opencv3.1

I have being trying to install OpenCV on Ubuntu 16.04 unsing several tutorials and i always end up with an error. This is the last one i've got following this tutorial: https://github.com/BVLC/caffe/wiki/Ubuntu-16.04-or-15.10-OpenCV-3.1-Installation-Guide What can i do? [ 48%] Linking CXX executable ../../bin/opencv_test_viz //usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0' //usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFIsTiled@LIBTIFF_4.0' //usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined

I am trying to dump keypoints of cars with SIFT or SURF and match these keypoints to a video in order to detect cars. Keypoints are more convenient to use instead of Haar Cascades because I would have to use a lot of images for example 5000 to train, which will take a lot of computation process. Keypoints from SURF or SIFT are scale invariant which will be almost the same in every car. The code for dumping keypoints into a txt file is: import cv2 import numpy as np import os import cPickle surf = cv2.xfeatures2d.SURF_create() descriptors = [] image = cv2.imread('1.jpg') kp, dsc = surf

I have installed opencv 3.1.0 with extra modules, but when I try to use >>> s = cv2.face.MinDistancePredictCollector() it returns an error Traceback (most recent call last): File "<pyshell#5>", line 1, in <module> s.MinDistancePredictCollector() AttributeError: 'module' object has no attribute 'MinDistancePredictCollector' I also checked the documentation: >>> help(cv2.face) Help on module cv2.face in cv2: NAME cv2.face FILE (built-in) FUNCTIONS StandardCollector_create(...) StandardCollector_create([, threshold]) -> retval createEigenFaceRecognizer(...) createEigenFaceRecognizer([, num

At the moment I am trying to train different SVMs for the recognition of different emotions. So for example to recognize the emotion happy I train a SVM with images of happy people as positives and images where people express other emotions such as anger, fear, disgust, ... as negatives. The images are stored in a database that I have partitioned in a training section and testing section. When I have trained the SVMs, I immediatly use them to test the accuracy on the test images of the database and this works fine. But I also save the trained SVMs because I would like to use them in another

We have one original image / photo of the item. (ie sculpture). Time to time we are taking new photos of the item. Photo always taken same angle 90 degree to the item. but there will be some slightly movement up down / left right there will be different length of the same object ( we are taking with line camera and the object moving in front of it so time to time speed of the object changing so the final image will be longer than the original) Also lighting changes so colour and lightning also not same always. Time to time there will be a mud, different small objects on the item. I would love

I am trying to implement Neural network with OpenCV ANN Library. I had a working solution, but after upgrading to OpenCV 3.1 it stopped working. So I created a simplified code for testing, but problem still remains. ANN is successfully trained, but when I try to call predict with row from trainData, it returns Mat of nan values. The code is cv::Ptr< cv::ml::ANN_MLP > nn = cv::ml::ANN_MLP::create(); nn->setActivationFunction(cv::ml::ANN_MLP::SIGMOID_SYM); nn->setTrainMethod(cv::ml::ANN_MLP::BACKPROP); nn->setBackpropMomentumScale(0.1); nn->setBackpropWeightScale(0.1); nn->setTermCriteria(cv: