By default, MATLAB leaves some empty space for tick labels, axis labels, title, etc. Note that in the example above, I made the axis cover the entire figure (no gray area in the figure). The same holds for the other two margins: Here you can see the bottom and left margins equal to 10mm. If you want to try this yourself, just be aware that some viewers ( Adobe Reader) might be using a custom DPI not matching the system default resolution (mine at 96 pixels/inch). Without a printer at hand, I am using a virtual screen ruler to check the measurements Simply display the PDF file with your preferred viewer, and the set the zoom level at 100% (I am using Sumatra PDF). Set(hFig, 'Units','centimeters', 'Position',/2) %# figure size displayed on screen (50% scaled, but same aspect ratio) YSize = Y - 2*yMargin %# figure size on paper (widht & hieght) XSize = X - 2*xMargin %# figure size on paper (widht & hieght) YMargin = 1 %# bottom/top margins from page borders XMargin = 1 %# left/right margins from page borders Below is an example for producing a PDF file with dimensions 420 x 297 mm (A3 size), where the margins between the plot and the file borders are 10 mm each (top,bottom,left,right). Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009.As explained, you need to set the Paper*** properties of the figure.Please cite it if you intend to use this dataset. This tech report (Chapter 3) describes the dataset and the methodology followed when collecting it in much greater detail. The first 50000 lines correspond to the training set, and the last 10000 lines correspond "0" stands for an image that is not from the tiny db. Where the first image in the tiny db is indexed "1". The file has 60000 rows, each row contains a single index into the tiny db, Here the environment variable name will be replaced with value, where name and value is its parameters. The setenv () function is used to set the specified value of an operating system environment variable. Sivan Sabato was kind enough to provide this file, which maps CIFAR-100 images to images in the 80 million tiny images dataset. Setting environment variables with the help of setenv () function. Indices into the original 80 million tiny images dataset The binary version of the CIFAR-100 is just like the binary version of the CIFAR-10, except that each image has two label bytes (coarse and fine) and 3072 pixel bytes, so the binary files look like this: The python and Matlab versions are identical in layout to the CIFAR-10, so I won't waste space describing them here. Yes, I know mushrooms aren't really fruit or vegetables and bears aren't really carnivores.ĬIFAR-100 binary version (suitable for C programs) Lawn-mower, rocket, streetcar, tank, tractor For example, if your Windows is installed in Chinese, add 'matlab.linterEncoding' : 'gb2312' to your settings.json. Orchids, poppies, roses, sunflowers, tulipsĪpples, mushrooms, oranges, pears, sweet peppersĬlock, computer keyboard, lamp, telephone, televisionīee, beetle, butterfly, caterpillar, cockroachĬamel, cattle, chimpanzee, elephant, kangarooĬrocodile, dinosaur, lizard, snake, turtleīicycle, bus, motorcycle, pickup truck, train Here is the list of classes in the CIFAR-100: SuperclassĪquarium fish, flatfish, ray, shark, trout Each image comes with a "fine" label (the class to which it belongs) and a "coarse" label (the superclass to which it belongs). The 100 classes in the CIFAR-100 are grouped into 20 superclasses. There are 500 training images and 100 testing images per class. This dataset is just like the CIFAR-10, except it has 100 classes containing 600 images each. The class name on row i corresponds to numeric label i. It is merely a list of the 10 class names, one per row. For quarterly average and average all seasons by year, I have no idea in. It's ok Monthly average: I don't know why the output files were 1981 jan, 1982 feb, 1983 Mar. I need to calculate monthly average, quarterly average, annual average and average all seasons by year. This is an ASCII file that maps numeric labels in the range 0-9 to meaningful class names. I have a daily data set (.nc) from 1981 to 2012. Therefore each file should be exactly 30730000 bytes long. The values are stored in row-major order, so the first 32 bytes are the red channel values of the first row of the image.Įach file contains 10000 such 3073-byte "rows" of images, although there is nothing delimiting the rows. The first two arguments define the number of rows and columns that will be included in the grid. The basic form of the subplot() command takes in three inputs: nRows, nCols, linearIndex. The first 1024 bytes are the red channel values, the next 1024 the green, and the final 1024 the blue. The subplot() function in MATLAB/Octave allows you to insert multiple plots on a grid within a single figure. The next 3072 bytes are the values of the pixels of the image. In other words, the first byte is the label of the first image, which is a number in the range 0-9.
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