Reading and Writing Images and Video. LoadImage Comments from the Wiki LoadImage ( filename , iscolor=CV_LOAD_IMAGE_COLOR ) → None.
Pyueye - ueye camera driver wrapper for python. Pyueye is a wrapper for the uEye camera drivers written in Cython, currently under development.
This wrapper allows to use the IDS uEye cameras under python, capturing the images directly as a Numpy array, where they can be used in image processing libraries such as OpenCV. This wrapper is not a product from IDS nor is it in any way affiliated with or approved by them. Python Webcam IR Tracking « Tech B. Python WebCam IR Tracking This is a tutorial on how to turn your webcam into an infrared tracking device using Python and a simple webcam hack.
We will map the IR data to the mouse. Installing OpenCV 2.2 in Ubuntu 11.04 – Sebastian Montabone. Many people have used my previous tutorial about installing OpenCV 2.1 in Ubuntu 9.10.
In the comments of that post, I noticed great interest for using OpenCV with Python and the Intel Threading Building Blocks (TBB). Since new versions of OpenCV and Ubuntu are available, I decided to create a new post with detailed instructions for installing the latest version of OpenCV, 2.2, in the latest version of Ubuntu, 11.04, with Python and TBB support. UPDATE: Now you can use my new guide to install OpenCV 2.4.1 in Ubuntu 12.04 LTS: Introduction to OpenCV. CameraCapture. Here is a simple framework to connect to a camera and show the images in a Window.
Sarin Sukumar A DSP Engineer - sarinsukumar@gmail.com Information to control the camera parameters from program. User can control Output format of the camera (YUV2, RGB etc), Brightness, exposure, autofocus, zoom, white balance etc. I have done it for USB cam and OpenCV 2.0. Opencv uses “cvCaptureFromCAM” to access camera. Bool CvCaptureCAM_DShow::open( int _index ) { '' * '' bool result=false; long min=0, max=0, currentValue=0, flags=0, defaultValue=0, stepAmnt=0; close(); #ifdef DEFAULT VI.deviceSetupWithSubtype(_index,640,480,_YUY2); #endif #ifdef MEDIUM VI.deviceSetupWithSubtype(_index,1280,1024,_YUY2); #endif #ifdef ABOVE_MEDIUM VI.deviceSetupWithSubtype(_index,1600,1200,_YUY2); #endif #ifdef HIGH VI.deviceSetupWithSubtype(_index,2048,1536,_YUY2); #endif //VI.showSettingsWindow(_index); //custome code if( !
“getVideoSettingFilter()” Make this line of code like this. Man vgrabbj - grab images from a v4l-compatible webcam. Vgrabbj - grab images from a v4l-compatible webcam This manual page documents briefly the vgrabbj command. vgrabbj is a program that will grab images from any v4l-capable device which supports one of the rgb24, rgb32, yuv420, yuv420p, yuyv, or yuv422 palettes and saves the image as a .jpg, .png, or .pnm file.
Optional, it can timestamp the resulting image, and/or upload it to a ftp-server. Additionally, a daemon-mode is available to do the above regularly. On startup, the default configuration file /etc/vgrabbj.conf is read and evaluated. All options are either numeric values, strings, or booleans. Python video capture loop. Camera - Pygame Documentation. Webcam recording - Python. Reading data from WebCam on Python using OpenCV. OpenVIDIA/python - OpenVIDIA. From OpenVIDIA This article describes how to get started using Python for computer vision.
Why use Python at all? So lets say you have written some GPU "core" kernel. FaceDetector.Face. Class Overview A Face contains all the information identifying the location of a face in a bitmap.
Summary Constants public static final float CONFIDENCE_THRESHOLD The minimum confidence factor of good face recognition. Introduction to programming with OpenCV. Tutorial: OpenCV haartraining (Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features) - Naotoshi Seo. Tutorial: OpenCV haartraining (Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features) Objective The OpenCV library provides us a greatly interesting demonstration for a face detection.
Furthermore, it provides us programs (or functions) that they used to train classifiers for their face detection system, called HaarTraining, so that we can create our own object classifiers using these functions. PythonInterface. Information on this page is deprecated, check the latest always-up-to-date documentation at .
