Cv2 Inpaint Python Example

Download the 32-bit (x86) version. imshow('original',image). Now run the code $ python recognizer. The function may be used to remove dust and scratches from a scanned photo, or to remove undesirable objects from still images or video. For those who are trying to use 3. First I will demonstrate the low level operations in Numpy to give a detailed geometric implementation. In this tutorial, we'll be covering thresholding for image and video analysis. OpenCV is an open source Computer Vision and Image Processing Library made up of over 2500 algorithms. Unlike most examples on the internet, I specifically stated in the comments section at the top exactly what hardware and software versions were used to make this project successful. I would like to remove green quoted watermark from my image. net Recommended Python Training - DataCamp. For example, a pure blue pixel on your computer screen would have a B value of 255, a G value of 0,. It is really helpful. "Cap" contains a pointer to the address of this camera. 4 and Win 10). So here is the list of steps from our first tutorial what we should do to get our final stitched result: 1. 3 (Anaconda) and I use lib cv2 but it doesn't work. Several algorithms were designed for this purpose and OpenCV provides two of them. Make sure the ZED Python API is installed before launching the sample. Learn how to setup OpenCV-Python on your computer! Gui Features in OpenCV Here you will learn how to display and save images and videos, control mouse events and create trackbar. inpaint() First algorithm is based on the paper **”An Image Inpainting Technique Based on the Fast Marching Method”** by Alexandru Telea in 2004. We should specify the width and height of kernel. NamedWindow("camera", 1). I would like to remove green quoted watermark from my image. imread('lena. The python-catalin is a blog created by Catalin George Festila. Contribute to makelove/OpenCV-Python-Tutorial development by creating an account on GitHub. Inpaint(src, inpaintMask, dst, inpaintRadius, flags) The parameters are: src: Input 8-bit 1-channel or 3-channel image. #!/usr/bin/env python ''' Robust line fitting. Hi, I'm trying to run the tutorial provided here. In this tutorial, we are going to see some more image manipulations using Python OpenCV. Make sure the ZED Python API is installed before launching the sample. OpenCV is a free open source library used in real-time image processing. OpenCV Python (Image Masking using Inpaint Function) Please help!! I am using Python IDLE to edit and run script I need help with modifying the following inprint. INPAINT_TELEA). Contrast the for statement with the ''while'' loop, used when a condition needs to be checked each iteration, or to repeat a block of code forever. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. Readers can skip the math if they like and still use the example code. Learn how to develop GUI applications using Python Tkinter package, In this tutorial, you'll learn how to create graphical interfaces by writing Python GUI examples, you'll learn how to create a label, button, entry class, combobox, check button, radio button, scrolled text, messagebox, spinbox, file dialog and more. net Recommended Python Training – DataCamp. There are docs on the c++ bindings. Template Matching with Multiple Objects In the previous section, we searched image for Messi s face, which occurs only once in the image. Unfortunately, its development has stagnated, with its last release in 2009. Python Setup and Usage how to use Python on different platforms. Remove background tutorial - opencv 3 2 with python 3. In this tutorial, we discussed how we can recognize handwritten digits using OpenCV, sklearn and Python. In this tutorial, you wrote a script that uses OpenCV and Python to detect, count, and extract faces from an input image. if you want you can remove this line to see a regular output. So here is the list of steps from our first tutorial what we should do to get our final stitched result: 1. This OpenCV tutorial is for beginners just getting started learning the basics. If you don't have any video, no need to worry. Installation and Usage. This post will be helpful in learning OpenCV using Python programming. Assuming we are talking about the code I posted, can I ask you if the other functions above the one you reported (gray, thresh, dilation) works ?. mplot3d import Axes3D import matplotlib. 1)的追踪算法时,代码运行出现module ‘cv2. If you want to use cv2. Python is a good choice for this application, due to its ease of rapid prototyping and existing bindings to the OpenCV library. This is a complete Python programming tutorial (for both Python 2 and Python 3!). destroyAllWindows() simply destroys all the windows we created. In this tutorial you will learn how to extract text and numbers from a scanned image and convert a PDF document to PNG image using Python libraries such as wand, pytesseract, cv2, and PIL. The name "telea" is from the author (Alexandru Telea) of the paper â An Image Inpainting Technique Based on the Fast Marching Methodâ cv. inpaint function. You can also save this page to your account. Inpaint(src, inpaintMask, dst, inpaintRadius, flags) The parameters are: src: Input 8-bit 1-channel or 3-channel image. jpg', -1) to read and image, cv2. In this tutorial, you wrote a script that uses OpenCV and Python to detect, count, and extract faces from an input image. namedWindow("Gaussian Blur") cv2. Python is a computer programming language. waitKey() is a keyboard binding function. Details and examples of its use are available in the Python documentation. 1)的追踪算法时,代码运行出现module ‘cv2. cartToPolar taken from open source projects. This tutorial is a follow-up to Face Recognition in Python, so make sure you've gone through that first post. OpenCV Python Examples (Camera Capture) For the C++ implementation see this and this post. Control of your Appliances and IoT Devices at your Fingertips with Flask. Sample Code. A digital image in its simplest form is just a matrix of pixel intensity values. Luckily for you, there's an actively-developed fork of PIL called Pillow - it's easier to install, runs on all major operating systems, and supports Python 3. In this tutorial, we'll be covering thresholding for image and video analysis. The two main contributions of the research are the use of instance-level semantic label maps and the ability to generate diverse results given the same input label. OpenCV: Operations on arrays hconcat() OpenCV: Operations on arrays vconcat() Pass a list of images (ndarray), an image (ndarray) in which the ima. INPAINT_TELEA). The function reconstructs the selected image area from the pixel near the area boundary. We trained a Linear SVM with the HOG features of each sample and tested our code on 2 images. The primary function I used in this approach is the cv2. w3schools. This sample script could serve as a starting point for developing your own OpenCV or Deep Learning applications. OpenCV-Python supports all the leading platforms like Mac OS, Linux, and Windows. Perone / 26 Comments The new generation of OpenCV bindings for Python is getting better and better with the hard work of the community. Canny(img,50,150,apertureSize = 3) dst = cv2. Learn more about how to make Python better for everyone. I guess inpaint was capable of removing any watermark from the images. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. inpaint() function with a parameter cv2. Quick link: tegra-cam. Hello everyone, this is part two of the tutorial face recognition using OpenCV. If it is, we bail on the while loop. pyplot as plt import matplotlib as mpl import pandas as pd % matplotlib nbagg aruco_dict = aruco. # Bluring/Smoothing example using a 1D Gaussian Kernel and the # sepFilter2D function to apply the separable filters one at a time. The Python Path "Because the geeks shall inherit the properties and methods of object Earth" -heard on Slay Radio. py, Camera will open and try to recognize face if everything is well. If you liked this article and would like to download code (C++ and Python) and example images used in this post, please subscribe to our newsletter. INPAINT_TELEA Method by Alexandru Telea. line(img, Point pt1, Point pt2, color further check it once at python online course. imread('chess. Python strongly encourages community involvement in improving the software. The OpenCV bindings are called cv2 in Python. Unfortunately, its development has stagnated, with its last release in 2009. 1 His tutorial does an excellent job showing you how to install OpenCV for a Homebrew Python virtual environment. Let's go through the process step by step. Roughly speaking, a demo is made up of an initialization script. OpenCV-Python is not only fast (since the background consists of code written in C/C++) but is also easy to code and deploy(due to the Python wrapper in foreground). Once a pixel is inpainted, it moves to next nearest pixel using Fast Marching Method. destroyAllWindows() cv2. The Python developer community has produced thousands of useful packages that you can incorporate into your own projects. This OpenCV tutorial is for beginners just getting started learning the basics. cvtColor taken from open source projects. Perone / 26 Comments The new generation of OpenCV bindings for Python is getting better and better with the hard work of the community. As an example, we can say that we can easily create face recognizing scheme using this template matching solution. INPAINT_TELEA) I am new to image processing and opencv. import cv2 Then we will need to obtain the image that we want to convert. The actively developed version of the Python Imaging Library is actually called Pillow, which you can install using Python's pip or easy_install tools. Here we develop a simple Python+OpenCV vision module that counts the total number of pips on some dice presented to JeVois. Thanks for your question. Install a version of Python 3 (for which this tutorial is written). You can put just the title of the image and the format (example. For many people, image processing may seem like a scary and daunting task but it is not as hard as many people thought it is. Details and examples of its use are available in the Python documentation. Expand your applications beyond just people counting with the added resources of Ubidots IoT Development Platform. cv2’ has no attribute ‘TrackerCSRT_create’错误提示信息,显示cv2模块中没有TrackerCSRT_create,查阅一些资料发现应该是安装OpenCV方式的问题导致追踪算法不可用。. February 14, 2016 computer vision, graphics, HowStuff, import cv2 # Importing the Opencv Library import numpy as np. The default python version in Jetson Nano is 2. And by the end of the tutorial you’ll be putting together a complete project to count basic objects in images using contours. If you are selecting an image from an alternate location, make sure you pass the full location as the parameter to the function cv2. 0 { wait inde nitely cv2. What method should I do for removing background watermarks. Inside this guide, you'll learn basic image processing operations using the OpenCV library using Python. Contribute to Python Bug Tracker. In this video on OpenCV Python Tutorial For Beginners, I am going to show How to Read, Write, Show Images in OpenCV. Install Python OpenCV 3 on Windows with Anaconda Environments May 31, 2017 By Chris Conlan 49 Comments Recently, Satya Mallick, founder of learnopencv. import time import cv2 import mss import numpy def screen_record (): try: from PIL import ImageGrab except ImportError: return 0 # 800x600 windowed mode mon = (0, 40, 800, 640) title = "[PIL. When I started my deep learning journey, one of the first things I learned was image classification. If you are selecting an image from an alternate location, make sure you pass the full location as the parameter to the function cv2. Hope you like it, Thank you 🙂. blur() or cv2. In a popular image editing software there is a feature, that patches (The term used in image processing is inpainting as @mınxomaτ pointed out. window = window 7 self. Show images. destroyAllWindows() Also, read: How to create a database in MySQL using Python. OpenCV on Wheels. 6 ? I'm using python 3. 的番外篇,因为严格来说不是在讲Python而是讲在Python下使用OpenCV。本篇将介绍和深度学习数据处理阶段最相关的基础使用,并完成4个有. Learn more. Tutorial de introducción a la programación y uso de la biblioteca OpenCV desde el lenguaje de programación Python, veremos cómo cargar o leer una imagen, aprenderemos a guardar un archivo de imagen en disco, y además capturamos video de la cámara web y lo almacenamos en disco, también veremos cómo podemos reproducir un archivo de video AVI. Install Python OpenCV 3 on Windows with Anaconda Environments May 31, 2017 By Chris Conlan 49 Comments Recently, Satya Mallick, founder of learnopencv. Its argument is the time in milliseconds. FastNlMeansDenoisingMulti ( IEnumerable srcImgs , OutputArray dst , int imgToDenoiseIndex , int temporalWindowSize , float h = 3, int templateWindowSize = 7, int searchWindowSize = 21 ) : void. It converts the CompressedImage into a numpy. Color trackbar/slider using OpenCV Python By the end of this post, you'll have made a pretty basic HSV color trackbar/slider that filters out a range of colors, leaving you with the range of colors that you want to identify. 为此目的设计了几种算法,OpenCV提供了两种算法。两者都可以通过相同的函数访问,cv2. OpenCV Python Examples (Camera Capture) For the C++ implementation see this and this post. pdf - Free ebook download as PDF File (. 的番外篇,因为严格来说不是在讲Python而是讲在Python下使用OpenCV。本篇将介绍和深度学习数据处理阶段最相关的基础使用,并完成4个有. Inpaint(src, inpaintMask, dst, inpaintRadius, flags) The parameters are: src: Input 8-bit 1-channel or 3-channel image. v means vertical and h means horizontal. Face recognition example In this post I will show you a very simple example of how to recognize faces inside an image using Python 3 and OpenCV library. findContours() to find the contours corresponding to the outlines of the faces of the dice. findContours and cv2. destroyAllWindows() Also, read: How to create a database in MySQL using Python. Anyone have a Python2 example using estimateRigidTransform? OpenCV Folks, Does anyone have a cv2 Python example using "estimateRigidTransform" with two sets of (x,y) points? I'm having trouble with the syntax and there are no examples using "estimateRigidTransform" in the opencv/samples/python2 directory, unfortunately. Oct 19, 2017. / 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. 4 and Win 10). ¿Necesitas tratar con imágenes en Python? Hoy tenemos la solución a tu problema! Siguiendo con nuestra serie de articulos con Python y visión por computadora hoy vamos a hablar sobre el tratamiento de Imágenes en Python con Opencv, cargar, mostrar y guardar imágenes serán los temas de hoy. So, let's start the Python Computer Vision tutorial. res = cv2. Syntax - cv2. Open the camera instead of the file using cv2. As input, we will pass the file system path to the image we want to use. The Python code below inpaints the image of the cat using Navier-Stokes. For many people, image processing may seem like a scary and daunting task but it is not as hard as many people thought it is. Roughly speaking, a demo is made up of an initialization script. For example, the second patch along. Sample code is available on GitHub. I am using stock Ubuntu 16. NOTE: I MADE THIS PROJECT FOR SENSOR CONTEST AND I USED CAMERA AS A SENSOR TO TRACK AND RECOGNITION FACES. First, you need to setup your Python Environment with OpenCV. One of them is the PIL, and comes with the distribution Anaconda. They are extracted from open source Python projects. Installation and Usage. OpenCV-Python Tutorials の輝度の分散が最小となるように欠損した画素の色を修復します.このアルゴリズムは cv2. Notice: the total frame count of video captured by opencv often is not correct. waitKey(0) cv2. The function reconstructs the selected image area from the pixel near the area boundary. As an example, we can say that we can easily create face recognizing scheme using this template matching solution. cv as cv import time cv. OK, I Understand. In this tutorial, we will learn how to save image data from ndarray to a file, in OpenCV Python using imwrite() function, with an example. INPAINT_TELEA) I am new to image processing and opencv. Learn how to setup OpenCV-Python on your computer! Gui Features in OpenCV Here you will learn how to display and save images and videos, control mouse events and create trackbar. In the work, we use a subset of publicly available ImageNet dataset and divide data on two sets - tiger cats and non-cat objects, which consist of images of 10 random chosen object types. It converts the CompressedImage into a numpy. findChessboardCorners; Find subpixel coordinates: cv2. So, I don't know whether I'm doing in the correct way or not for performing inpainting. 3 with older Keras-Theano backend but in the other project I have to use Keras with the latest version and a Tensorflow as it backend with Python 3. tm_sqdiff 134 Chapter 1. Install Anaconda 2. *Note: Put everything in a folder both the Python files, HaarCasCade XML file and face_data. First I will demonstrate the low level operations in Numpy to give a detailed geometric implementation. waitKey() is a keyboard binding function. In this section we will perform simple operations on images using OpenCV like opening images, drawing simple shapes on images and interacting with images through callbacks. destroyAllWindows() cv2. Often there would be a need to read images and display them if required. Comparing colors programatically is not as simple as taking the Euclidean distance of the BGR color vectors, because the resultant differences don't correspond well to human color difference perception. Here we develop a simple Python+OpenCV vision module that counts the total number of pips on some dice presented to JeVois. 7, OpenCV 2. Expand your applications beyond just people counting with the added resources of Ubidots IoT Development Platform. I would like to remove green quoted watermark from my image. If it is True, it finds the signed distance. edges = cv2. 0 for making our face recognition app. ImageGrab] FPS benchmark" fps = 0 last_time = time. Goals: The goal is to make you understand how to change the brightness and contrast of the image using Opencv python library. The following are code examples for showing how to use cv2. We will use the above image in our experiments. These are the top rated real world C# (CSharp) examples of InputArray extracted from open source projects. 2 via conda. Contribute to makelove/OpenCV-Python-Tutorial development by creating an account on GitHub. NamedWindow("camera", 1). title (window_title) 8 9 self. I have been looking into the following problem: When you have images with quite different scales or resolution, it is not clear to me how well a convnet trained on low resolution images works on high resolution images or vice versa. OpenCV has been a vital part in the development of software for a long time. We are going to start with a clean version of the last example from our previous tutorial: 1 import tkinter 2 import cv2 3 4 class App: 5 def __init__ (self, window, window_title): 6 self. OpenCV is a highly optimized library with focus on real-time applications. Here we develop a simple Python+OpenCV vision module that counts the total number of pips on some dice presented to JeVois. cv2 (old interface in old OpenCV versions was named as cv ) is the name that OpenCV developers chose when they created the binding generators. Open Source Computer Vision Library. On this tutorial, we will be focusing on. INPAINT_TELEA) I am new to image processing and opencv. If you don't have any video, no need to worry. In this article I will be describing what it means to apply an affine transformation to an image and how to do it in Python. import cv2 Then we will need to obtain the image that we want to convert. In this Python tutorial, we will write a Python program for face and eye detection using OpenCV. You can use the Python Image Library (aka Pillow) to do whatever you want with raw pixels. waitKey(1) & 255 == ord('q'): break Here we've added a check to see if the q key is pressed. In a popular image editing software there is a feature, that patches (The term used in image processing is inpainting as @mınxomaτ pointed out. window = window 7 self. While working with images in Image Processing applications, it is quite often that you need to store intermediate results of image transformations or save the final resulting image. putText() method is used to draw a text string on any image. We'll also add some features to detect eyes and mouth on multiple faces at the same…. Installation and Usage. Opencv Remap Example. imshow(res) displays the video stream in a window with only the yellow colour it eliminates every other colour. For many people, image processing may seem like a scary and daunting task but it is not as hard as many people thought it is. We can build very interesting applications using the live video stream from the webcam. flip = True work. Open source software is made better when users can easily contribute code and documentation to fix bugs and add features. bitwise_not(ori, ori). In a popular image editing software there is a feature, that patches (The term used in image processing is inpainting as @mınxomaτ pointed out. w3schools. cv2 module in the root of Python's site-packages), remove it before installation to avoid conflicts. 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. imshow(), you must call cvui. The Python for statement iterates over the members of a sequence in order, executing the block each time. In this tutorial, we'll be covering thresholding for image and video analysis. NamedWindow("camera", 1). Python Setup and Usage how to use Python on different platforms. Dear readers today we are going to look at how to generate a depth image using 2 stereo images. cv as cv import time cv. tm_ccorr is not good as we expected. However, face detection and feature identification is simple with a Raspberry Pi and the computer vision library OpenCV. I'm trying to inpaint an image using cv2. It is inevitable that this example will become dated and obsolete, but at least someone can figure that out right from the start. The code is pretty simple: import cv2 vc = cv2. INPAINT_TELEA. O'Reilly Resources. OpenCV: Operations on arrays hconcat() OpenCV: Operations on arrays vconcat() Pass a list of images (ndarray), an image (ndarray) in which the ima. Python - Getting started with OpenCV A couple of years ago a colleague of mine created a program to ensure that an item I had designed was calibrated properly. Getting Started with OpenCV and Python: Featuring The Martian If you're curious to find out how to launch yourself into outer space and land on Mars, you've come to the right place. We have scribbled quite extensively over the image of a flower garden, but the results are still very compelling. INPAINT_TELEA) but I don't have mask image. language:python if cv2. 7 contains dist-packages and site-packages while python 3. And this is due to using the learning based model. 7, but the official installation instruction for tensorflow is python 3. When there is no lighting in the room, it works perfectly. Previously, on How to get started with Tesseract, I gave you a practical quick-start tutorial on Tesseract using Python. org; you can typically use the Download Python 3. This post will be helpful in learning OpenCV using Python programming. The python code, trained caffe model and the prototxt file, which includes the text description of the network and some example images to use with our application are available in the github repository if you want to take a look. So, I don't know whether I'm doing in the correct way or not for performing inpainting. If we do the same enlargement using cubic interpolation, we can see that the quality improves, as seen in the following figure. The Python Imaging Library, or PIL for short, is one of the core libraries for image manipulation in Python. You can also save this page to your account. 1 His tutorial does an excellent job showing you how to install OpenCV for a Homebrew Python virtual environment. How to Capture and Display Camera Video with Python on Jetson TX2. Linux Kernel PWM Driver with SYSFS. OpenCV is an open source Computer Vision and Image Processing Library made up of over 2500 algorithms. Hello everyone, this is part two of the tutorial face recognition using OpenCV. minDistance – Minimum possible Euclidean distance between the returned corners. 新建一個predict-app. grab (bbox = mon)) fps += 1 cv2. Alright, so my post Getting Webcam Images with Python and OpenCV 2 was wrong! I did not fully understand how to read the OpenCV API documentation and instead of demonstrating how to capture an image with OpenCV 2, I just demonstrated a way to capture an image with OpenCV 1. Tomas Drutarovsky. waitKey() is a keyboard binding function. OpenCV Python Examples (Camera Capture) For the C++ implementation see this and this post. It also covers popular OpenCV libraries with the help of examples. So, Our GoalIn this session, 1. destroyAllWindows() Also, read: How to create a database in MySQL using Python. Roughly speaking, a demo is made up of an initialization script. 0 for making our face recognition app. When you use cvui. jpg') gray = cv2. mainloop 10 11 # Create a window and pass it to the Application object 12 App (tkinter. Face recognition example In this post I will show you a very simple example of how to recognize faces inside an image using Python 3 and OpenCV library. Trying to do this on a mac was a hellish uphill battle, and opencv in the virtual machine has been… hmm actually pretty okay? Well, I did this on my fresh new triple … Continue reading Aruco in opencv. In the work, we use a subset of publicly available ImageNet dataset and divide data on two sets - tiger cats and non-cat objects, which consist of images of 10 random chosen object types. Python is a computer programming language. In this OpenCV Python Tutorial blog, we will be covering various aspects of Computer Vision using OpenCV in Python. Images and OpenCV. On Line 1 we import the opencv library. OpenCV is a highly optimized library with focus on real-time applications. 9 on Mac OSX with Python Support Other than that, this was a great tutorial and I finally got cv and cv2 to work in python2. inpaint(img_mark, mark, 3, cv2. Canny(img,50,150,apertureSize = 3) dst = cv2. For example: For loop from 0 to 2, therefore running 3 times. txt) or read book online for free. imshow(res) displays the video stream in a window with only the yellow colour it eliminates every other colour. I am trying to create a watermark remover in python using opencv. putText() method is used to draw a text string on any image. import cv2 import numpy as np. O'Reilly Resources. Previously, on How to get started with Tesseract, I gave you a practical quick-start tutorial on Tesseract using Python. import cv2. We trained a Linear SVM with the HOG features of each sample and tested our code on 2 images. cv as cv import time cv. 1 His tutorial does an excellent job showing you how to install OpenCV for a Homebrew Python virtual environment. If it is True, it finds the signed distance. Select the View > Other Windows > Python Environments menu command. cornerSubPix; If both chessboards are found, store keypoints. We use cookies for various purposes including analytics. If you have previous/other manually installed (= not installed via pip) version of OpenCV installed (e. I am trying to create a watermark remover in python using opencv. Face Recognition – OpenCV Python | Dataset Generator In my last post we learnt how to setup opencv and python and wrote this code to detect faces in the frame. Assuming we are talking about the code I posted, can I ask you if the other functions above the one you reported (gray, thresh, dilation) works ?. However, I prefer to use Anaconda to manage my Python virtual environments, so I wrote this tutorial for others who. Tutorial: Run TensorFlow model in Python. I am having python in Ubuntu 12. Cross Language and comes with example code. OpenCV has been a vital part in the development of software for a long time. For Python training, our top recommendation is DataCamp. 以下是Python模块 cv2. 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: