Opencv Save Image

the Images we work with in this chapter are quite large: You can resize the image. This tutorial introduces the basic concepts of 2d Image Processing using the popular open source library OpenCV. Before we jump into the process of face detection, let us learn some basics about working with OpenCV. Here is the code for converting an image to a string. Load color or grayscale JPG, transparent PNG / TIFF, and 16-bit / channel images. We are going to do a for loop which will save every box the program will find. jpg" is the name of my image. I like to use Canny Edge Detection algorithm. Before that we need to draw a circle from the centre of the image with a radius r=image->width/2=320;. 2 using the 4 connected neighbors and opencv internal function FloodFill. Coming to image processing, OpenCV enables us to perform multiple operations on image, but. By Philipp Wagner | May 26, 2012. It consists of a matrix header and a pointer to the matrix which contains pixels values. cvtColor(numpy. Computer vision applications are the latest buzz of recent time! Big brands such as Microsoft, Apple, Google, Facebook, and Apple are increasingly making use of computer vision for object, pattern, image, and face recognition. jpg",1) input=imread(“apple. It allows one to call OpenCV functions into the. I have worked with openCV for quite sometime now, both in C++ and Python. imwrite() to save an image. There is a difference in pixel ordering in OpenCV and Matplotlib. Mat class is basically used to hold the image. i used this Publisher for publish image and used Subscriber for subscribing images. x in a way different from the example I…. These marking are drawn using OpenCV line and the co-ordinates are find-out using parametric equation of circle. 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. This article aims to learn how to save an image from one location to any other desired location on your system in CPP using OpenCv. When working with OpenCV Python, images are stored in numpy ndarray. In this article, I talked about some interesting features of the popular OpenCV library used in Node. This may be an image that was originally loaded by the Image I/O class from an external image format and perhaps modified using the Java 2D APIs, or it may be one that was created by Java 2D. Closed for the following reason the question is answered, right answer was accepted by berak close date 2016-06-20 06:59:37. 0 20160609 (Ubuntu 5. First, the color histogram of the hue channel from the HSV color space is extracted from the image dataset. In OpenCV, the image size (width, height) can be obtained as a tuple with the attribute shape of ndarray and the attribute size of PIL. imread() andcv2. Using it you can easily do image manipulations by editing the numpy array because the image is used as. A program to count number of faces in collection of images is demonstrated. At line 13 there is a condition: if the box it detect have width and height bigger than 15 pixels, then save the image. Extracting Contours with OpenCV. Bitmap to OpenCV and get a resultant image as System. In this tutorial, you will learn how you can process images in Python using the OpenCV library. Complete guide to install OpenCV Python (with Numpy & Matplotlib) from scratch:. 0 for Python. Simple number of column (width) and rows (height). OpenCV has an cv2. Compile the code and hit “s” without qutoes to save the image. Regards, Michael 25 February 2013 at 09:17. You can find it here. Hi, I've been having a bit of trouble converting images. You can't see it onscreen but when the images are dumped from the PDF, they are extracting in several pieces. Let's start. resize and get hands-on with examples provided for most of the scenarios encountered in regular usage. 9 and ROS Hydro. This method is a part of OpenCV android. How-To: OpenCV Load an Image. Unity is the ultimate game development platform. The skeleton obtained is far from perfect but it is a really simple method compared to other existing algorithms. Specially this article describes, how to pass System. To me, the underlying feeling here is that this kind of thing should be frowned upon. One of the basic operations of OpenCV is the ability to draw over the image. This is the third part of image processing series. In this tutorial, you will learn how you can process images in Python using the OpenCV library. xml file in the same folderJust like in the previous post we will need to do the following first: cv2 library (opencv library) create a video capture object. Once the program has actual physical locations and locations on the image, it can calculate the relation between the two. imread() Store all the images into a list. Here is the code for converting an image to a string. The image windows are closed at the end of the program. Images and OpenCV. There is a difference in pixel ordering in OpenCV and Matplotlib. Then, we'll save. , opencv python display image, opencv python imread, opencv reading an image, opencv image show, c++ opencv load image, opencv load image, opencv save image, opencv python read image, opencv python. resize and get hands-on with examples provided for most of the scenarios encountered in regular usage. OpenCV, which stands for Open (Source) Computer Vision is a substantial library of image processing and computer vision functions. array" which converts the PIL image into a NumPy array. image_width = image_height = 512 box_width = box_height = 128 offset_x = offset_y = 192 counts = 64 stdv = 16 # The build in function int() is used to convert float to int. CvSaveImage("Resultant. To make the calibration work you need to print the chessboard image and show it to the cam; it is important to maintain the sheet still, better if stick to a surface. In this course, instructor Jonathan Fernandes introduces you to the world of deep learning via inference, using the OpenCV Deep Neural Networks (dnn) module. cvtColor does the trick for correcting the colour when converting between PIL and OpenCV Image formats via NumPy. Color image loaded by OpenCV is in BGR mode. 0 intends to close the window within 0 milliseconds. But they are being saved by default into the local folder. You can feed in as many images as possible and generate datasets which can be used for further projects. I have seen the tutorials on how to do this with C++ but not too much in python. We’ll reduce their size (without having to maintain the right length and the width ratio):. As a valued partner and proud supporter of MetaCPAN, StickerYou is happy to offer a 10% discount on all Custom Stickers, Business Labels, Roll Labels, Vinyl Lettering or Custom Decals. OpenCV - Reading Images - The Imgcodecs class of the package org. Java), we can also convert an image to a string representation in Python. Using OpenCV to input a video file and to read each frame then save it to a image file with a Python script. image processing. 28 Jul 2018 Arun Ponnusamy. What Is OpenCV? OpenCV is a Python library which is designed to solve computer vision problems. I am able to show that image but how to save it in computer??. Load and show images with Opencv is a really simple operation. So color images will not be displayed correctly in Matplotlib if image is read with OpenCV. This will be a very simple introductory code. The high resolution image has sizes of around 350KB, while the low resolution image has sizes around 80KB. A program to count number of faces in collection of images is demonstrated. 04; Compiler => gcc version 5. This tutorial will walk you through installing OpenCV into an existing TensorFlow Docker image. You can compile it with Visual Studio as well. OpenCV supports a wide variety of programming languages such as C++, Python, Java etc. 0 intends to close the window within 0 milliseconds. Hi, I've been having a bit of trouble converting images. That's it!. I asked google and I've tried to find something in the API of OpenCV, but hadn't any good hints on split and merge image segmentation method. # The variable random contains a function that is called by adding parentheses. Using OpenCV to Create OpenVX* Input from Image File This includes details on environment setup and build instructions for applications using OpenCV. It's used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. Like other programming languages (e. hi all i am new in opencv and c++ i tray to use this code to split video into images but i cant save the images. OpenCV is a suite of powerful computer vision tools. Here is an example. The crop example is a case where an image is returned after we perform something to do. Have a royalty free, robust and high performance image hash algorithms for your project?Let us admit it, we do not like to solve dependencies issues related to programming, beyond that, many of the commercial project need to remain close source, it would be much better if opencv provide us an image hash module. # The conversion from PIL to OpenCV is done with the handy NumPy method "numpy. This application note provides information on how to install and use OpenCV in Visual Studio. In OpenCV, the image size (width, height) can be obtained as a tuple with the attribute shape of ndarray and the attribute size of PIL. Below is the step by step guide and explanation of our program: First import the OpenCV library: import cv2. In this course, instructor Jonathan Fernandes introduces you to the world of deep learning via inference, using the OpenCV Deep Neural Networks (dnn) module. Pro Processing for Images and Computer Vision with OpenCV is a step-by-step training tool that guides you through a series of worked examples in linear order. waitKey(0) This code to close all open windows. I encourage you to google them , there are lots and lots of examples and code snippets. Java), we can also convert an image to a string representation in Python. openCV is the computer vision library specially designed for c++ and later on ported to python support also. png',"PNG") Use Numpy or Opencv Center of the image represents. Basic tutorial to handle images: reading, displaying and saving them to file. For example, Image. 4 (Dec 2017). OpenCV is released under a BSD license and hence is free for both academic and commercial use. then click Enter to save your note. Method _XYZ is usually the same as Method XYZ except that the operation is performed inplace rather than returning a value. The code was tested in Linux (Ubuntu 10. 0 20160609 (Ubuntu 5. I am posting the code for your reference, below. Image Processing Using OPenCV (Open Computer Vision Library) Henry Ruiz 2. The overall process looks like this. The jpg file is being saved, but it is black. We can load any image file in Opencv C++, python or android. This tutorial will walk you through installing OpenCV into an existing TensorFlow Docker image. It has C++, C, Python and Java interfaces and supports Ubuntu Linux. The Developer Guide also explains details on the samples using CMake* to automatically detect the installed Intel OpenCV package, and setup the paths for include directories, inputs for the linker. First, the color histogram of the hue channel from the HSV color space is extracted from the image dataset. In this tutorial, you will use a pre-trained Haar Cascade from OpenCV to detect and extract faces from an image. Here is a quick overview of how I installed OpenCV on my Raspberry Pi with debian6-19-04-2012. As we have been covering in previous tutorials, OpenCV allows us to read and manipulate images, amongst many other features. Related post: Image processing with Python, NumPy (read, process, save) The follo. So, let us dig deep into it and understand the concept with the complete explanation. One way to do it is to download the image, save it as a jpeg file, and then read it in OpenCV. Like other programming languages (e. png format, using imwrite() function whose first argument takes the image file name and second argument is the image object. jpg Save the image inside your project location. Is there a better way to rewrite this part in python. OpenCV is released under a BSD license, it is free for both academic and commercial use. You can feed in as many images as possible and generate datasets which can be used for further projects. OpenCV C++ and Python examples for reading images (imread). 7 and OpenCV 2. The library is used extensively in. Mat class is basically used to hold the image. I will explain the basic principles of working with images using the open source library called OpenCV - with real-life use cases. Image Manipulation¶ Most image processing and manipulation techniques can be carried out effectively using two libraries: Python Imaging Library (PIL) and Open Source Computer Vision (OpenCV). About tags now imwrite OK 2d-image why not but pattern matching No. The function saves the image in the variable 'img' to a file, specified by 'filename'. imwrite() to save an image. openCV is the computer vision library specially designed for c++ and later on ported to python support also. OpenCV Save Face Detect Image. thanks in advance count = 1 while count < 10: _, pho = webcam. jpg Save the image inside your project location. OpenCV-Python Tutorials • Introduction to 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. This code to show image on variable img. Unity is the ultimate game development platform. imwrite() which i am obtaining after gabor filter. Yesterday I was asked how to extract a contour from a given image in OpenCV. At line 13 there is a condition: if the box it detect have width and height bigger than 15 pixels, then save the image. Most common persisting method is to save the image or the video to a file. imwrite() to read (load) and write (save) image files with Python, OpenCV. Available for C, C++ & python. Lets create the dataset generator script, open your python IDLE and create a new file and save it in your project folder and make sure you also have the haarcascade_frontalface_default. To append multiple images to the first image, call imwrite with the name-value pair argument 'WriteMode','append'. This is the second article of the article series which provide answers to following question! How to call OpenCV functions from C#. This code just take a Input image and resized save to output Mat. OpenCV Python - Resize image Syntax of cv2. In this case we use COLOR_BGR2GRAY (because of cv::imread has BGR default channel order in case of color images). My talk was about using Transfer Learning from and Fine tuning a Deep Convolutional Network (DCNN) trained on ImageNet to classify images in a different domain. If you are interested in using default Android Camera 2 API, you can read my tutorial on Android Camera2 API example. The crop example is a case where an image is returned after we perform something to do. resize() function. the image is of type float32. For a historical reasons cv2. Grey Scaling Image in OpenCV. Most common persisting method is to save the image or the video to a file. Compile the code and hit "s" without qutoes to save the image. Sat Mar 09, 2013 7:20 pm. Processing Forum Recent Topics. Save OpenCV Images in JPEG with Quality and PNG with Compression This post will be helpful in learning OpenCV using Python programming. waitKey(delayTime) in the loop where you are capturing the frames. The Image I/O class provides a simple way to save images in a variety of image formats in the following example:. Before that we need to draw a circle from the centre of the image with a radius r=image->width/2=320;. 4 (Dec 2017). For eg if you set delayTime=50 then fps will be 1000/50 i. All the tutorials consist of OpenCV C++ example programs in order to make you understand and try it on your computer easily. OpenCV means Intel® Open Source Computer Vision Library. output_dir is the path of the folder where you want to save the images. Complete guide to install OpenCV Python (with Numpy & Matplotlib) from scratch:. c++,opencv,computer-vision. Also we can press 's' key to save raw camera image or impro function return value (but only when own_window=False) to image_folder. To understand this tutorial better, please refer to Load & Display Image and Play Video from File or Camera first. This is a short tutorial about using Tkinter, the default Python GUI library, with OpenCV. Recall that MEX (Matlab-EXecutable) files are dynamically linked subroutines from C/C++ code (or Fortran code) that, when compiled, can be run from within Matlab like M-files. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. I'm currently writing a WPF app that makes use of OpenCVDotNet, a wrapper for Intel's OpenCV. This tutorial introduces the basic concepts of 2d Image Processing using the popular open source library OpenCV. I'm currently writing a WPF app that makes use of OpenCVDotNet, a wrapper for Intel's OpenCV. We are going to do a for loop which will save every box the program will find. Complete guide to install OpenCV Python (with Numpy & Matplotlib) from scratch:. 0 & Python – Load, View and Save images on Raspberry; The following examples are all run on Raspberry Pi 3 Model B. You could also try opening the png image with an image editor and saving it again, OpenCV seems to be very picky as far as transparent images go, maybe the png contains some information that is somehow misinterpreted by OpenCV. First, the color histogram of the hue channel from the HSV color space is extracted from the image dataset. The code below will take 30 images of face and save it in the folder. Load color or grayscale JPG, transparent PNG / TIFF, and 16-bit / channel images. It consists of a matrix header and a pointer to the matrix which contains pixels values. This tutorial will walk you through installing OpenCV into an existing TensorFlow Docker image. Saving an image is a very commonly used feature, as we may need to update our image and save the changes to the file system for later use. Extracting Contours with OpenCV. At line 13 there is a condition: if the box it detect have width and height bigger than 15 pixels, then save the image. How big is the resized image is based on the Size. In OpenCV, the image size (width, height) can be obtained as a tuple with the attribute shape of ndarray and the attribute size of PIL. A selection of OpenCV functionality: – – Object classification and tracking – Image enhancement Face detection and recognition Conclusion and further resources. Take a look at the examples in utils to see how to use the class. 7 and OpenCV 2. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. As we have been covering in previous tutorials, OpenCV allows us to read and manipulate images, amongst many other features. It represents an n-dimensional array and is used to store image data of grayscale or color images, voxel volumes, vector fields, point clouds, tensors. This is the second article of the article series which provide answers to following question! How to call OpenCV functions from C#. Here is a list of algorithms you can experiment on to make OpenCV handy. so module is created and the RaspiCam_Cv class available. OpenCV, an acronym for Open so they can integrate advanced capabilities into their software and save the time otherwise required for while the ‘Imgproc’ component functions as an image. In this tutorial we will check how to save an image to the file system using OpenCV on Python. A selection of OpenCV functionality: – – Object classification and tracking – Image enhancement Face detection and recognition Conclusion and further resources. You can compile it with Visual Studio as well. detect faces in the image and save. Recall that MEX (Matlab-EXecutable) files are dynamically linked subroutines from C/C++ code (or Fortran code) that, when compiled, can be run from within Matlab like M-files. OpenCV was originally developed in 1999 by Intel but later it was supported by Willow Garage. So color images will not be displayed correctly in Matplotlib if image is read with OpenCV. The crop example is a case where an image is returned after we perform something to do. On Line 1 we import the opencv library. Notice in the example image above that the borders of the image are "replicated pixels", so the chin is extended to the bottom of the rotated image, since the chin was on the. For this introduction to basic image processing, I'm going to assume that you have basic knowledge of how to create and execute Python scripts. Next step is to find edges in our image. opkg update. Do I have to create a. We will create REST API’s for smoothing, threshold filters, finding contour in an Image and integrating with the Part-2 of the series. (The path of the image file can be directly obtained by right clicking it and Selecting Properties. image - a numpy array of shape (rows, columns, 3). Using OpenCV to input a video file and to read each frame then save it to a image file with a Python script. OpenCV-Python Tutorials • Introduction to 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. But a lot of times, we would like to read an image from a URL and process it in OpenCV. To close OpenCV windows just push 'q' on the keyboard. It includes hundreds of computer vision algorithms. The function below will rotate an image using cvGetQuadrangleSubPix(), which is supposed to be the faster way of rotating images in OpenCV compared to cvWarpAffine(). OpenCV tutorial: Computer vision with Node. Basics of OpenCV : Playing with images and videos and perform simple operations like reading, writing, resizing, cropping etc. Lets create the dataset generator script, open your python IDLE and create a new file and save it in your project folder and make sure you also have the haarcascade_frontalface_default. Using the editor of your choice create BGR_sample. This is the third part of image processing series. Next step is to find edges in our image. Alright, these is the core of all. 0 for Python. array(PILImage), cv2. Using OpenCV, we can generate a blank image with any colour one wishes to. Till now, the opencv c++ functions & variables are not identifiable by visual studio. Note the Location of the image is: C:\Users\arjun\Desktop\a. VideoWriter(). Combine images into a video with Python 3 and OpenCv 3. Using OpenCV to input a video file and to read each frame then save it to a image file with a Python script. These marking are drawn using OpenCV line and the co-ordinates are find-out using parametric equation of circle. Extracting Contours with OpenCV. 99 Save 50%. I have seen the tutorials on how to do this with C++ but not too much in python. The last image which was grabbed by the OpenCV is saved. Image data and operations. Display Image OpenCV; Basic reading and display of an image; Display Image OpenCV Java; Reading MJPEG from IP camera; Drawing Functions in Java; Drawing Shapes (Line, Circle, , etc) in C++; Edge detection; Image Content Modification; Image Processing; Loading and Saving Various Media Formats; Object Detection; OpenCV initialization in. This project is entirely based on what we read in Chapter 1 and 2. OpenCV is a library that provides C/C++, Python, and java interfaces for computer vision applications. More the delayTime less will be the fps. Converting in Python is pretty straightforward, and the key part is using the "base64" module which provides standard data encoding an decoding. # We can assign the same value to more than one variable. To write text on image with OpenCV library of Python, use putText() method. 9 and ROS Hydro. Specially this article describes, how to pass System. You can compile it with Visual Studio as well. On success of writing the file to the harddisk, it will return true. These marking are drawn using OpenCV line and the co-ordinates are find-out using parametric equation of circle. The reason why we use this image is because there are some OpenCV functions that can recognize this pattern and draw a scheme which highlights the intersections between each block. Image filtering is an important technique within computer vision. It can also find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. More posts to come on image stitching and Android. Handling images is the basic building blocks of the OpenCV library and we should understand how to manipulate the images on a pixel level. To understand this tutorial better, please refer to Load & Display Image and Play Video from File or Camera first. We are going to do a for loop which will save every box the program will find. CvSaveImage("Resultant. I like to use Canny Edge Detection algorithm. I am able to show that image but how to save it in computer??. 7 and OpenCV 2. resize() function. The only place to be changed is the file path for saving images. This behavior occurs because the GDI+ component of the. Open a terminal session and make starting the virtual environment where you installed OpenCV 3. Images and OpenCV. Basics of OpenCV : Playing with images and videos and perform simple operations like reading, writing, resizing, cropping etc. Using it you can easily do image manipulations by editing the numpy array because the image is used as. For some weird reason OpenCV is unable to save a CV_32FC1 type cv::Mat into a tiff. waitKey(3000) # save image to file, if. and we have (x1,y1) as the top-left vertex and (x2,y2) as the bottom-right vertex of a rectangle region within that image, then:. Bitmap, however the code based on this (below) always leaves me with a plain black image. OpenCV's SimpleBlobDetector will be the primary function that we will be using. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices. 0 intends to close the window within 0 milliseconds. Below is the minimal example to duplicate this. OpenCV is a library which processes the digital images, therefore we need to store these images for processing. resize and get hands-on with examples provided for most of the scenarios encountered in regular usage. 11\\opencv\\build\\include. So you should be able to use cv_image objects with many of the image processing functions in dlib as well as the GUI tools for displaying images on the screen. Images and OpenCV. Is there a better way to rewrite this part in python. But it's a ridiculous connotation really, if we as a world want good educators we need to be willing to pay a decent amount for it. To resize an image, OpenCV provides cv2. Stream and save video in Python with OpenCV. How to Save OpenCV Image to a File in Python This post will be helpful in learning OpenCV using Python programming. Python has a library that handles images such as OpenCV and Pillow (PIL). OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. jpg",1) input=imread(“apple. Image in Pil. Train Face Recognizer: Train OpenCV's LBPH recognizer by feeding it the data we prepared in step 1. By Philipp Wagner | May 26, 2012. Alright, these is the core of all. You can put just the title of the image and the format (example. In this demo, you will acquire color frame from the RealSense camera and display it using OpenCV. imshow('image',img) This code to close the window after you click any button. Let’s start easy by importing libraries and loading image. Then the retrieve() method will be used to save the images into an OpenCV-supported image container. Load, Display and Save an image. i used this Publisher for publish image and used Subscriber for subscribing images. It consists of a matrix header and a pointer to the matrix which contains pixels values. Extracting Contours with OpenCV. These marking are drawn using OpenCV line and the co-ordinates are find-out using parametric equation of circle. Method _XYZ is usually the same as Method XYZ except that the operation is performed inplace rather than returning a value. So the correct includepath would only be: C:\\opencv2. Image Preprocessing with OpenCV In my last post, I mentioned that I presented at the Demystifying Deep Learning and Artificial Intelligence event at Oakland. This tutorial introduces the basic concepts of 2d Image Processing using the popular open source library OpenCV. resize and get hands-on with examples provided for most of the scenarios encountered in regular usage. 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: