histogram

问题 I worked on a code that implements an histogram calculation given an opencv struct IplImage * and a buffer unsigned int * to the histogram. I'm still new to SIMD so I might not be taking advantage of the full potential the instruction set provides. histogramASM: xor rdx, rdx xor rax, rax mov eax, dword [imgPtr + imgWidthOffset] mov edx, dword [imgPtr + imgHeightOffset] mul rdx mov rdx, rax ; rdx = Image Size mov r10, qword [imgPtr + imgDataOffset] ; r10 = ImgData NextPacket: mov rax, rdx

问题 I want to draw coefficient histogram of JPEG. I'm searching on Google for hours to know how to use Chart2D library, but there is no tutorial with examples. The array which I want to draw is hist[] . I created an object of LBChart2D , but I don't know how to set the array as data set to it. //coeff[] is the coefficients array for(int i=0;i<coeff.length;i++) hist[coeff[i]]++; LBChart2D lbChart2D = new LBChart2D(); EDIT:Here is what I'm trying : Object2DProperties object2DProps = new

问题 I want a nice density (that sums to 1) histogram for some discrete data. I have tried a couple of ways to do this, but none were entirely satisfactory. Generate some data: #data set.seed(-999) d.test = data.frame(score = round(rnorm(100,1))) mean.score = mean(d.test[,1]) d1 = as.data.frame(prop.table(table(d.test))) The first gives the right placement of bars -- centered on top of the number -- but the wrong placement of vline() . This is because the x-axis is discrete (factor) and so the

问题 Here is the code I used in R (using RGui 64-bit, R ver. 3.3.1) to plot a histogram of data along with a frequency polygon. I am not using ggplot2. How can I superimpose the frequency polygon on top of the histogram so that I don't have to do two separate graphs? That is, I want the histogram plotted, with the frequency polygon overlaid on top of it. # declare your variables data <- c(10, 7, 8, 4, 5, 6, 6, 9, 5, 6, 3, 8, + 4, 6, 10, 5, 9, 7, 6, 2, 6, 5, 4, 8, 7, 5, 6) # find the range range

问题 I have a continuously generated data (text file) generated by a program on the server. I want to plot the data as a real-time graph just like powergrid does. This was my approach: As the data is generated continuously on the server in a text file, I wrote a PHP script which reads that file( get_file_contents ), outputs the data points and plot the graph using sparkline jQuery plugin. But the problem is that it reads the file all at once . Moreover, the text file keeps on growing. Can anyone

问题 I am creating a histogram in Seaborn of my data in a pretty standard way, ie: rc = {'font.size': 32, 'axes.labelsize': 28.5, 'legend.fontsize': 32.0, 'axes.titlesize': 32, 'xtick.labelsize': 31, 'ytick.labelsize': 12} sns.set(style="ticks", color_codes=True, rc = rc) plt.figure(figsize=(25,20),dpi=300) ax = sns.distplot(synData['SYNERGY_SCORE']) print (np.mean(synData['SYNERGY_SCORE']), np.std(synData['SYNERGY_SCORE'])) # ax = sns.boxplot(synData['SYNERGY_SCORE'], orient = 'h') ax.set(xlabel

问题 I'm trying to determine if portion of the picture contains red-white striped object (liftramp). If it is present, it looks like this: , and when not like this: The naive approach was to extract histogram, and count if there is more red pixels than blue/green ones: use Image::Magick; my $image = Image::Magick->new; my $rv = $image->Read($picture); #$rv = $image->Crop(geometry=>'26x100+484+40'); my @hist_data = $image->Histogram; my @hist_entries; # Histogram returns data as a single list, but

问题 I am wondering if there is any build in function or an easy way to plot a histogram of elements of a 2d array . For example, if A=rand(100,1) , then A is an 1D array , and hist(A) can do the histogram. However, what if A=rand(100,100) , and I would like to make a histogram on elements of A , just like treating each element in A as an element on a 1D array . Is there a easy way to do so? 回答1: You just have to reshape A into a vector, then you can use hist as usual: hist(A(:)) 回答2: This command

问题 So I have an image that has some dark spots, and they look pretty simple so I think I can creaat an luminance map, invert it and then apply it to my image to undo the dark spots. However all I can find is two methods for equalizing: equalize whole image(with histogram) or segment the image in dark meddium and light parts and equalize which you want. The first approach does not help my problem and the second approach also makes the dark objects in the image lighter. I am sure there is an easy

问题 I am trying to create multiple columnstacked histograms in gnuplot using the newhistogram command. The data share the same structure so I want the boxes to share the same key like in this question, but with a pattern fillstyle (not only color). My script looks like this: set style data histogram set style histogram columnstacked set style fill pattern set boxwidth 0.75 set xtics ("fff" 0, "ggg" 1, "hhh" 3, "iii" 4) set grid y set border 3 # remove top and right plot-border set key outside