Opencv Sample Video

Triplanar Sample Node The Triplanar Sample node is a special node that textures a model using a "Triplanar Mapping" technique. OpencCV is a multi-platform library, but this article will be focused only on OpenCV using Linux operating system ( although, just the installation of the OpenCV library and video camera is platform-specific, all examples in this article should compile on any platform where. cpp; samples/cpp/connected_components. opencv video free download. The project in this, how to use OpenCV with Java under Eclipse IDE platform. Tutorials implementing different computer vision algorithms are also provided. There are several libraries that are capable and compatible with OpenCV such as ZBar. PIL is not needed as the video streams in OpenCV are already in numpy arrays (PIL is also a very big overhead specifically when using it for reading in the images aka video streams) No “with” statement for the TensorFlow session as this is a huge overhead especially when every time the session needs to be started after each stream. Handy is a hand detection software written in C++ using OpenCV v3. These code samples are a good starting point for developers who wish to develop more robust computer vision and analytic solutions. Its argument can be either the device index or the name of the video file to be read. It is simple video capture application using Windows form with Visual C++. OpenCV-Python Tutorials. Download OpenCV for Unity Sample apk 2. When working with video files and OpenCV you are likely using the cv2. Its argument can be either the device index or the name of the video file to be read. Import OpenCV and its dependencies. In case you need it here is the original InkScape SVG. , objects the centroid tracker has already seen before) and (2) new object centroids between subsequent frames in a video. I am using OpenCV 2. Start Cmake-gui. The guide gives essential steps for get up and running latest OpenCV-C++ library inside Visual Studio 2017 on a PC running Windows OS. Sample applications are developed throughout the course that you can execute and use in your own projects. Contribute to opencv/opencv development by creating an account on GitHub. imread() Python OpenCV cv2. Install via PyPi using Pip / PipEnv: pip install flask_opencv_streamer. OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on Images or videos. If you do not have the time to read the entire post, just watch this video and learn the usage in this section. In this video on OpenCV Python Tutorial For Beginners, I am going to show How to Find Motion Detection and Tracking Using Opencv Contours. After flying this past weekend (together with Gabriel and Leandro) with Gabriel’s drone (which is an handmade APM 2. This tutorial covers SIFT feature extraction, and matching SIFT features between two images using OpenCV’s ‘matcher_simple’ example. How to create a 3D Terrain with Google Maps and height maps in Photoshop - 3D Map Generator Terrain - Duration: 20:32. MATLAB provides integration with OpenCV through the OpenCV C++ API. cpp; samples/cpp/convexhull. Allowing OpenCV functions to be called from. Learning Image Processing with OpenCV - Sample Chapter - Free download as PDF File (. vec), negative images, tell it to write its output into the classifier directory of our repository and the sample size (-w and -h). Let's see how to play a video using the OpenCV Python. Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Shift frames. 0, make a folder called “mybuild”. cpp; samples/cpp/cout_mat. While the original implementation is based on SIFT, you can try to use SURF or ORB detectors instead. whenever you will create new project you will have to include OpenCV libraries This tutorial will guide you by making a sample program that will load an image from local drive and display it. Write a program to do each of the following problem. vec file containing the positive images. Tutorials implementing different computer vision algorithms are also provided. It allows to write code using opencv in a very simple way, making the primitives opencv a part of Processing language. Test Case Sample. In his research, he has used Kinect, OpenNI, and OpenCV to recognize Brazilian sign language gestures. The project is about how to capture video from webcam and video file (*. Open Source Computer Vision Library. Did someone succeeded in acquiring a video stream from a USB camera (or with the TX1 CSI camera module) through the OpenCV' VideoCapture() function? Is there some sample code to follow? I've read that a possible workaround is using GStreamer but I have never used it and the documentation for it in relation to OpenCV is poor at best. The examples/ folder contains the folders with algorithm names. 0-dev for Python2 on Windows using CMake and Visual Studio; Cascade Classifiers; Contrast and Brightness in C++; Creating a Video; Display Image OpenCV; Drawing Functions in Java; Drawing Shapes (Line, Circle, , etc) in C++; Edge detection. His books include OpenCV 4 for Secret Agents, OpenCV 3 Blueprints, Android Application Programming with OpenCV 3, iOS Application Development with OpenCV 3, Learning OpenCV 3 Computer Vision with Python, and Python Game Programming by Example, published by Packt. Each frame of the video is considered as a single image,and then processed on. The steps should stay the same for other distros, just replace the relevant package manager commands when installing packages for the build. Net wrapper to the OpenCV image processing library. This project demonstrate the Visual C++ Configuration. Contribute to opencv/opencv development by creating an account on GitHub. Test Case Sample. cpp; samples/cpp/contours2. All the tutorials consist of OpenCV C++ example programs in order to make you understand and try it on your computer easily. Print these out and glue to a piece of cardboard. Affine invariant feature-based image matching sample. A good guide for beginners to learn OpenCV with a lot of example codes. Conclusion OpenCV is for image/video processing and computer vision. Faster video file FPS with cv2. Lucas-Kanade Optical Flow in OpenCV¶ OpenCV provides all these in a single function, cv2. This will help developers who love Java and OpenCV environment. 4' into merge-3. The algorithm is pretty simple yet produces surprisingly good stabilization for panning videos and forwarding moving (eg. A sample code reproducing the problem helps us the most. OpenCV The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample cod. OpenCV is an open source computer vision and machine learning software library designed for computational efficiency and real-time applications. OpenCV provides a very simple interface to this. Then you start a loop, calling the. Learn how to detect objects in single video frames from camera feeds with Keras, OpenCV, and ImageAI we’ve provided a sample video that you can download and use. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision. Conclusion OpenCV is for image/video processing and computer vision. Last update: July 30. Release resources. cpp; samples/cpp/contours2. OpenCV video editing tutorial, access camera, save, read and modify video files code in C++14. The challenge: OpenCV focuses on video processing but acquiring a Directshow device to work in cooperation will be the challenge! KEYWORDS: UNABLE TO SELECT USB DEVICE/ MULTIPLE DEVICES/ CAPTURE CARD IN OPENCV Solution:. Learn how to implement a motion detection use case using a sample application based on OpenCV, Kafka and Spark Technologies. How to create a 3D Terrain with Google Maps and height maps in Photoshop - 3D Map Generator Terrain - Duration: 20:32. using GPU, TBB, OpenCL, etc. Motion Detection using OpenCV //Create video to output to. 05 with GNU compiler on Windows 7 operating system. Scarica in modo facile e veloce i migliori software gratuiti. txt et qui va contenir seulement (je fais au plus simple) :. 0 out Q1 2015 ! music: Aaren Reale - Bal de Nuit Lluis Gomez i Bigorda - Improve and expand Scene Text Detection module in Open. VideoCapture function. OpenCV Python Program to analyze an image using Histogram In this article, image analysis using Matplotlib and OpenCV is discussed. The algorithm is pretty simple yet produces surprisingly good stabilization for panning videos and forwarding moving (eg. We decided not to add…. cpp; samples/cpp/camshiftdemo. Initially XCode can be an intimidating environment, but past all the windows and complex sections, it boasts a number of beneficial features that aid and simplify programming – which for newcomers to openCV are a must. I’ve been mucking around with video stabilization for the past two weeks after a masters student got me interested in the topic. Early Access books and videos are released chapter-by-chapter so you get new content as it’s created. Hey, Im having issues letting my code work. Reading a Video. For me it's present in OpenCV-2. Conclusion OpenCV is for image/video processing and computer vision. Filter Images and Videos The image filtering is a neighborhood operation in which the value of any given pixel in the output image is determined by applying a certain algorithm to the pixel values in the vicinity of the corresponding input pixel. OpenCV is an open source computer vision and machine learning software library designed for computational efficiency and real-time applications. How to create a 3D Terrain with Google Maps and height maps in Photoshop - 3D Map Generator Terrain - Duration: 20:32. OpenCV Linking Guide First, install OpenCV library and link it with C compiler ( I am using Microsoft Visual studio in Windows platform). float fVarMin¶ Parameter used to further control the variance. read method of cv2. Early Access books and videos are released chapter-by-chapter so you get new content as it’s created. It’s just for running inference on images/videos. While the original implementation is based on SIFT, you can try to use SURF or ORB detectors instead. Learn the basic image processing functions available in OpenCV through the examples provided in the blog. Your web browser doesn't support WebRTC and WebAssembly. float fVarMax¶ Parameter used to further control the variance. If I use RAW, there isn't an error, but Windows Video player won't open it. Send the foreground mask to cvBlob or OpenCVBlobsLib. If you do not have the time to read the entire post, just watch this video and learn the usage in this section. In this tutorial, we will learn Face Recognition from video in Python using OpenCV. OpenCV Object Tracker Demo. Use the Open Source Computer Vision Library (OpenCV) with MediaFrameReader. MATLAB ® and OpenCV are complementary tools for algorithm development, image and video analysis, and vision system design. To set the object/color to track, click and drag a box on the video using the mouse. The image format is chosen based on the filename extension (see imread() for the list of extensions). I wonder if anyone here would able to give me some advice for source code for the following: 1) Using a dialog-based application in C++6. cpp; samples/cpp/contours2. Conceptually video [stream] can be thought as a sequence/stream of images. picture control) using OpenCv (without using directshow)?. In this post we will see How to Install OpenCV in Ubuntu for C/C++ OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. 5 -maxidev 40 -w 160 -h 20" The important arguements in the above command, to be discussed are positives. There are a number of enquiries about the people detection video I did a while ago. The major steps were: memory allocation had to reworked and adapted. Homography RANSAC. When working with video files and OpenCV you are likely using the cv2. All About my Classes. For a complete code example that implements some different effects, see the Camera Frames + OpenCV Sample in the Windows Universal Samples GitHub repo. Video capture sample. Bytedeco makes native libraries available to the Java platform by offering ready-to-use bindings generated with the codeveloped JavaCPP technology. The purpose of this document is to help a reader to get started with Computer Vision library OpenCV on Linux system. In the above example, we have provided a sample image, and wrote some text on the image. $ ~/opencv-master/build$ make -j4 [ 0%] Built target opencv_core_pch_dephelp [ 0%] Built target opencv_ts_pch_dephelp [ 0%] Built target opencv_perf_core_pch_dephelp [ 0%] Built target opencv_test_core_pch_dephelp [ 0%] Automatic moc for target opencv_highgui [ 0%] Built target opencv_imgproc_pch_dephelp [ 0%] Built target opencv_imgcodecs_pch_dephelp [ 0%] Built target opencv_highgui_automoc. It is simple video capture application using Windows form with VC++. It should be a video surveillance system demo by the name of its folder. The first step towards reading a video file is to create a VideoCapture object. Learn how to detect objects in single video frames from camera feeds with Keras, OpenCV, and ImageAI we’ve provided a sample video that you can download and use. We take the first frame, detect some Shi-Tomasi corner points in it, then we iteratively track those. There are several ways to perform vehicle detection, tracking and counting. read method of cv2. Then we just give the data to the widget and issue a redraw request. Example code for displaying (and finding FPS of) gstreamer video in OpenCV. Here is a sample c66x C code with OpenCV API calls: Porting OpenCV to c66x. Note: This step is not part of the sample. OpenCV The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample cod. cpp; samples/cpp/convexhull. Clicca qui. NET environment. The program is intended to capture the video from the webcam and display it. In this tutorial, we will learn Face Recognition from video in Python using OpenCV. This article shows you how to use the Open Source Computer Vision Library (OpenCV), a native code library that provides a wide variety of image processing algorithms, with the MediaFrameReader class that can read media frames from multiple sources simulataneously. Recommendation. You will discover that, though computer vision is a challenging subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you. 4' into merge-3. It should be a video surveillance system demo by the name of its folder. We have written the output image to a file. Ask Question 13. Read more to. VideoCapture('1. If motion detected is above threshold, then print a message. Test Case Sample. dat - Contains the list of positive image paths. OpenCV The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample cod. In this post I will describe the process of of reading, performing any arbitrary image processing algorithm and displaying an image read from a video file, camera or RTSP feed using OpenCV , and the same time keeping the user interface (created using Qt) responsive. Although OpenCV is not optimized for video processing, it has provided a simple API to play videos. sentdex 570,419 views. Samples are not available on Early Access titles, to read this you either need a subscription or to buy this title. This little code-snippet saves image from live video stream (web-camera). 2 in codeblocks" To work on OpenCV with Code Blocks you just need to add some libraries. The joys of open source. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision. The first step towards reading a video file is to create a VideoCapture object. Before getting started, let’s install OpenCV. I’ve been mucking around with video stabilization for the past two weeks after a masters student got me interested in the topic. Starting from the basics of computer vision and OpenCV, we'll take you all the way to creating exciting applications. cpp; samples/cpp/convexhull. Detect humans using OpenCV? Benefiting from both Ch and OpenCV, Ch OpenCV has many salient features. The Github page for the contributions module is here:. What is the role of video streaming data analytics in data science space. OpenCV is a grand collection of image processing functions and computer vision algorithms. The function imwrite saves the image to the specified file. Start Cmake-gui. In this chapter, we will learn how to use OpenCV to capture frames using the system camera. release() Could you help me out, what do I do wrong, the jpeg file is empty after running the code Thanks Zoli. The first step is to download and build the latest OpenCV 2. OpenCV The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample cod. face detection sample code for OpenCV. VideoCapture('1. Let’s go step by step and learn how to capture frames − Step 1: Load the OpenCV native library. This tutorial is articulated around commented samples that shows some OpenCV functionalities with explanations for each of them. OpenCV is the defacto computer vision library - by interfacing with it natively in node, we get powerful real time vision in js. We will see what contours are. Recommendation. dat samples 250 ". Learn the basic image processing functions available in OpenCV through the examples provided in the blog. OpenCV Python Tutorial. Aside from the beginning lines, handling frames from a video is identical to handling for images. A good guide for beginners to learn OpenCV with a lot of example codes. Print these out and glue to a piece of cardboard. (One thing to note here is, dnn module is not meant be used for training. In this video on OpenCV Python Tutorial For Beginners, I am going to show How to Find Motion Detection and Tracking Using Opencv Contours. ROBLEMS – SAMPLE ANSWERS. In this tutorial, we show how to implement image processing and computer vision algorithms in Android using the OpenCV library. NET compatible languages such as C#, VB, VC++, IronPython etc. So I decided to write out my results from beginning to end to detect and recognize my faces. In the remainder of this post, we’ll be implementing a simple object tracking algorithm using the OpenCV library. imread() Python OpenCV cv2. Table Of Contents 1 Class Information 2 Which Version? 3 Tutorials 4 Installing OpenCV 5 How It All Works 6 Sample Programs Nate Kent [email protected] The purpose of this document is to help a reader to get started with Computer Vision library OpenCV on Linux system. Write a program to do each of the following problem. Skip to content. We will see what contours are. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. OpenCV Object Tracker Demo. OpenCV The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample cod. -numNeg specifies how many negative samples are there and -precalcValBufSize and -precalcIdxBufSize how much memory to use while training. 2? Then you can check this post "Setup OpenCV 2. Video Analytics with OpenCV Computer vision technologies for both video analytics and attribution are becoming increasingly important across a number of vertical markets. But if you really want to learn about object tracking, read on. Capture Video from Camera¶. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. Basic - Python OpenCV Examples. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. We will look at how to use the OpenCV library to recognize objects on Android using feature extraction. The first step towards reading a video file is to create a VideoCapture object. Use pip install above instead. Utilise cmake c'est tellement plus simple que de mettre une ligne de commande. Triplanar Sample Node The Triplanar Sample node is a special node that textures a model using a "Triplanar Mapping" technique. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision. How to create a 3D Terrain with Google Maps and height maps in Photoshop - 3D Map Generator Terrain - Duration: 20:32. Import OpenCV and its dependencies. Extract Each Frame from a Video File using OpenCV in Python This post will be helpful in learning OpenCV using Python programming. In this tutorial, I will show you how to capture and play a video from a file or a camera/webcam with OpenCV. This object tracking algorithm is called centroid tracking as it relies on the Euclidean distance between (1) existing object centroids (i. txt -nstages 20 -nsplits 2 -minhitrate 0. In this tutorial, we are going to see some more image manipulations using Python OpenCV. If you do not have the time to read the entire post, just watch this video and learn the usage in this section. 1/samples directory. It does not go as far, though, as setting up an object recognition demo, where you can identify a trained object in any image. So I decided to write out my results from beginning to end to detect and recognize my faces. I'm curious that this OpenCV for UWP library can load on premise video contents, using live cam instead. Here is a quick overview of how I installed OpenCV on my Raspberry Pi with debian6-19-04-2012. Motion Detection using OpenCV //Create video to output to. 2 in codeblocks" To work on OpenCV with Code Blocks you just need to add some libraries. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. 3 to try out the following. It should be a video surveillance system demo by the name of its folder. This is the personal page of Arnaud Ramey. How to write video file in OpenCV 2. 0) サンプルによっては,2. People are using node-opencv to fly control quadrocoptors, detect faces from webcam images and annotate video streams. In the above example, we have provided a sample image, and wrote some text on the image. GitHub Gist: instantly share code, notes, and snippets. This project demonstrate the Visual C++ Configuration. All are optional, but must be used cumulatively. cpp; samples/cpp/camshiftdemo. th, 2018 Page 5 of 29. The function imwrite saves the image to the specified file. How to write video file in OpenCV 2. NET environment. We decided not to add…. edu OpenCV Overview January 28, 2016 2 / 33. Shift frames. Introduction. Usage is quite straight forward. This application will be able to decode these 4:2:0 formats. Tutorials implementing different computer vision algorithms are also provided. 3 to read and write a video file. pdf), Text File (. VideoCapture and OpenCV. I have the sample compile and link fine, but for some reason it crashes at cvAbsDiff(colourImage. vec), negative images, tell it to write its output into the classifier directory of our repository and the sample size (-w and -h). This sample highlights the pipeline for calculating lane borders from a front-view camera video. Flask-OpenCV-Streamer. cpp; samples/cpp/camshiftdemo. In this OpenCV Python Tutorial blog, we will be covering various aspects of Computer Vision using OpenCV in Python. ,i need examples like that to learn and any resources ?. Capture Video from Camera¶. I'm trying to extract the first frame of a sample video file with OpenCV however it doesnt work: import cv2 f = cv2. Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. Send the foreground mask to cvBlob or OpenCVBlobsLib. And OpenCV actually has some very good tools to recover horizontal disparity, that can be seen in this sample. 5 -maxidev 40 -w 160 -h 20" The important arguements in the above command, to be discussed are positives. It is a step by step explanation of what I have done. The commands supported are the most important, however, it is not enough. Posted by idojun 13 1月 2010 Under: opencv-2. py, but uses the affine transformation space sampling technique, called ASIFT [1]. 0ではコンパイルできないものもあります.. cpp; samples/cpp/contours2. dat negatives. The application shows how to use. Sample applications are developed throughout the course that you can execute and use in your own projects. The purpose of this document is to help a reader to get started with Computer Vision library OpenCV on Linux system. OpenCV The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample cod. ถ้าจะแค่ลองเปลี่ยนภาพสีเป็น gray scale หรือ จับก้อนสีที่เราสนใจ (connected component)อะไรแบบนี้ ก็ไม่จำเป็นต้องยึดติดกับ openCV หรอกครับ ภาษาทั่วๆไป อย่าง Java เองก็. cpp; samples/cpp/convexhull. You wont need tensorflow if you just want to load and use the trained models (try Keras if you need to train the models to make things simpler). Beyond that, the major issue is that OpenCV has a C++ API. Ask Question 13. Faster video file FPS with cv2. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. OpenCV bindings for Node. 2 for Android. Tutorials implementing different computer vision algorithms are also provided. How to write video file in OpenCV 2. The installer will create an OpenCV directory under your Program Files. vec file containing the positive images. 0-dev for Python2 on Windows using CMake and Visual Studio; Cascade Classifiers; Contrast and Brightness in C++; Creating a Video; Display Image OpenCV; Drawing Functions in Java; Drawing Shapes (Line, Circle, , etc) in C++; Edge detection. Computer vision technologies for both video analytics and attribution are becoming increasingly important across a number of vertical markets. png Python – Write Text at the center of the image. YOLO Object Detection with OpenCV and Python. OpenCV (Open Source Computer Vision) is a computer vision library that contains various functions to perform operations on Images or videos. I use the XCode 4 in OSX Lion with OpenCV 2. Oddly if I use DIB, I get an ffmpeg error, but the video is saved fine. cpp; samples/cpp/convexhull. Faster video file FPS with cv2. edu OpenCV Overview January 28, 2016 2 / 33. In his research, he has used Kinect, OpenNI, and OpenCV to recognize Brazilian sign language gestures. th, 2018 Page 5 of 29. Allowing OpenCV functions to be called from. Initialize values. In the present era, OpenCV becomes a very strong tool for machine learning with the help of computer vision this become easier. OpenCV; OpenCV Sample Code for Windows which is a codec mainly used for decoding of video. You will also learn some of the intermediate level topics like finding contours in the image, capturing video from camera, blending images, writing text on the image, etc. txt et qui va contenir seulement (je fais au plus simple) :. 1 on Raspbian image and I would like to build/run some of the C/C++ programs located under the ~/OpenCV-2. 1 release and after the OpenCV core team has moved back to Intel we are pleased to announce OpenCV 3. Porting OpenCV to TI c66x proved to be a straightforward process (we ported OpenCV version 2. The VideoCapture class of the org. Intro and loading Images - OpenCV with Python for Image and Video Analysis 1 - Duration: 14:07. In this tutorial, you will be introduced to the basic functions and usages of the OpenCV library. The function imwrite saves the image to the specified file. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. Aside from the beginning lines, handling frames from a video is identical to handling for images. A Python package for easily streaming OpenCV footage, even with authentication. Also the sample provides: an example of procedural video generation by an object, mimicking: the VideoCapture interface (see Chess class). Apply Gaussian blur to distance mapping. - opencv_show_webcam_detect_face. Bytedeco makes native libraries available to the Java platform by offering ready-to-use bindings generated with the codeveloped JavaCPP technology. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: