Crop Contour Opencv Python

How to execute the code: Copy-paste the code in a. Reply Delete. Image Stitching with OpenCV and Python. Take note that in OpenCV 3. you can choose opencv version (*I use opencv 3. Counting blue and white bacteria colonies with Python and OpenCV February 2, 2017 / Alvaro Sebastian / 2 Comments Last week I was teaching to my Polish students how to use the Python packages NumPy , SciPy and Matplotlib for scientific computing. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition. It can be considered as a child of contour 2 (or in opposite way, contour 2 is parent of contour 2a). OpenCV-Python Tutorials. 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 Source: DarkNet github repo If you have been keeping up with the advancements in the area of object detection, you might have got used to hearing this word 'YOLO'. What is the correct line of code to perform this cropping? What is the correct line of code to perform this cropping?. So checking distance to each contour is a time consuming process. Tracking the movement of a finger is an important feature of many computer vision applications. 0 ( or above ) installed with opencv_contrib. It is a real shame that there is no official interface for Node. 1がインストールできました。 サンプルの実行. Example Python Script - OpenCV Get Image Size. In this tutorial we will check how to read an image and convert it to gray scale, using OpenCV and Python. Changing Colorspaces; Image Thresholding; Geometric Transformations of Images; Smoothing Images; Morphological Transformations; Image Gradients; Canny Edge Detection; Image Pyramids; Contours in OpenCV. Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform. Contour Features; Contour Properties; Contours : Getting Started. Session 29: Face Detection using OpenCV-----. where tx denotes the shift along the x-axis and ty denotes shift. Syntax: cv2. Installation and Usage. I can't recall from where I got the traffic video. The question is very basic, it can be solved in two or three steps: 1. This means that the contours don't look smooth, and hence our analysis takes a hit. 2 source image is not modified by this function. The following few posts are a fallout from the Kaggle Diabetic Retinopathy Detection competition. com for a lot of great tutorials related to computer vision with OpenCV + Python. Open When our camera is connected and open, we can initialize our viewer with it: from pypylon_opencv_viewer import BaslerOpenCVViewer viewer. Working Subscribe Subscribed Unsubscribe 6. OpenCVのPython版のfindcontoursについての詳しい説明をネットで探しても見つけられなかったので、自分でいろいろと試してみたことをメモしたいと思います。間違っていた場合は、ご指摘. 4' into merge-3. But what if we want to process the image files without using any external library like OpenCV. Crop black border of image using NumPy. Session 4: Installing Sublime Text Editor for Ubuntu. Counting blue and white bacteria colonies with Python and OpenCV February 2, 2017 / Alvaro Sebastian / 2 Comments Last week I was teaching to my Polish students how to use the Python packages NumPy , SciPy and Matplotlib for scientific computing. In this tutorial, we will check how to draw circles in an image with OpenCV and Python. I decided to go with the color RGB(255,255,255), wherein 255 is the maximum value for each R-G-B respectively, which indicates all colors in the visible spectrum: white. imwrite(' crop. Introduction. Contours and Segmentation In this chapter, we will cover the following recipes: Binarization of grayscale images using the Otsu algorithm Finding external and internal contours in a binary image Extracting … - Selection from OpenCV 3 Computer Vision with Python Cookbook [Book]. 4' into merge-3. Contribute to lony/python-opencv-crop development by creating an account on GitHub. Take note that in OpenCV 3. 18 19:35:49 字数 520 阅读 324 遇到的问题,给了车道线的mask,需要从图像中把里面的存在的车道线抠出来。. In this tutorial, we are going to see some more image manipulations using Python OpenCV. The result "contours" is a Python list, where it contains all objects boundary points as separate lists. txt" which specifies the images and object annotations to # compute an object exposure heatmap saved as heatmap. GetInstance (). 7, Open Source Computer Vision Library. Contourとは等高線を指しますが、輪郭という意味もあります。 OpenCVではcontourを輪郭情報という意味で使用しています。 cv2の中にはfindContoursというcontourを計算する関数があります。 つまり、画像から輪郭を抽出することができます。 たとえば、. All Explained. EVENT_MOUSEMOVE event and at last you need to detect the left mouse button released. Check out the wikipedia page on Image Moments. To sketch contours, we begin as if we were going to draw a surface, creating a grid of `(x,y)` pairs with. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. 点とポリゴン(多角形)のテスト¶. Object Tracking by Color With Python and OpenCV: The objective is to write a script that makes a robot car detecting a blue marker, move towards the marker, read the sign that’s on the marker and follow its direction until a stop sign is found. So, it makes…. It can also be used to draw any shape provided you have its boundary points. To use Basler PyPylon OpenCV viewer you have to call. I'm a newbie with Open CV and computer vision so I humbly ask a question. The usage of putText() function is provided in the following example. 0、OpenCV Contrib 4. Blog What’s in the Works: Improving Feedback for All Users. Specifically. I have this sample, and i would like to be able to get an optimal result like this: Before. by Kardi Teknomo. Code is in Python 3. The following code in python uses OpenCV library which is employed for image processing techniques. Image Processing with Python [Note: This site is not an official Software Carpentry lesson. Includes all OpenCV Image Processing Features with Simple Examples. 4 8c25a8e Mar 23, 2019. (const CvArr* contour)¶ Python:. by Kardi Teknomo. How can I crop images, like I've. If we know the amount of shift in horizontal and the vertical direction, say (tx, ty) then we can make a transformation matrix e. Open() method on you camera if info is not None: camera = pylon. python remove Opencv: Crop out text areas from license text extraction from image using opencv python (2) I have the below image of a single drivers license, I want to extract information about the drivers license, name, DOB etc. OpenCV is a free open source library used in real-time image processing. 7 [Alberto Fernandez Villan] on Amazon. (So there will be 12 of them). You can vote up the examples you like or vote down the ones you don't like. Introduction The objective of this post is to explain how to read and display an image with Python and OpenCV. Learn how to detect and track a particular colour using Python and OpenCV. 점에서 다각형까지 최단 거리 찾기 다른 모양 맞추기 이론 및 코드 1. Today I will show something nice about OpenCV Analysis and Shape Descriptors. Removing contours from an image using Python and OpenCV - PyImageSearch. Python+OpenCVで顔検出. Here is an example. In this post, I would like to introduce how to do this in OpenCV. OpenCV for Python enables us to run computer vision algorithms in real time. Right now I ran the code and it works for me (Python 3. Please, add termination condition in case of video file. If you have any questions regarding OpenCV and its numerous applications, please check out this link. com , a blog all about computer vision, image processing, and building image search engines. The usage of putText() function is provided in the following example. Contours in python. Python OpenCV cv2 Find Contours in Image. To find the different features of contours, like area, perimeter, centroid, bounding box etc; You will see plenty of functions related to contours. 4 and Win 10). I am trying to make a program to analyze cell nucleus, but in order to do so, I need to isolate each nucleus and crop the image in a way that each nucleus will be centered (its center of mass will be in the middle). The key concepts of Computer Vision & OpenCV (using the newest version OpenCV 4) To perform image manipulations such as transformations, cropping, blurring, thresholding, edge detection and cropping. Posted by. Learning OpenCV is a good asset to the developer to improve aspects of coding and also helps in building a software development. Session 4: Installing Sublime Text Editor for Ubuntu. Installation and Usage. it is Open Source and free. If you already have an image of the bare background, then it is simple. before we start, first download opencv, not from pip install version. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. How to Detect Contours in Images using OpenCV in Python. Welcome to a tutorial series, covering OpenCV, which is an image and video processing library with bindings in C++, C, Python, and Java. drawContours has changed. how to find the two points on one contour, which defines the diameter of the minimum enclosing circle of the contour? 2. 3 and Python 3 to automatically crop sheets inside images for later archiving them inside a PDF. Also, to join contours, I put them in a single set and drew a convex hull for that set. imshow("Edges", edged) cv2. c++ opencv crop image-resizing image-segmentation |. To perform image manipulations such as transformations, cropping, blurring, thresholding, edge detection and cropping. Get image size (width, height) with Python, OpenCV, Pillow (PIL) Reading and saving image files with Python, OpenCV (imread, imwrite) Convert BGR and RGB with Python, OpenCV (cvtColor) Python, Pillow: Flip image; Create transparent png image with Python, Pillow (putalpha) Crop a part of the image with Python, Pillow (trimming) Add margins to. OpenCV's SimpleBlobDetector will be the primary function that we will be using. You then need to detect the left mouse button down using the cv2. Image Smoothing using OpenCV Gaussian Blur. In this post, I would like to introduce how to do this in OpenCV. *FREE* shipping on qualifying offers. Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. If you already have an image of the bare background, then it is simple. By the end of this blog article you’ll be able to: Sort contours according to their size/area, along with a template to. In this OpenCV with Python tutorial, we're going to be covering how to reduce the background of images, by detecting motion. 検出した輪郭を描画するには cv2. 7 and OpenCV 2. BannerBob • May 19, 2016. The following few posts are a fallout from the Kaggle Diabetic Retinopathy Detection competition. By Philipp Wagner | May 26, 2012. A full-featured CUDAand OpenCL interfaces are being actively developed right now. 7, OpenCV 3. That's pretty. Here is the working code what I have tried. This post will be helpful in learning OpenCV using Python programming. Example Python Script - OpenCV Get Image Size. findContours(thresh, cv2. So the result you are getting is actually a convex hull of hand, not real hand. I want to separate the foreground from the background and resizing / cropping the original image so that the foreground fits. Browse other questions tagged python opencv image-processing or ask your own question. 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. jpg This will place the cropped image in path/to/image. Early Access puts eBooks and videos into your hands whilst they’re still being written, so you don’t have to wait to take advantage of new tech and new ideas. If you haven't yet installed OpenCV, you can check here how to do it. Welcome to this on OpenCV Python Tutorial For Beginners. In the first part of today’s tutorial, we’ll briefly review OpenCV’s image stitching algorithm that is baked into the OpenCV library itself via cv2. c++ opencv crop image-resizing image-segmentation |. So to find number of objects, find length of list "contours", where in this case, it is one. python remove Opencv: Crop out text areas from license text extraction from image using opencv python (2) I have the below image of a single drivers license, I want to extract information about the drivers license, name, DOB etc. Install OpenCV 3. Installation and Usage. Background extraction comes important in object tracking. They are extracted from open source Python projects. Yesterday I was asked how to extract a contour from a given image in OpenCV. addWeighted() Masking wit. YOLO object detection using Opencv with Python; Simple shape detection - Opencv with Python 3; YOLO V3 - Install and run Yolo on Nvidia Jetson Nano (with GPU) Find and Draw Contours – OpenCV 3. It allows you to select a rectangle in an image, crop the rectangular region and finally display the cropped image. 複雑な形状をした輪郭を,より少ない数の点で表現できる単純な形状によって近似する事が出来ます.近似する点の数はユーザが指定できます.この関数は Douglas-Peucker algorithm を実装したものです.アルゴリズムの詳細についてはWikipediaのページを参照してください.. And that’s really what this does is when we do any kind of detection with, or contour we have to make sure that we’re consistent in OpenCV in particular, OpenCV likes it when our rectangles start at the top left, and then the points are in clockwise order. py Find file Copy path alalek Merge remote-tracking branch 'upstream/3. Tracking the movement of a finger is an important feature of many computer vision applications. Farmers have been adopting each new wave of technology since the invention of the wheel. Sorting Contours using Python and OpenCV - PyImageSearch. Python opencv contour area keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. (So there will be 12 of them). Emgu CV is a cross platform. Qiita初投稿です. はてなブログで需要がありそうな記事の移植になりますが. OpenCV(Python)で画像をトリミング-完全に実力不足な理系大学生からの成長ブログ OpenCVって簡単なことやりたい. Reply Delete. The wrapper can be compiled by Visual Studio, Xamarin Studio and Unity, it can run on Windows, Linux, Mac OS X, iOS, Android and Windows Phone. Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. fitEllipse(con) cv2. ※ OpenCV 3 までは返り値が以下のように3つだったので、OpenCV 3 を使ってる場合は注意。サンプルコードは OpenCV 4 を前提として記載している。 image, contours, hierarchy = cv2. Try to blur your image so that you get less defects. 寻找轮廓的操作一般用于二值化图,所以通常会使用阈值分割或Canny边缘检测先得到二值图。 经验之谈:寻找轮廓是针对白色物体的,一定要保证物体是白色,而背景是黑色,*不然很多人在寻找轮廓时会找到图片最外面的一个框。. 0のサンプルはここからダウンロードし、opencv-4. numpy 세가지가 필수적으로 필요합니다. We can write a program which allows us to select our desire portion in an image and extract that selected portion as well. Have to crop the image on the basis of detection similar to cloudinary. When working with OpenCV Python, images are stored in numpy ndarray. The lower the result, the better match it is. Next comes contour 2a. In this tutorial, you wrote a script that uses OpenCV and Python to detect, count, and extract faces from an input image. Contour 응용 1 이번 시간에는 contour의 호, 둘레와 근사법 등등의 폐곡선 Contour의 특성에 대해 알아보겠습니다. regionprops(). In this article, I talked about some interesting features of the popular OpenCV library used in Node. Image in Pil. matchShapes() to match several contours against a perfect circle contour. com OpenCV Python Tutorial For Beginners 13. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. contour를 사용하기 위해선 비트값 이미지를 사용해. First of all, we draw a perfect circle in an image by using the OpenCV function cv2. So, learning and mastering this fantastic. Contour contour란 같은 값을 가진 값들을 하나의 선으로 연결하는 것을 뜻한다. In this post, we will learn how to find the Convex Hull of a shape (a group of points). Write Text on Image in Python. 7+ on Ubuntu. Browse other questions tagged python opencv image-processing or ask your own question. 0 ( or above ) installed with opencv_contrib. shape: Height is at index 0, Width is at index 1; and number of channels at index 2. Net wrapper to the OpenCV image processing library. c++ opencv crop image-resizing image-segmentation |. Background extraction comes important in object tracking. findContours(). Contours : Getting. / OpenCV Object Tracking by Colour Detection in Python OpenCV Object Tracking by Colour Detection in Python Hi everyone, we have already seen lots of advanced detection and recognition techniques, but sometime its just better with old school colour detection techniques for multiple object tracking. The following few posts are a fallout from the Kaggle Diabetic Retinopathy Detection competition. Contour 응용 1 이번 시간에는 contour의 호, 둘레와 근사법 등등의 폐곡선 Contour의 특성에 대해 알아보겠습니다. and this is a sample of the rectangles that I have succeeded to crop and save as an image. Welcome to this on OpenCV Python Tutorial For Beginners. OpenCV has been a vital part in the development of software for a long time. - Using findContours for contour detection and extracting the largest contour. Python and OpenCV Example: Warp Perspective and Transform - May 5, 2014 […] In my previous blog post, I showed you how to find a Game Boy screen in an image using Python and OpenCV. [Python][OpenCV]OpenCVで余白削除 thresh', thresh) # 輪郭を取得 contours, hierarchy = cv2. So no way you can do it real time. 4/C++/GPU, Python 2. Loading Unsubscribe from Pysource? Cancel Unsubscribe. 3 and Python 3 to automatically crop sheets inside images for later archiving them inside a PDF. Defines the dominant color [R,Y,G,C,B,M] Saturation is the amount of gray in the color, from 0 to 100 percent. It works fine. OpenCV-Python Tutorials It approximates a contour shape to another shape with less number of vertices depending upon the precision we specify. jpg") edged = cv2. In this post, we will learn how to find the Convex Hull of a shape (a group of points). Show us something cool! Tags: Please make sure your post has a tag or it may be removed. • This should allow students to get into doing computer vision sooner and to using more advanced operators than you have time to code yourselves. To start, we will use an image: Feel free to use your own. OpenCV for Python enables us to run computer vision algorithms in real time. InstantCamera (pylon. Python and OpenCV Example: Warp Perspective and Transform - May 5, 2014 […] In my previous blog post, I showed you how to find a Game Boy screen in an image using Python and OpenCV. regionprops(). Before getting started, let's install OpenCV. (So there will be 12 of them). Below is my piece of code in OpenCV-Python. com/momopanda123/Python-OpenCV. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. 9 thoughts on “ Extracting and Saving Video Frames using OpenCV-Python ” Anonymous 27 Apr 2019 at 9:45 pm. OpenCV-Python Tutorials Contour Properties one using Numpy functions, next one using OpenCV function (last commented line) are given to do the same. Code is in Python 3. As selectROI is part of the tracking API, you need to have OpenCV 3. I have successfully used cvFindContours to identify them after using cvCanny and can see the. In this Raspberry pi OpenCV license plate recognition project, we will learn how to recognize and read License Plate Number from automobiles using Raspberry Pi and OpenCV. We can use a. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition. For more info ping me for discussion. /crop_morphology. OpenCV-Python Tutorials. • This should allow students to get into doing computer vision sooner and to using more advanced operators than you have time to code yourselves. OpenCV Python – Save Image. I am trying to make a program to analyze cell nucleus, but in order to do so, I need to isolate each nucleus and crop the image in a way that each nucleus will be centered (its center of mass will be in the middle). In today's post, we are going to learn how to load images, perform color conversion, manipulate images by cropping and resizing, and how to save our new images. I'm new to OpenCV and was hoping to get help on a project I'm working on. Any suggestion is widely accepted. As an OpenCV novice, I searched Google to help me get started with the Python OpenCV code. The lower the result, the better match it is. 0 for this tutorial) Installation after installation is done find file…. See squares. 이미지 모멘트 폐곡선 객체의 무게중심, 객체의 면적등의 특성을 계산할 때 유용합니다. drawContours function is used. OpenCV tutorial: Computer vision with Node. Contribute to lony/python-opencv-crop development by creating an account on GitHub. Flip Image OpenCV Python October 7, 2016 Admin 2 Comments OpenCV provides the flip() function which allows for flipping an image or video frame horizontally, vertically, or both. Python program to crop image with mouse as editor. Contours in python. This post will be helpful in learning OpenCV using Python programming. Hence, I decided to write this article detailing the different (common) functions inside OpenCV, their applications, and how you can get started with each one. Resizing does only change the width and height of the image. findContours - April 28, 2014 […] you're wondering about imutils on Line 2, refer back to my post on Basic Image Manipulations in Python and OpenCV, where I go over resizing, rotating, and translating. 点とポリゴン(多角形)のテスト¶. OpenCV is a well known computer vision library used as base framework used by major companies like Google, IBM, Sony and numerous others. This book is very example driven, with lots of visual examples and tons of code. The newest version of EdiBot relies on contour finding in OpenCV to locate and chase yellow objects. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. A full-featured CUDAand OpenCL interfaces are being actively developed right now. Get image size (width, height) with Python, OpenCV, Pillow (PIL) Reading and saving image files with Python, OpenCV (imread, imwrite) Convert BGR and RGB with Python, OpenCV (cvtColor) Python, Pillow: Flip image; Create transparent png image with Python, Pillow (putalpha) Crop a part of the image with Python, Pillow (trimming) Add margins to. I want to separate the foreground from the background and resizing / cropping the original image so that the foreground fits. The following code in python uses OpenCV library which is employed for image processing techniques. Learn how to detect and track a particular colour using Python and OpenCV. I am putting here a small part of code used to determine only valleys (Minima) in a contour. Therefore, if you want to use both the Pillow function and the OpenCV function, you need to convert. As selectROI is part of the tracking API, you need to have OpenCV 3. matchShapes() to match several contours against a perfect circle contour. 4 and Win 10). Objects Detection in python. This means that the contours don't look smooth, and hence our analysis takes a hit. 1 works with Python 2. Python is actually the language which is mainly used for scientific… these kind of research purpose and all. Thanks for your question. opencv is available on Mac, Windows, Linux. Raspberry Pi Camera and OpenCV 台灣樹莓派 2017/07/28 @NFU. drawContours has changed. I personally believe learning how to navigate OpenCV is a must for any computer vision enthusiast. flip() Rotate imag. Image Processing with Python [Note: This site is not an official Software Carpentry lesson. 4 8c25a8e Mar 23, 2019. 반환값은 (x, y), r로 받아주며 각 값은 float형이기 때문에 int형으로 변환이 필요하다. In this tutorial, you will learn how you can process images in Python using the OpenCV library. Пример программы OpenCV на python для поиска и отображения контуров. \$\endgroup\$ - KenobiShan Jun 24 Crop while keeping the inner all. OpenCV tutorial: Computer vision with Node. 0 ( or above ) installed with opencv_contrib. Raspberry Pi Camera and OpenCV 台灣樹莓派 2017/07/28 @NFU. 0 and Python 2. Image moments help you to calculate some features like center of mass of the object, area of the object etc. I'm new to Python + OpenCV. OpenCV comes with a function cv2. The following are code examples for showing how to use cv2. EVENT_MOUSEMOVE event and at last you need to detect the left mouse button released. [OpenCV] Sign language Recognition Hi guys, Iam trying to write a program which would help me recognize signs in the American Sign Language aplhabet. Also, to join contours, I put them in a single set and drew a convex hull for that set. 저는 기존에 python 3. The usage of putText() function is provided in the following example. Crop images using contrast to background. 4 8c25a8e Mar 23, 2019. 3 and Python 3 to automatically crop sheets inside images for later archiving them inside a PDF. Finally contours 4,5 are the children of 3a, and they come in the last hierarchy level. python remove Opencv: Crop out text areas from license text extraction from image using opencv python (2) I have the below image of a single drivers license, I want to extract information about the drivers license, name, DOB etc. Python is actually the language which is mainly used for scientific… these kind of research purpose and all. Create advanced applications with Python and OpenCV, exploring the potential of facial recognition. Session 28: OpenCV - Image Contours-----Then we will proceed with Contours. contours is a Python list of all the contours in the image. But in many cases, you won't have such an image and so, you will have to create one. Image Stitching with OpenCV and Python. OpenCV is a free open source library used in real-time image processing. Try to blur your image so that you get less defects. 1 and Python 3. 7+ on Ubuntu. createStitcher and cv2. OpenCV를 Python에서 사용하려면 1. Posted by. Active 1 month ago. method parameter - leave alone as 0. Also check the pyimagesearch. - Using HuMoments to find the center of the contour. If you have only these regular shapes, there is a simple procedure as follows : 1. Raspberry Pi Camera + Python + OpenCV (Day2) 1. Imagine we got this tasty apple and we want to put it in another image (with a green background):. 7 and OpenCV 2. Following the Jan 9th air quality open call I wanted to see what can be done with a microscope slide image of airborne particles. 相比C++而言,Python适合做原型。本系列的文章介绍如何在Python中用OpenCV图形库,以及与C++调用相应OpenCV函数的不同之处。这篇文章介绍在Python中使用OpenCV检测并绘制轮廓。 提示: 转载请详细注明原作者及出处,谢谢! 本文介绍在OpenCV-Python中检测并绘制轮廓的. If you already have an image of the bare background, then it is simple. 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: