Imutils Videostream Read

Fortnite Battle Royale is a free mode in which 100 people square off against each other in a…. Our GOP format will be baseline, so no B frames, just I and P. There are two RGB pixel types in dlib, rgb_pixel and bgr_pixel. Now let's loop over the video stream frame-by-frame: # loop over the frames from the video stream while True: # grab the frame from the threaded video stream, clone it, (just # in case we want to write it to disk), and then resize the frame # so we can apply face detection faster frame = vs. # frames the eye must be below the threshold for to set off the. 新手入门,用什么版本的opencv和vs好些?2. import imutils #allows for the. It's within this variance which lies the distinguishing. 需要先复习c++,然后看一本图像处理基础…. language:python #! /usr/bin/env python3 """ This program calculates the perspective transform of the projectable area. Tracking multiple objects with OpenCV. Líneas 9-12 Se analizan los argumentos. video import FPS from PIL import Image import argparse import imutils #pip3 install imutils @ sudo for running as root import warnings import datetime # pip3 install json-minify and also sudo from json_minify import json_minify import json import time import cv2 import numpy as np import os. For inferencing the ML model, I used Intel OpenVINO Toolkit. Face recognition for security. For this tutorial, you will need imutils and OpenCV 3. spatial import distance as distfrom imutils. read only = no public = yes force user = pi. 20 Gao modify get_params. start() for msg in consumer: decoded = np. 最近想做实时目标检测,需要用到python开启摄像头,我手上只有两个uvc免驱的摄像头,性能一般。利用python开启摄像头费了一番功夫,主要原因是我的摄像头都不能用cv2的VideCapture打开,这让我联想到原来opencv也打不开Android手机上的摄像头(后来采用QML的Camera模块实现的)。. Deaktivieren Sie den Videostream. So, all we need to do is, initialise the video stream with the camera and frame size we want to use. In the object movement it only detects and tracks green objects, and I want to put them in only one code. With this project, you can use a USB webcam video stream with the Ultra96 MPSoC FPGA and an OpenCV convolutional neural network to determine how many people are populating the area!. video import VideoStream import numpy as np import #Get the frams from the video stream and resize to 400 px frame = vs. I got dataplicity installed and got their led light working (). They are extracted from open source Python projects. Ela foi desenvolvida em C++ e posteriormente teve sua API para python. csv" (Lines 11-14). Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. A guide to asking questions on the PyImageSearch blog. 30 while True: 31 # grab the frame from the threaded video stream, clone it, (just. A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python. read() # if we are viewing a video and we did not grab a frame, # then we have reached the end of the video if frame is None: break # show the frame to our screen cv2. while True: # grab the current frame, then handle if we are using a # VideoStream or VideoCapture object. I strongly suggest that you read Adrian’s tutorial in detail. You might be wondering why I’m writing an full-fledged guide to asking questions on the PyImageSearch blog?. Video Classification with Keras and Deep Learning. The VideoStream and FPS classes are part of my imutils package. After you download the crx file for Videostream 2. I have a lot of hunch to try out various things. No compilation hassles: the generated module is pure python. by Adrian Rosebrock on August 20, 2018 in Deep Learning, Optical Character Recognition (OCR), TutorialsClick here to download the source code for this article In this tutorial, you will learn how to use EAST text detector to detect text in natural scene images using OpenCV. Raspberry Pi Video Streaming: This instructable will show how to stream a Raspicam to a web using a Raspberry Pi and the UV4L driver. """ import argparse import json import time import cv2 import imutils import numpy as np from imutils. The ARTIK 530, 710, and 1020 development boards support a UVC-compatible USB camera. 0') from gi. You can vote up the examples you like or vote down the ones you don't like. video import VideoStream from imutils. video import VideoStream import imutils import numpy as np import argparse import time import cv2. In this blog we'll take a look at the opencv code that'll be at the heart of the RB3 Robotic Arm, we'll traverse block by block and see how it all works. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Weird result while finding angle. In unserem Fall brauchen wir das Video nicht, damit wir die Lignes, in denen das Video betroffen ist, kommentieren werden. Line detection and timestamps, video, Python. 我们会使用VideoStream以高效和单线程的方式处理获取的视频帧。如果你的系统中没有安装imutils,只需使用如下命令:. Are you wondering where imutils. I'm using a python script with opencv and imutils (doing some object detection), and once I run the script, it stops. """ import argparse import json import time import cv2 import imutils import numpy as np from imutils. 在第2-8行,我们导入了所需的工具包。 这里回想一下上面的解释,你应该识别pyzbar,argparse和cv2. Then we are going to use the data from the learning stage to allow the Pi Camera to read and recognize digits. They are most commonly used to share short source code snippets for code review via Internet/web Chat. 私はpython3でopencv 3. should we define function get_props() in webcamvideostream. Using the mouse, we can zoom in and out, and rotate the object in 3D. ArgumentParser 12ap. (grabbed, frame) = camera. , the colored balls), followed by converting to the HSV color space. video import FPS import numpy as np import argparse import imutils import time import cv2. I made my python script executable and tried to set a path using the same format as the dataplicity led light but can't get it to work. Varsha Shah Computer Engineering Department Rizvi College of Engineering University of Mumbai 2018-2019 i CERTIFICATE This is to certify that the project entitled "Real Time Sleep/Drowsiness Detection" is a bonafide. - jrosebr1/imutils. VideoCapture function. frame = vs. VideoStream is? iWe usually use my VideoStream class to read frames from a. Home > OpenCV Python rotate image by X degrees around specific point OpenCV Python rotate image by X degrees around specific point I'm having a hard time finding examples for rotating an image around a specific point by a specific (often very small) angle in Python using OpenCV. 2from imutils. get ("video", False) else frame # check to see if we have reached the end of the stream. The following are code examples for showing how to use cv2. This class encapsulates the functionality for working a video stream from both a Pi Camera or USB Camera - and allows switching between the two video sources by setting a boolean flag. I use Windows plataform and i tried to use a bat to execute python: python recognize_video. They are most commonly used to share short source code snippets for code review via Internet/web Chat. VideoStream is? We usually use my VideoStream class to read. A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python. from imutils. video import VideoStream import argparse import imutils import time import cv2 # initialize OpenCV's special multi-object tracker trackers = cv2. Dann wollen wir die Anzahl der von dem Gerät erkannten Personen zählen, ihre ID zu einer Liste hinzufügen und diese dann mit Sigfox versenden. So I decided to write about my own. This file will contain the timestamp and payload of each detected and decoded barcode from our video stream. 在这篇教程中,将学习如何使用OpenCV实现人脸识别。为了建立人脸识别系统,需要执行下面几个步骤: Face Detection:人脸检测,从给定的图片中检测人脸位置信息;. video import VideoStream import argparse import time To access webcam, we use --buffer which is the maximum size of our deque to maintain a list of the previous (x, y)-coordinates of the object that we are tracking. Now we are parsing command line arguments for later use when we will run our face detector. A good description of the problem. Stream video in Python using OpenCV. OK, I Understand. For more detail on the LLVM annotations, please read the VSTTE paper referenced earlier in this post. Face ID 的兴起带动了一波面部识别技术热潮。本文将介绍 如何使用 OpenCV、Python 和深度学习在图像和视频中实现面部识别,以基于深度识别的面部嵌入, 实时执行且达到 高 准确度。 想知道怎样用OpenCV、Python和深度学习进行面部. # import the necessary packages from. However, I think a discussion of the implementation can greatly improve our knowledge of how and why threading increases FPS. imshow' takes two arguments. The ping sensors are connected to the RPi through the GPIO pins and are continuously polling to see if any object is close by. 3 for image manipulation and. The imutils package has been updated to handle both the 68-point and 5-point facial. utils import shuffle from sklearn. After learning how to detect a singleUTF-8. video import VideoStream 3from imutils import path s 4import itertools 5import argparse 6import imutils 7import time 8import cv2 10# construct the argument parser and parse the arguments 11ap = argparse. 2 minutes to read; In this article. No compilation hassles: the generated module is pure python. i have a few problems Trying to do object tracking application. -c/--camera: Id of the camera we'll read our frames from. Face ID 的兴起带动了一波面部识别技术热潮。本文将介绍 如何使用 OpenCV、Python 和深度学习在图像和视频中实现面部识别,以基于深度识别的面部嵌入, 实时执行且达到 高 准确度。 想知道怎样用OpenCV、Python和深度学习进行面部. import argparse. I can confirm that its not slowing down because of reading image from camera but when opencv dnn detect is used, see below code import sys import cv2 import gi gi. Use ImUtils to allow for support of the Raspberry Camera. The Videostream comes in a decent FPS, but as soon as my face gets detected/recognized, the performance break down to 5 FPS. It in this tutorial, you will learn how to build an 'AIot" system, using the combination of Intel AI Vision X Kit and Arduino Yun. You can vote up the examples you like or vote down the ones you don't like. 3 for image manipulation and. On Line 32, we read the first neural style transfer model using its path. The typical day of every human being starts with waking up late and getting ready for work in a hurry. Then you start a loop, calling the. GitHub Gist: instantly share code, notes, and snippets. After following the steps and executing the Python code below, the output should be as follows, showing a video in which persons are tagged once recognized:. The following are code examples for showing how to use cv2. Imutils is build on top of OpenCV and offers a lot of convenience functions to make basic image processing easier. UPDATE: We officially support video right now, using Videobox, so you don’t have to extract frames yourself to use Machine Box, Videobox can do it for you. 本文翻译自:Face recognition with OpenCV, Python, and deep learning - PyImageSearch使用OpenCV,Python和深度学习进行人脸识别在本教程中,你将学习如何使用OpenCV,Python和深度学习进行面部识别。. This class encapsulates the functionality for working a video stream from both a Pi Camera or USB Camera - and allows switching between the two video sources by setting a boolean flag. I'm currently working on a project where I need to activate a python script through my phone. Deprecated: Function create_function() is deprecated in /home/clients/f93a83433e1dd656523691215c9ec83c/web/rtpj/9ce2f. My understanding is VideoStream() uses VideoCapture. Interested in real-time crowd counting? Applications include retail, security and industrial safety. video import VideoStream. Varsha Shah Computer Engineering Department Rizvi College of Engineering University of Mumbai 2018-2019 i CERTIFICATE This is to certify that the project entitled "Real Time Sleep/Drowsiness Detection" is a bonafide. video import FPS import numpy as np import argparse import imutils import time import cv2. The actual code for the imutils package is you can use the VideoStream class in. Works on any WiFi network. 私はpython3でopencv 3. Fortnite was published by North Carolina-based studio Epic Games and released as an open player sandbox. [quote]vs = VideoStream(usePiCamera=True). language:python #! /usr/bin/env python3 """ This program calculates the perspective transform of the projectable area. video import FPS TCP socket is visualized and appears as a live video. Today, we’ll build a self-contained deep learning camera to detect birds in the wild. asf add param of rate in get_params. In today's post, we'll build out a method to track and distort our face in real time, just like these apps do. A biblioteca Dlib é mundialmente conhecida por realizar a detecção de faces, podendo ser utilizada até de forma ao vivo. Raspberry Pi Video Streaming: This instructable will show how to stream a Raspicam to a web using a Raspberry Pi and the UV4L driver. Up to this point I had a Raspberry Pi (upgraded to a v2 at this point) connected to my router via a USB wifi dongle, with a RaspberryPi Camera hooked to it, connected via a 3′ ribbon cable. I created a gui, whichever of the datasets I have pressed ( by servo), but I have a few problems. resize() can be used. Video Classification with Keras and Deep Learning. Absrtact: This paper introduces the use of opencv and yolo to complete video stream target detection, code interpretation is detailed, with source code, easy to use. 需要先复习c++,然后看一本图像处理基础…. The API for argparse is similar to the one provided by optparse, and in many cases argparse can be used as a straightforward replacement by updating the names of the classes and methods used. This class encapsulates the functionality for working a video stream from both a Pi Camera or USB Camera - and allows switching between the two video sources by setting a boolean flag. cgi add param of ftp_filename and ftp_numberoffiles 1. video import VideoStream from imutils import face_utils import numpy as np import argparse import imutils import time import dlib import cv2 import serial import time PORT = 'COM3' ser = serial. should we define function get_props() in webcamvideostream. It implements a Pythonic interface for FFmpeg command line compilation and uses Python subprocess module to execute compiled command line. Be sure object you have NumPy, SciPy, and imutils installed before you proceed:. aviを出力形式として使用して. Last year at the Google Next conference Google announced that they are building two new hardware products around their Edge TPUs. To learn more, read the article How to reset Google Chrome settings to default. command line argument was provided so we'll initialize a video stream from a video file (Lines 55 and 56). This traits class enables image processing routines to determine how to handle each kind of pixel and therefore only pixels which have a pixel_traits definition may be used. read() 5 6 # convert the input frame. A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python. py example help. video import VideoStream import imutils import numpy as np import argparse import time import cv2. imread to read and convert to gray color. The function cv2. Absrtact: This paper introduces the use of opencv and yolo to complete video stream target detection, code interpretation is detailed, with source code, easy to use. Template matching is a technique for finding areas of an image that are similar to a patch (template). Google Coral USB Accelerator Introduction. Introduction. GitHub Gist: instantly share code, notes, and snippets. From there, let’s initialize our video stream and open our CSV file:. 新手入门,用什么版本的opencv和vs好些?2. It uses a deep learning model called YOLO v2, running on NVIDIA’s embedded deep learning platform Jetson to detect when birds land in front of a webcam. A good description of the problem. Pillow tutorial shows how to use Pillow in Python to work with images. Raspberry Pi live stream camera video on any WiFi network. The user should be able to provide appropriate camera calibration information. build_face_dataset using webcam. Faster video file FPS with cv2. So the time has come where we have to pick what we are going to do for our final year project, the project itself is worth 25 ECTS credits which is equivalent to 5 subjects therefore it is essential to obtain a good result and as such you need to pick or come up with a project that you have an interest in. object_detection import non_max_suppression 5 import numpy as np 6 import argparse 7 import imutils 8 import time 9 import cv2. If you can’t have fun, there’s no sense in doing it! Here is a post on how to build your very own Thug Life Filter using a pre-trained Haar Cascade model using Opencv. video import VideoStream import imutils import time import cv2 # initialize the motion saliency object and start the video stream saliency = None vs = VideoStream(src=0). Python imutils 模块, video() 实例源码. cgi and set_ddns. It produces 68 x- y-coordinates that map to specific facial structures. Introduction. 7 else: from Queue import Queue class FileVideoStream: def __init__(self, path, queueSize=128): # initialize the file video stream along with the boolean # used to. About me 0. While there are numerous tools that could go into the video analyst’s toolkit, 2 of the most common are OpenCV, which provides a rich library of functions for manipulating and transforming video images, and imutils which provides convenience functions for doing basic image manipulation and interfacing with matplotlib. imutils : My package of OpenCV and other image processing convenience functions available on GitHub and PyPi. resolution = resolution self. The following are code examples for showing how to use cv2. video import VideoStream 3from imutils. video import VideoStream. I've written a code in python which tracks the trajectory of a object. OK, I Understand. PDF | Multiple webcams were streamed live via the use of a Raspberry Pi, a credit card sized computer. We have imported necessary packages which are the same as in Part 1 except we added imutils, VideoStream and time. float64)" Optionally you can skip the part of adding fake dimensions. d hostapd defaults systemctl enable hostapd systemctl enable dnsmasq systemctl enable samba systemctl start hostapd systemctl start dnsmasq /etc/init. read() frame = imutils. Real-time object detection with deep learning and OpenCV. Here, I’ll talk about actually integrating it with my C-Bot 3D printer. Introduction. We then grab the frame from the stream on Line 27. Loop over the frames from the video stream : Don't forget to add "image = image. Find this and other hardware projects on Hackster. For more detail on the LLVM annotations, please read the VSTTE paper referenced earlier in this post. We can use it as security camera. After you download the crx file for Videostream 2. object_detection import non_max_suppression 5 import numpy as np 6 import argparse 7 import imutils 8 import time 9 import cv2. Real-time object detection with deep learning and OpenCV. caffemodel # import the necessary packages from pyimagesearch. On top of that, my friends provoke me asking me for solutions. from imutils. cgi and videostream. Face recognition software can be developed more widely. video import VideoStream from imutils. Once you plug your USB camera into the USB port, check for recognition of the camera by using the command below. In unserem Fall brauchen wir das Video nicht, damit wir die Lignes, in denen das Video betroffen ist, kommentieren werden. Hello Reddit, is it possible 2 compile 2 codes in 1. Some group have gotten webcam train tracking working. Rakali (Version 0. PiCam 2 stabilised for roll and pitch In this short blog series I’m outlining the hardware and software of The Groundhog, my entry into the recent MAAXX-Europe autonomous drone competition held at the University of the West of England, Bristol. 有以下问题请求帮助:1. With this project, you can use a USB webcam video stream with the Ultra96 MPSoC FPGA and an OpenCV convolutional neural network to determine how many people are populating the area!. video import FPS 4from imutils. The ARTIK 530, 710, and 1020 development boards support a UVC-compatible USB camera. Google Coral USB Accelerator Introduction. Face ID 的兴起带动了一波面部识别技术热潮。本文将介绍 如何使用 OpenCV、Python 和深度学习在图像和视频中实现面部识别,以基于深度识别的面部嵌入, 实时执行且达到 高 准确度。 想知道怎样用OpenCV、Python和深度学习进行面部. How to use IP Webcam with opencv as a wireless camera Hi guys, If you are interested in creating robots, or embedded systems like me then you must be wondering if there is an way to use your android phone as an wireless camera (IP Webcam ) for your opencv code embedded in a SBC like Raspberry Pi,. cv2' has no attribute 'TrackerKCF_create'opencv上的这八种算法是否开源. , the colored balls), followed by converting to the HSV color space. I created a gui, whichever of the datasets I have pressed ( by servo), but I have a few problems. # USAGE # python detect. Here, I’ll talk about actually integrating it with my C-Bot 3D printer. cgi and set_ddns. The VideoStream class is implemented inside the imutils Python package. video import VideoStream. Area of a single pixel object in OpenCV. CAP_PROP_FPS(). notifications import TwilioNotifier from pyimagesearch. In the previous section This paper introduces how to apply YOLO to image target detection. imagezmq is a set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging. After learning how to detect a singleUTF-8. GitHub Gist: instantly share code, notes, and snippets. #!/usr/bin/env python import rospy from collections import deque from imutils. video import VideoStream from imutils. 13 Maverick 2010-05-26 system software x. If you need help debugging, you must include: A concise but descriptive title. from imutils. py example help. Hi linx255 and Everyone else, This was a real pain to find a simple way to close or exit the really nice Linux Motion software, rather than rebooting / restarting your computer, or bringing up System Montitor Processes and highlighting all Motion entries and right clicking to end those tasks. Keep reading to learn more… Real-time panorama and image stitching with OpenCV. 1) Update os system: sudo apt-get update sudo apt-get upgrade 2) Install dependencies: sudo apt-get install build-essential cmake pkg-config sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev sudo. They are most commonly used to share short source code snippets for code review via Internet/web Chat. Today's blog post is broken into two parts. imread to read and convert to gray color. cgi and set_ddns. In terms of object I considered various items from small plastic bottles to figurines and eventually settled on dice given their size, weight and suitability for what is basically a $20 plastic robot arm. Stream video in Python using OpenCV. 435J at Massachusetts Institute of Technology. With help of plugins (you need to specify to use them if you build yourself the library, nevertheless in the packages we ship present by default) you may also load image formats like JPEG (jpeg, jpg, jpe), JPEG 2000 (jp2 - codenamed in the CMake as Jasper. 用微信扫描二维码 分享至好友和朋友圈 原标题:圣诞快乐——Keras 树莓派:用深度学习识别圣诞老人 选自pyimagesearch 作者:Adrian Rosebrock 机器之心. model_selection import train_test_split Next, we loop in folder images to get all image, then use cv2. pip install imutils pip install numpy pip install argparse pip install opencv-python pip install pyautogui these are to install the dependancys that the python script needs to run. I've written a code in python which tracks the trajectory of a object. Face recognition software can be developed more widely. video import VideoStream import argparse import time To access webcam, we use --buffer which is the maximum size of our deque to maintain a list of the previous (x, y)-coordinates of the object that we are tracking. In terms of object I considered various items from small plastic bottles to figurines and eventually settled on dice given their size, weight and suitability for what is basically a $20 plastic robot arm. Here is the anatomy of the 'cv2. In the code it also displays the coordinates of the object is it possible. Other readers will always be interested in your opinion of the books you've read. Increasing webcam FPS with Python and OpenCV. We'll process the frame a bit on Lines 35-37, first by resizing it, then by applying a Gaussian blur to allow us to focus on the actual "structures" in the frame (i. video import VideoStream 3from imutils. In this blog we'll take a look at the opencv code that'll be at the heart of the RB3 Robotic Arm, we'll traverse block by block and see how it all works. The ARTIK 530, 710, and 1020 development boards support a UVC-compatible USB camera. Opportunities. We have their WPCTVPRO VideoStream Wireless USB PC to your TV device on the bench and are going to put it through its paces. 摘要: 本文介绍使用opencv和yolo完成视频流目标检测,代码解释详细,附源码,上手快。在上一节内容中,介绍了如何将YOLO应用于图像目标检测中,那么在学会检测单张图像后,我们也可以利用YOLO算法实现视频流中的…. Snapchat, Instagram, and now Apple have all gotten in on the real time face effects. py from flask import Flask, render_template, Response from imutils. video import VideoStream import numpy as np import argparse import imutils import time import cv2. 30 while True: 31 # grab the frame from the threaded video stream, clone it, (just. This tutorial is on detecting persons in videos using Python and deep learning. Новости собираются с мира по нитке на совершенно безвозмездной основе. In today's post, we'll build out a method to track and distort our face in real time, just like these apps do. To find it, the user has to give two input images: Source Image (S. I use Windows plataform and i tried to use a bat to execute python: python recognize_video. From there we'll load our model and initialize the video stream:. Ela foi desenvolvida em C++ e posteriormente teve sua API para python. read() orig = frame. 2from imutils. repository import Gst from imutils. When I have objects of the same class,. OK, I Understand. However, I think a discussion of the implementation can greatly improve our knowledge of how and why threading increases FPS. On line 3 we bring in imutils, a library that encapsulates the awkwardness of some common computer vision operations in OpenCV, such as. # import the necessary packages from threading import Thread import sys import cv2 # import the Queue class from Python 3 if sys. video import VideoStream import numpy as np import argparse import imutils import time import cv2 # construct the argument parse. Four webcams attached to the Pi was not possible which may be due to the Pi having an. 0, open Chrome's extensions page (chrome://extensions/ or find by Chrome menu icon > More tools > Extensions), and then drag-and-drop the *. net (or text storage site) is a type of web application where users can store plain text. start() time. Hello, I've run into a road block in my opencv motion detection script while trying to adapt an "import smtplib" into my loop. Today's blog post is broken into two parts. After the new update to macOS (Mojave), I can't access the camera. cgi and videostream. 0) # loop over frames from the video stream while True: # grab the current frame, then handle if we are using a. We then grab the frame from the stream on Line 27. As I mentioned in the introduction to this post, we'll be linking together concepts we have learned in the previous 1. To make things even harder, much of the content served from porn sites is made up of low latency live video streams rather than simple static video content. Area of a single pixel object in OpenCV. CAP_PROP_FRAME_WIDTH cv2. Introduction. video import VideoStream. Know it before you do it : The facial landmark detector implemented inside dlib produces 68 (x, y)-coordinates that map to specific facial structures. Real-time panorama and image stitching with OpenCV Posted by: Olva , August 2, 2016 One of my favorite parts of running the PyImageSearch blog is a being able to link together previous blog posts and create a solution to a particular problem — in this case, real-time panorama and image stitching with Python and OpenCV. resize() can be used. py from MATH 18. So the time has come where we have to pick what we are going to do for our final year project, the project itself is worth 25 ECTS credits which is equivalent to 5 subjects therefore it is essential to obtain a good result and as such you need to pick or come up with a project that you have an interest in. prototxt --model res10_300x300_ssd_iter_140000. # loop over frames from the video file stream while True: # grab the frame from the file (grabbed, frame) = vs. py example help. After you download the crx file for Videostream 2. start() for msg in consumer: decoded = np. Our GOP format will be baseline, so no B frames, just I and P. 有以下问题请求帮助:1. Exécuter les commandes suivantes : update-rc. language:python #! /usr/bin/env python3 """ This program calculates the perspective transform of the projectable area. 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: