Opencv

=== Code ===
* https://gist.github.com/moshekaplan/5106221 match two images. 
* http://soc.ninja/downloads/
=== object tracking ===
https://www.youtube.com/watch?v=61QjSz-oLr8 OpenTLD, kcf
=== learopencv.com ===
https://github.com/spmallick/learnopencv
* http://www.learnopencv.com/object-tracking-using-opencv-cpp-python/ object tracking
* See Pyimagesearch.com
=== install opencv ===
* https://medium.com/@patrick_ryan/building-opencv-4-10-on-raspian-buster-and-raspberry-pi4-64669bd2eb74 opencv4.1.0 on raspberry buster.
* https://github.com/opencv/opencv/wiki/Intel%27s-Deep-Learning-Inference-Engine-backend
* https://www.learnopencv.com/install-opencv3-on-ubuntu/
* opencv install script
* http://curvetube.com/Tutorial_In_How_To_Do_Object_tracking_using_OpenCV/_v2W3hbgJog.video
* https://www.learnopencv.com/facemark-facial-landmark-detection-using-opencv/ facial recognition from three papers 2013-2014
http://www.codebind.com/cpp-tutorial/install-opencv-ubuntu-cpp/
=== library paths ===
libopencv_highgui.so.3.3: cannot open shared object file: No such file or directory
https://stackoverflow.com/questions/12335848/opencv-program-compile-error-libopencv-core-so-2-4-cannot-open-shared-object-f library paths
=== Yolo debug ===
https://stackoverflow.com/questions/42918747/yolo-c-compilation-failure-with-debug-1/46808785
==== blas and lapack ===
Blas and lapack
=== Itseez ===
https://github.com/Itseez/gtc-2015-lab Jetson tegra cpu
https://github.com/Itseez/opencv_for_ios_book_samples opencv book coding examples solution
http://elinux.org/Main_Page embedded linux and boards supported
http://roboticssamy.blogspot.com robot balancing
=== v4l ===
* sudo apt-get install v4l-utils
* http://www.techytalk.info/webcam-settings-control-ubuntu-fedora-linux-operating-system-cli/
=== Authors ===
* Derek Molloy beaglebone code v4l-tcl.c file scripting usb camera, mpeg4 compression etc. 
* pyimagesearch.com 
* https://github.com/tesseract-ocr/tesseract/wiki OCR
=== Yuki nagai ===
https://www.youtube.com/watch?v=pj-QuE6pdEQ The red bounding box is "Boosting" result, green is "MIL", blue is "TLD", black is "Medianflow", and pink is "KCF". Tracking code: Dataset and evaluation code: Evaluation results: 
* http://cvlab.hanyang.ac.kr/tracker_benchmark/ 
* https://arxiv.org/abs/1404.7584 High-Speed Tracking with Kernelized Correlation Filters 
* https://github.com/yuukicammy/opencv_tracker_performance_test/blob/master/opencv_tracker/dev/src/main_opencv_trackeing.cpp 
* https://sites.google.com/site/trackerbenchmark/benchmarks/v10
* https://github.com/yuukicammy/opencv_tracker_performance_test/tree/master/tracker_benchmark_v1.0/figs/overall/OpenCV
* https://github.com/yuukicammy/struck Struck: Structured Output Tracking with Kernels http://www.samhare.net/research/struck
* http://eigen.tuxfamily.org
=== papers ===
https://www.researchgate.net/publication/279057771_Expert_Video-Surveillance_System_for_Real-Time_Detection_of_Suspicious_Behaviors_in_Shopping_Malls
http://www4.comp.polyu.edu.hk/~cslzhang/CT/CT.htm Real-time Compressive Tracking and c++ code
=== forum questions ===
http://stackoverflow.com/questions/28619037/opencv-where-is-tracking-hpp itzees repository
http://stackoverflow.com/questions/36254452/counting-cars-opencv-python-issue?rq=1 python counting cars by http://stackoverflow.com/users/3962537/dan-ma%c5%a1ek
=== Udacity ===
Udacity
=== Data sets ===
Neural data sets Neural network training is done on data sets of images., 
* http://www.ibm.com/watson/developercloud/visual-recognition.html , https://visual-recognition-demo.mybluemix.net/ , https://github.com/watson-developer-cloud/visual-recognition-nodejs The Visual Recognition Service uses deep learning algorithms to analyze images for scenes, objects, faces, text, and other subjects that can give you insights into your visual content. You can organize image libraries, understand an individual image, and create custom classifiers for specific results that are tailored to your needs.
* http://cloudsightapi.com/ 
* http://cloudcv.org/ and python cloud API github We are witnessing a proliferation of massive visual data. Unfortunately scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic, logistical, and infrastructural problems. Our goal is to democratize computer vision; one should not have to be a computer vision, big data and distributed computing expert to have access to state-of-the-art distributed computer vision algorithms. We present CloudCV, a comprehensive system to provide access to state-of-the-art distributed computer vision algorithms as a cloud service through a Web Interface and APIs. Uses https://turi.com/products/create/open_source.html commercial machine learning algorithms. 
* http://image-net.org/challenges/LSVRC/2015/index
=== counting cars ===
Chris Dahms , https://github.com/andrewssobral/vehicle_detection_haarcascades Andrew Sorbal
* https://github.com/openalpr/openalpr 997 forks ,http://www.openalpr.com/ license plate recognition.
=== Leenissen ===
* http://leenissen.dk/fann/wp/ , https://github.com/Counterfeiter/Q-LearningRobot 
* https://hackaday.com/2016/11/02/machine-learning-foundations/ 
* https://hackaday.com/2016/11/08/perceptrons-in-c/
=== tutorials ===
* https://www.geeksforgeeks.org/erosion-dilation-images-using-opencv-python/
* https://web.stanford.edu/class/cs101/image-1-introduction.html
* https://www.opencv-srf.com/2010/09/object-detection-using-color-seperation.html
* http://www.robindavid.fr/opencv-tutorial/
* http://homepages.inf.ed.ac.uk/rbf/HIPR2/morops.htm closing is done with dilation followed by erosion for removing noise from images. 
* https://pysource.com/2018/01/29/bitwise-operators-opencv-3-4-with-python-3-tutorial-7/
* https://www.programcreek.com/python/example/89415/cv2.fillPoly used for lane detection in the Udacity project. 
* https://www.learnopencv.com/alpha-blending-using-opencv-cpp-python/
=== blob detection ===
* http://www.learnopencv.com/how-to-select-a-bounding-box-roi-in-opencv-cpp-python/
* https://www.kurokesu.com/main/2016/07/25/advanced-opencv-3-python-hole-detection/ hole detection or blob detection as done in Pcb pick and place
* https://www.learnopencv.com/blob-detection-using-opencv-python-c/ blob detection
=== k ===
* imageprocessing.com opencv tutorial
* Andrew Sorbal background image subtraction
=== books ===
https://github.com/techfort/pycv code for Learning Opencv 3 Computer Vision with Python by Joseph Howse
=== links ===
* Raspberry pi
* https://www.oreilly.com/ideas/how-to-build-an-autonomous-voice-controlled-face-recognizing-drone-for-200 , https://www.microsoft.com/cognitive-services/en-us/apis Microsoft, Google, IBM, and Amazon all have fast, inexpensive cloud machine learning APIs. In the end, I used Microsoft’s Cognitive Service APIs for this project because it’s the only API that offers custom facial recognition
* https://www.youtube.com/watch?v=QPgqfnKG_T4 militarizing backyard with python and machine vision talk(water jetting squirrels). Something a bit more effective on intruders see Net gun, http://sasecurity.wikia.com/wiki/Category:Guns
* opencv sentdex
* OpenTLD#cppmta cppmta preferred over opentld 
* simplecv vision framework for vision applications, acccess OpenCV without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy. 
* https://ukoethe.github.io/vigra/ Vision with Generic Algorithms library 
* Ffmpeg , Libccv, Segnet clone of caffe detects pets, people,cars
* Caffe berkeley vision , OpenKcam ,
* GPU#Jetson Nvidia Tegra jetson APU(cpu/gpu) platform for embedded vision, robotics. 
* Dlib library C++ vision library like caffe and opencv
* KLT vision , Slam lsd slam 2013 journal paper with github code
* Embedded vision alliance
* https://groups.google.com/forum/?hl=en#!forum/visual-tracking Google image groups.
* https://www.researchgate.net/post/Which_is_the_best_tracking_algorithm_available which algorithm to use.
* http://deeplearning.net/software/theano/introduction.html Theano gpu 
* Thine image firm
Category:Opencv
Category:Image processing
Category:Optical character recognition
Category:Coding
Category:OpenTLD
Category:License plates
Category:Github
Category:Gist code