Starting with OpenCV release 2.2 , OpenCV will have completed it's new Python interface to cover all the C and C++ functions directly using numpy arrays. (The previous Python interface is described in SwigPythonInterface .) Convert Between Numerical Arrays and PIL Image Objects. Image format to save in python. [Image-SIG] python with PIL : problem showing images in Win 7. - Show quoted text - On 6/30/2011 9:23 AM, Jean-Claude Arbaut wrote:I just installed Python 2.7.2 and PIL 1.1.7. In pil-handbook.pdf thereis a trivial example (slightly modified here to change image name): [Image-SIG] downscaling by area averaging. - Show quoted text - Fredrik Lundh wrote: In my tests, all the resize and stretch filters appear to shift theimage down and to the right by about half an output pixel.
I've attached a (preliminary) patch. It certainly works for me. Area-averaged and stretched images aremostly visually indistinguishable -- the exceptions being high contrastdrawings. [Image-SIG] frame averaging. There is 'ImageChops.add'. If you have only two images, or you have anumber of images that is a power of two, you can use it. Something likeresult = ImageChops.add(image_1, image_2, 2, 0)For more than two images, average image 2*j and image 2*j+1 so that youget half as many result images. Repeat until there is only a singleresult image. This will of course round the images to 8 bits at each step. You can dobetter by using numarray. [Image-SIG] Image averaging.
[Image-SIG] ImageCapture from WebCam. Gstreamer cheat sheet - MyLabWiki. This page contains various shortcuts to achieving specific functionality using Gstreamer. These functionalities are mostly related to my Digital Video Transmission experiments. There is no easy to read "user manual" for gstreamer but the online the plugin documentation[1] often contains command line examples in addition to the API docs. Other sources of documentation: The manual page for gst-launch The gst-inspect tool Online tutorials The Gstreamer documentation is also available in Devhelp. Benosteen/FaceRecognition - GitHub. Face recognition – much easier than expected « Random Hacks.
Oooo Face-recognition – iPhoto and all the cool kids are doing it, but how is it done? I thought I’d find out. I thought it might take a long time. I found the OpenCV project. Face Detection and Face Recognition with Real-time Training from a Camera. Stream Video Over Network With Python. [Python] Grab Webcam image and display feed in python window. Ctypes-opencv - A Python wrapper for OpenCV using ctypes. Python code for taking images with webcam in Linux - Python. Drive a webcam with python. Python-v4l2capture. Main Page. Libfg - Video4Linux Frame Grabber interface - antonym.
New! – the latest version supports USB cameras, and features a sample app for live video display! Introduction The libfg library provides a simple high-level C API for controlling Video4Linux devices, including analog video cameras, TV and webcams. Overview Linux has support for TV tuners and frame grabbers. The purpose of libfg is to provide a simple, high level interface for controlling TV tuners and frame grabbers. Features The current version of libfg supports most of the major features provided by the Video4Linux API (Version 1).
Double-buffered capturing (depending on driver)Setting a capture window (cropping)Set brightness, contrast, etc (in percent)Control TV tuner (in MHz)Supports multiple norms (PAL, NTSC, Secam, etc)Supports different frame formats (eg. Hardware Support Any V4L device supported by the kernel will work with libfg. We have tested libfg on the following hardware: Picolo (BT878)FlyVideo 98 / Chronos Video Shuttle II (BT878)Logitech Webcam Express Kernel Support License. VideoCapture - A Win32 Python Extension for Accessing Video Devices (e.g. a USB WebCam, a TV-Card, ...) Showing a webcam image in the desktop window using Python. Part 3: self-refreshing app. Showing a webcam image in the desktop window using Python. Part 2: displaying images in windows. Showing a webcam image in the desktop window using Python. Part 1: reading image from web. Fun with Python, OpenCV and face detection.
I had some fun with Gary Bishop’s OpenCV Python wrapper this morning. I wanted to try out OpenCV for detecting faces using a web cam. This could be used for instance to see if someone is sitting behind his desk or not. I used Gary’s Python wrapper since I didn’t want to code in C++. I didn’t know where to start, so I searched for existing OpenCV face detection examples. I found a blog post by Nirav Patel explaining how to use OpenCV’s official Python bindings to perform face detection. I managed to rewrite Nirav’s example to get it working with CVtypes: Here’s the code. A known problem is that pressing the escape key doesn’t quit the program. The Building Coder: Grabbing an Internet Webcam Image. One of my sessions at the DevCamp discusses migration to and advanced use of the new Revit 2011 API features. Capturing frames from a webcam on Linux.