For more information on the SciPy Stack (for which NumPy provides the fundamental array data structure), see scipy. (PIL comes pre-installed with some versions of python and can be easily installed with PIP for other versions and installations) Here is a example th. 784 means 784 pixels. asarray( img, dtype='uint8' ) except SystemError: data = np. Vectorize Image with Python scikit-image Short story: a friend of mine wanted to display an interactive dental chart on the web but most of the images he found was some hand-drawn image which wasn't fit into his site look-and-feel. Available In: 1. It is useful in any situation where your program needs to look for a list of files on the filesystem with names matching a pattern. Python was created out of the slime and mud left after the great flood. This is used to convert the image in byte array; File is used to read a file. Hi, I have generated an array of random numbers and I'm trying to then write this array to a. Like other programming languages (e. You don’t have to know the file format to open a file. hist(subdata1d, bin=50, log=True) Makes the y-axis logarithmic h = pl. Image and then size argument which can be a single integer or tuple of two integers. This paper describes a model of pattern matching implemented using the Python programming language. This tutorial gives enough understanding on. But my try to convert this back into PIL format is failing img = Image. 7 , numpy , scikit-image I am working on detecting certain areas on an image using scikit-image. empty Return a new uninitialized array. Python Solar Heating a product by New Earth Systems. Basics For Displaying Image In Tkinter Python. In fact, to avoid sampling artifacts, the mapping is done in the reverse order, from destination to the source. pixelMap = img. getStatistics(array, min, max, mean, stdDev) - Returns the min, max, mean, and stdDev of array, which must contain all numbers. In this introductory tutorial, you'll learn how to simply segment an object from an image based on color in Python using OpenCV. So what I would do is wrap/subclass a numpy array object/python list and give it a write method as an alias to sticking the image where it belongs, and passing that in instead. Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. imshow works with dense matrix, while Spy works with sparse matrix. In particular, the submodule scipy. We will be building a convolutional neural network that will be trained on few thousand images of cats and dogs, and later be able to predict if the given image is of a cat or a dog. But unlike the traditional matrices you may have worked with back in grade school, images also have a depth to them — the number of channels in the image. The number of dimensions is the rank of the array; the shape of an array is a tuple of integers giving the size of the array along each dimension. errors (Optional) - if source is a string, the action to take when the encoding conversion fails (Read more: String encoding) The source parameter can be used to initialize the byte array in the following ways:. To read files from disk, use the open function in the Image module. Color-image data for multiple images is typically stored in four dimensions. Introduction The objective of this post is to explain how to read and display an image with Python and OpenCV. They are extracted from open source Python projects. Python code to convert a coloured image to grayscale image. Before we jump into the next section, I recommend going through this article - Build your First Image Classification Model in just 10 Minutes!. wkb25Bit osgeo. Python - Numpy • Arrays - A numpy array is a grid of values, all of the same type, and is indexed by a tuple of nonnegative integers. To open and display with those formats, we need help of ImageTk and Image classes from PIL(photo imaging Library). hist(subdata1d, bin=50, log=True, label = ‘pixel. what(filename[, h])¶. image as mpimg img = mpimg. Some of the operations covered by this tutorial may be useful for other kinds of multidimensional array processing than image processing. array([1, 2, 3]) # Create a rank 1. It can be used interactively from the Python command prompt or via Python scripts. In this tutorial. Using a Python recipe? Installing ActivePython is the easiest way to run your project. We will use the Python Imaging library (PIL) to read and write data to standard file formats. Flexibile Image Transport System (FITS) files used for astronomy should be managed with astropy or pyfits. Once this overlap happens, the pixels in the sub-image that the filter is on top of will be multiplied with the corresponding coefficients of the filter. Let's start by loading the next image using OpenCV: 1 import tkinter 2 import cv2 3 import PIL. Beautiful Soup 3 was the official release line of Beautiful Soup from May 2006 to March 2012. Rotate Matrix using Python. Java), we can also convert an image to a string representation in Python. There are a number of factors influencing the popularity of python, including its clean and expressive syntax and standard data structures,. If you want, you can do something like to print the whole array. Python provides many great libraries for text mining practices, “gensim” is one such clean and beautiful library to handle text data. png')); In the matplotlib tutorial they don't cover it. If you have previously worked with sklearn, getting started with skimage will be a piece of cake. In Python, arrays are native objects called "lists," and they have a variety of methods associated with each object. The reason GIMP breaks the image into small pieces like this is so that the whole image doesn't have to be loaded into memory in order to alter one part of it. Tests the image data contained in the file named by filename, and returns a string describing the image type. Information on tools for unpacking archive files provided on python. asarray(img) but it gives a matrix of rank 3, whereas I need a rank 2 matrix as output. ANTIALIAS is best for downsampling, the other filters work better with upsampling (increasing the size). Now, I have some code that will show us what the difference is. Python Bytes, Bytearray: Learn Bytes literals, bytes() and bytearray() functions, create a bytes object in Python, convert bytes to string, convert hex string to bytes, numeric code representing a character of a bytes object in Python, define a mapping table characters for use with a bytes object in Python, convert bytes to hex in Python, how to get the character from the numeric code in bytes. Peace of cake, but it comes out looking strange. If you want a more efficient representation, create scipy sparse matrix, e. It was created by Guido van Rossum during 1985- 1990. This is a deep copy of the NumPy array buffer and is completely safe without potential; side effects. jpg") The image is now treated as a matrix with rows and columns values stored in img. In order to reshape numpy array of one dimension to n dimensions one can use np. However, to facilitate developing algorithms, it is also useful to have access to a wide range of additional libraries and tools for managing code and visualizing results. A two-dimensional array is really nothing more than an array of arrays (a three-dimensional array is an array of arrays of arrays). This outputs the actual parameter estimate (a=0. Last time we used array operations to calculate values for every number (element) in an array: y = sin (x) This is an e cient way to do calculations in Python, but sometimes we need to do something more complicated on each element separately. Like most high-level languages, Python includes many methods that belong to the built-in string type. A slicing operation creates a view on the original array, which is just a way of accessing array data. We'll find an example of this later when calculating π. Or, for compatibility with Python, the PSFLv2. The number of dimensions is the rank of the array; the shape of an array is a tuple of integers giving the size of the array along each dimension. Tags: image , opencv , python. Actually i want to convert a 2D matrix into a vector: your example worked but I was wondering if i can do that with numpy. We won't debate on which library is the best here, they all have their merits. import numpy as np a = np. Whenever you want to index into a collection of items. If you have a list of items (a list of car names, for example), storing the cars in single variables could look like this:. If you want to specify the same RGB or RGBA value for all points, use a 2-D array with a single row. Tags: Blurring/Smoothing Effect Creating a Python numpy array How to read and write image in python Image Processing with SciPy and NumPy Opening a RAW file Python NumPy Python SciPy Reading and Writing to Images SciPy and NumPy Sharpening Effect. array — Efficient arrays of numeric values¶. Matrix rain animation using HTML5 canvas and javascript Cool Ascii Animation using an Image Sprite, Canvas, and Javascript I hope I can use the matrix as a. Thanks Hugh Rawlinson. If you have multiple gures you will generally have to set them for each gure before calling plt. flatten()] is a sequence of a single 1d array, so that. Arrays in Python is an altogether different thing. Join 575,000 other learners and get started learning Python for data science today! Welcome. org interactive Python tutorial. Become a Member Donate to the PSF. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. To rotate an image using OpenCV Python, first, calculate the affine matrix that does the affine transformation (linear mapping of pixels), then warp the input image with the affine matrix. This step configures the Python environment and its dependencies, along with a script to define the web service request and response formats. The first five chapters are an introduction to. Before Image: the input Natural Earth 10m geotiff with the timezone overlay we want to clip out:. Available In: 1. You can vote up the examples you like or vote down the ones you don't like. The Image module provides a class with the same name which is used to represent a PIL image. ParaView offers rich scripting support through Python. To rotate an image using OpenCV Python, first, calculate the affine matrix that does the affine transformation (linear mapping of pixels), then warp the input image with the affine matrix. Okay, so you want to input image data for a Convolutional Neural Network. You can use Idle or any programming editor you have on your computer (including Notes or Notepad). Python matrix is used to do operations regarding matrix, which may be used for scientific purpose, image processing etc. The kit mainly focuses on Pixar's RenderMan interface, but some modules can also be used for OpenGL programs or non-RenderMan compliant renderers like POV-Ray, for example. Execute Python machine learning scripts in Azure Machine Learning Studio. IMAGE RECOGNITION WITH NEURAL NETWORKS HOWTO. Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Introduction The objective of this post is to explain how to read and display an image with Python and OpenCV. Visit our projects site for tons of fun, step-by-step project guides with Raspberry Pi HTML/CSS Python Scratch Blender Our Mission Our mission is to put the power of computing and digital making into the hands of people all over the world. encoding (Optional) - if source is a string, the encoding of the string. reshape() method. For a 640x480 RGB image, this will give you a 640x480x3 array of uint8. Python is a good choice for mathematical calculations, since we can write code quickly, test it easily, and its syntax is similar to the way mathematical ideas are expressed in the mathematical literature. (1 reply) In scipy module, there is a function named misc. The Incredible Growth of Python by David Robinson on September 6, 2017 We recently explored how wealthy countries (those defined as high-income by the World Bank) tend to visit a different set of technologies than the rest of the world. Gregor Thalhammer’s gpyfft provides a Python wrapper for the OpenCL FFT library clFFT from AMD. array([1,2,3], dtype=’float32’). This library is a fundamental library for any scientific computation. Python had been killed by the god Apollo at Delphi. Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O’Reilly. Be sure to learn about Python lists before proceed this article. XlsxWriter is a Python module for creating Excel XLSX files. Python was created out of the slime and mud left after the great flood. pytaglib - Python 3. Perhaps theoretically/under the hood that is correct however a major distinction between the two is the fact that lists accept mixed data types and mixed numeric types, on the other hand array requires a type-code restricting all elements to the determined type:. Add array element. Most of the file formats have headers (initial few bytes) which contain useful information about the file. Python Examples covers Python Basics, String Operations, List Operations, Dictionaries, Files, Image Processing, Data Analytics and popular Python Modules. Someone asked me if it is possible to write image files in pure Python, without any libraries. Binary version 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:. Let's check out some simple examples. Can I save a numpy array as an image? Let's say I have a 2D numpy array, all filled with zeroes and ones. Image processing means many things to many people, so I will use a couple of examples from my research to illustrate. imread ("pyimg. Add array element. Here is a 3-dimensional array of the data. Please note that this dual license only applies to the part of Skulpt that is included in the runtime, and not necessarily to surrounding code for build processing or testing. Like any other GUI module it also supports images i. Read the image using the read() method of the ImageIO class (by passing the ByteArrayInputStream objects to it as a parameter). The data matrix containing every data point as either a row or a column vector. 128 tends to be grey! For color or RGB image It will render. I'm trying to use PIL to write an array (a NumPy array to be exact) to an image. Circular Imports #. image as mpimg img = mpimg. x, y is the position of the pixel and r,g,b are the pixel values. Batch Processing. Hello, I'm having some trouble reshaping a 4D numpy array to a 2D numpy array. shape to get the dimensions of the image. We design and install highly effective, low energy cooling systems using the SolarWhiz high volume roof cooling fan as a compliment to either our Python Roof heat recovery or Air heater panel systems. For data available as a tidy pandas dataframe, the plotly express function px. You have any Image, and for that image to be useful you have to have it as an Array full of numbers. bitLenCount() In common usage, the "bit count" of an integer is the number of set (1) bits, not the bit length of the integer described above. Preamble: Twos-Complement Numbers. Optional: use scipy. A 1 byte datatype will give a bit depth of 8, a 2 byte datatype. python - How to translate a bitmap to an array of bits? Hello everyone! I am going to vacations, but before that I would like to have an insight in how to convert a bitmap image into binary code/HEX. No need to retain everything, but have the reflex to search in the documentation (online docs, help(), lookfor())!! For advanced use: master the indexing with arrays of integers, as well as broadcasting. Python ; How to save Numpy array as image in python? 0 votes. Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more. Python This guide covers configuring continuous integration pipelines for Python projects. It combines the power of many existing open-source packages into a common Python-based interface. The python and Matlab versions are identical in layout to the CIFAR-10, so I won't waste space describing them here. note: this is a slicing trick, and modifying the output array will also change the OpenCV image data. In the previous chapters of our Machine Learning tutorial (Neural Networks with Python and Numpy and Neural Networks from Scratch) we implemented various algorithms, but we didn't properly measure the quality of the output. scikit-image is a Python package dedicated to image processing, and using natively NumPy arrays as image objects. The functions in this section perform various geometrical transformations of 2D images. It will help you understand how to solve a multi-class image classification problem. Here we will learn to apply the following function on an image using Python OpenCV: Bitwise Operations and Masking, Convolution & Blurring, Sharpening - Reversing the image blurs, Thresholding (Binarization), Dilation, Erosion, Opening/Closing, Edge detection and Image gradients,. image as mpimg img = mpimg. imshow(img) i've already thought: -difference between. amin and amax are the values in A that correspond to 0 and 1 in I. you can do this by using opencv [code]import cv2 #opencv array_value=cv2. what (filename [, h]) ¶ Tests the image data contained in the file named by filename, and returns a string describing the image type. asarray(img) but it gives a matrix of rank 3, whereas I need a rank 2 matrix as output. Simple loop parallelization in Python. In the following example, we open an image, crop it and save as new file:. A picture is worth a thousand words, and with Python's matplotlib library, it fortunately takes far less than a thousand words of code to create a production-quality graphic. If you’re new to Drone please read our Tutorial and build configuration guides first. Any feedback is highly welcome. We will be building a convolutional neural network that will be trained on few thousand images of cats and dogs, and later be able to predict if the given image is of a cat or a dog. BytesIO() object, I think) and using it's write method to add to it. The Python Software Foundation ("PSF") does not claim ownership of any third-party code or content ("third party content") placed on the web site and has no obligation of any kind with respect to such third party content. An open source and collaborative framework for extracting the data you need from websites. It aims to be a standalone library that is platform and framework independent, which is more convenient, allows for finer grained control over augmentation, and implements the most real-world relevant augmentation techniques. Python: Convert Image to String, Convert String to Image To store or transfer an image, we often need to convert an image to a string in such a way that the string represents the image. This is used to convert the image in byte array; File is used to read a file. The interface is similar to that of the pnmtopng program from Netpbm. The image on the right is a version of the same image with the channels brought into alignment using a function available in OpenCV 3. Binary version 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:. Python Forums on Bytes. com THE WORLD'S LARGEST WEB DEVELOPER SITE. Time Series Analysis in Python with statsmodels Wes McKinney1 Josef Perktold2 Skipper Seabold3 1Department of Statistical Science Duke University 2Department of Economics University of North Carolina at Chapel Hill 3Department of Economics American University 10th Python in Science Conference, 13 July 2011. This step configures the Python environment and its dependencies, along with a script to define the web service request and response formats. imread ("pyimg. NET, a Python tutorial, and then a walkthrough creating an example structured Python application. This lets you browse the standard library (the subdirectory Lib ) and the standard collections of demos ( Demo ) and tools ( Tools ) that come with it. fromarray(). Even though the libraries for R from Python, or Python from R code execution existed since years and despite of a recent announcement of Ursa Labs foundation by Wes McKinney who is aiming to join forces with RStudio foundation, Hadley Wickham in particularly, (find more here) to improve data scientists workflow and unify libraries to […]Related PostUpdate: Can we predict flu outcome with. Fixing the rotated image “cut off” problem with OpenCV and Python Let’s get back to my original problem of rotating oblong pills and how I used. The number of dimensions is the rank of the array; the shape of an array is a tuple of integers giving the size of the array along each dimension. Pillow for enterprise is available via the Tidelift Subscription. We won't debate on which library is the best here, they all have their merits. Difference between Matrix Arithmetic in OpenCV and Numpy Hi, This is a small post to show you an important difference in arithmetic operations in OpenCV and Numpy. Python matrix is used to do operations regarding matrix, which may be used for scientific purpose, image processing etc. In order to reshape numpy array of one dimension to n dimensions one can use np. Peace of cake, but it comes out looking strange. threshold() function on the image array. We will be building a convolutional neural network that will be trained on few thousand images of cats and dogs, and later be able to predict if the given image is of a cat or a dog. First we open the image using our image processor. Let's check out some simple examples. : import scipy. Now I need to save this array as jpg. The basic idea is to use interpolation to map the original CDF of pixel intensities to a CDF that is almost a straight line. At the prompt, use the python command to run the sample. any`? Tag: python , arrays , python-2. Python T-Shirts and other merchandise featuring the Python logo can be purchased at Cafepress (sales benefit the Python Software Foundation). Python HOME Python Intro Python Get Started Python Syntax Python Comments Python Variables Python Data Types Python Numbers Python Casting Python Strings Python Booleans Python Operators Python Lists Python Tuples Python Sets Python Dictionaries Python IfElse Python While Loops Python For Loops Python Functions Python Lambda Python Arrays. Visit our projects site for tons of fun, step-by-step project guides with Raspberry Pi HTML/CSS Python Scratch Blender Our Mission Our mission is to put the power of computing and digital making into the hands of people all over the world. Here, the following contents will be described. Unfortunately, its development has stagnated, with its last release in 2009. Peace of cake, but it comes out looking strange. Updated on 12 October 2019 at 05:08 UTC. stack() to put the matrices together along a new dimension. Display an image¶ Use the function cv2. The Neuroph has built in support for image recognition, and specialised wizard for training image recognition neural networks. py --help at the shell prompt for usage and a list of options. If a mask is provided, the method returns a histogram for those: parts of the image where the mask image is non-zero. How to Uninstall Python. It is cross-platform, runs on Python 2. You can also save this page to your account. py extension. Python Image Tutorial. The values will be appended at the end of the array and a new ndarray will be returned with new and old values as shown above. A 2-D array in which the rows are RGB or RGBA. Array objects. The objective of this post is to explain how to read and display an image with Python and OpenCV. In the following example, we will read a grey scale image using cv2. introduction to k-nearest neighbors algorithm using python K-nearest neighbors, or KNN, is a supervised learning algorithm for either classification or regression. Information on tools for unpacking archive files provided on python. Here, the following contents will be described. here is a comprehensive resource on numpy array indexing and slicing which can tell you more about things like cropping a part of an image. Introduction¶. By understanding the different image types explained in this article, you'll know exactly how MATLAB turns matrix values into image pixel colors. w3schools. He was appointed by Gaia (Mother Earth) to guard the oracle of Delphi, known as Pytho. If you have a list of items (a list of car names, for example), storing the cars in single variables could look like this:. show() [/code]. Python - Numpy • Arrays - A numpy array is a grid of values, all of the same type, and is indexed by a tuple of nonnegative integers. Converting an image to ASCII image in Python Introduction to ASCII art ASCII art is a graphic design technique that uses computers for presentation and consists of pictures pieced together from the 95 printable (from a total of 128) characters defined by the ASCII Standard from 1963 and ASCII compliant character sets with proprietary extended. The Python Imaging Library, or PIL for short, is one of the core libraries for image manipulation in Python. jpg") The image is now treated as a matrix with rows and columns values stored in img. The answer is, of course, you can implement any image format in pure Python, as long as you have a clear description of the image format and you know how to write binary files. Don Georgevich 1,686,412 views. Learn more about image stack, image import, digital image processing MATLAB. Vectorize Image with Python scikit-image Short story: a friend of mine wanted to display an interactive dental chart on the web but most of the images he found was some hand-drawn image which wasn't fit into his site look-and-feel. The number of dimensions is the rank of the array; the shape of an array is a tuple of integers giving the size of the array along each dimension. To resize an image, OpenCV provides cv2. org is available. The last bullet point is also one of the most important ones from an ecosystem point of view. dtype attributes of datasets. This website is designed to help you in your learning of Python Programming Language. The imghdr module determines the type of image contained in a file or byte stream. """Get an ITK Image of a NumPy array. The Packages There are python packages available to work with Excel files that will run on any Python platform and that do not require either Windows or Excel to be used. But unlike the traditional matrices you may have worked with back in grade school, images also have a depth to them — the number of channels in the image. lena which can return an array of numpy. You can vote up the examples you like or vote down the ones you don't like. Python Forums on Bytes. I am going to send a C++ array to a Python function as NumPy array and get back another NumPy array. By understanding the different image types explained in this article, you’ll know exactly how MATLAB turns matrix values into image pixel colors. How to Call a Function in Python. Python: Convert Image to String, Convert String to Image To store or transfer an image, we often need to convert an image to a string in such a way that the string represents the image. BufferedImage is used to store the image(in our case icon. When the program execution finishes, you should have the gray scale converted image in your file system, at the location you specified in the imwrite function call,. A couple of contributions suggested that arrays in python are represented by lists. NXOpen Python API Reference 11. Low level Python code using the numbapro. Feel free to propose a chart or report a bug. Visit our projects site for tons of fun, step-by-step project guides with Raspberry Pi HTML/CSS Python Scratch Blender Our Mission Our mission is to put the power of computing and digital making into the hands of people all over the world. Code #2: Using map() function and Numpy. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. A slicing operation creates a view on the original array, which is just a way of accessing array data. They just read in the image import matplotlib. For example: A = [[1, 4, 5], [-5, 8, 9]] We can treat this list of a list as a matrix having 2 rows and 3 columns. 128 tends to be grey! For color or RGB image It will render. Let's start by loading the next image using OpenCV: 1 import tkinter 2 import cv2 3 import PIL. If you want, you can do something like to print the whole array. In the following code snippet, we have read an image to img ndarray. To read an image in Python using OpenCV, use cv2. The following are code examples for showing how to use Image. > Peace of cake, but it comes out looking strange. but that gives me the shape of a rectangle of size 512x256, obviously. But unlike the traditional matrices you may have worked with back in grade school, images also have a depth to them — the number of channels in the image. You will see one technique to flatten an array and reshape it for display. Add in a workaround so that Python 2. PythonWare: Contact information. Introduction. >>> Python Software Foundation. The ArrayFire library contains the popular "GFOR" for-loop for running all loop iterations simultaneously on the GPU. imread() function. In this tutorial, we shall the syntax of cv2. Pillow is the friendly PIL fork and an easy to use library developed by Alex Clark and other contributors. im quite a newbie in python. If you want to specify the same RGB or RGBA value for all points, use a 2-D array with a single row. pixels will be a 1-D array: [R value for pixel 0, G value for 0, B value for 0, A value for 0, R value for pixel 1, etc. Here, the binarization processing of dividing into black and white by the threshold will be described. My point is that we can use code (such as Python/NumPy) to better understand abstract mathematical notions. preprocessing. scikit-image is an open source Python package that works with NumPy arrays. To save a file, use the save method of the Image class. gl/Vytcuk Create a quick game board using a 2D array in Python and Processing. In the line you pointed we try to rebuild the original data matrix. Machine learning data is represented as arrays. pyplot as plt. Ramesh Putalapattu. adf as a file extension. Beautiful Soup 4 works on both Python 2 (2. Create an image stack (3-D matrix). reshape() method. They do not change the image content but deform the pixel grid and map this deformed grid to the destination image. max(), array. Simple loop parallelization in Python. OpenCV (cv2) can be used to extract data from images and do operations on them. You can vote up the examples you like or vote down the ones you don't like. They are extracted from open source Python projects. I tried looking for it, but found only copy() thingy, which is not really applicable. The version control history [ 2 ] of the PEP texts represent their historical record. The more generalized formats are JPEG/JPG and PNG. Here, the following contents will be described. The bitmap loader reads X11 bitmap files. I believe the time complexity is O(n2), but I'd like to know for sure, as well as. They are extracted from open source Python projects. When I run a simple example normalization returns a column of all zero's. What is an Array? An array is a special variable, which can hold more than one value at a time. Python This guide covers configuring continuous integration pipelines for Python projects. By default, all columns are considered. This lets you browse the standard library (the subdirectory Lib ) and the standard collections of demos ( Demo ) and tools ( Tools ) that come with it.