. If the class is in the shape of 'crescent ', K-means is often ineffective; DBSCAN applies to classes with different density. At the same time, DBSCAN is not applicable to high-dimensional data. 3. Evaluate the clustering effect 1) some parameters, such as SSE, cohesion and separation; sihouette plot, median split sihouette 2) Correlation heatmap: Ideally, a piece is formed along the diagonal line. 3) re-

Overall Planning of 802.11n Wireless Networks

meet specific needs of various environments. Network planners can easily enter network performance requirements, and then simulate a variety of migration scenarios to effectively determine the optimal network migration path and related costs. Comparison between 802.11a/B/g and 802.11n Using LANPlanner11.0, The 802.11n Performance Improvement task will no longer be a bunch of complex workbooks or cold numbers. When planning an 802.11n wireless network, you can clearly see the performance improve

HeatMapandAutomaticDataOptimization: part-1

Oracle12c provides a new feature called HeatMap, which tracks and marks data to row and blocklevel. This feature can be enabled at the system and session levels. To use ADO (AutomaticDataOptimization), you must enable it at the system level. However, onlyworksinanon-CDBenvironment, notsupp Oracle 12c provides a new feature called Heat Map, which tracks and marks data at row and block levels. This feature can be enabled at the system and session levels

ECCV Paper List

-person Pose estimationModel Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres,Mykhaylo Andriluka, and Bernt Schiele[7] Human Attribute Recognition bydeep hierarchical contextsyining Li, Chen Huang, Chen Change Loy, and Xiaoou Tang[8] Human Pose estimation usingdeep Consensus voting . Ita Lifshitz, Ethan Fetaya, and Shimon Ullman[9] Human Pose Estimation viaconvolutional part heatmap RegressionAdrian Bulat and Georgios Tzimiropoulos[10] stacked Ho

Echarts Getting Started-2

Animation Adddataanimation Animationthreshold Animationduration Animationdurationupdate Animationeasing 2 chart nouns Chart type Line Bar Scatter K Pie Radar Chord Force Map Heatmap Gauge Funnel Eventriver TreeMap Venn Tree Wordcloud 3.grid assembly drawing grid in right angle coordinate systemSix elements: x;y;x2;y2;widt

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