2016-11-03 17:02:31 -0500 answered a question Video Stitching of overlapped videos Here is an example using frames rather than time; hope this helps. import numpy as np import cv2 total_frames=0 # Counts frames executed state = 1 #controls which video to play # 3 video captures can be set up cap1=cv2.VideoCapture("video1.mpeg") # First 10 frames cap2=cv2.VideoCapture("video2.mpeg") # Runs till the end cap3=cv2.VideoCapture("video3.mpeg") # Runs till the end while(True): # Check which state it shuold be in and when to swap if state == 1: ret, frame = cap1.read() if total_frames > 10: # After so many frames swap to 2 state = 2 if state == 2: ret, frame = cap2.read() if ret == False: # End of video 2 swap to 3 state = 3 if state == 3: ret, frame = cap3.read() if ret == False: # End of video 3 break break # Increment counter total_frames = total_frames + 1 # Perform some conversion to time if you like #seconds = total_frames*(1/fps) # Display the resulting frame cv2.imshow('frame',frame ) if cv2.waitKey(1) & 0xFF == ord('q'): break  2016-11-03 07:53:09 -0500 commented question Video Stitching of overlapped videos I think you have lost me when they need to swap between videos, but you can use multiple cap1=cv2.VideoCapture("video1.mpeg"). Are you trying to detect when they are "similar" and then perform the swap? This would be dependent on how similar they are and what features you can use. 2016-11-03 05:11:43 -0500 commented question Rotation of word and cropping Do you know what the size of the characters you are interested in? From my experience it seems to get the best results is to detect something that the text is next to that has strong features and then apply Tesseract to a known offset; does not mean this will work for you. Alternatively detecting the text might work better; it depends what type of artifacts you expect. 2016-11-03 05:04:36 -0500 commented question error python Can you slowly take out all the lines of code that are different from a standard example; until it is something like this and working http://docs.opencv.org/3.0-beta/doc/p.... Then we can see which part it does not like. 2016-11-03 04:56:43 -0500 commented question Video Stitching of overlapped videos Okay I see now, the x axis is time. So will the end of video1 have the same frames as the start of video2? Then what you want to do is swap between video1 to video2 then video3 seamlessly? 2016-11-03 03:40:42 -0500 commented question how to identify noise in an image Its a bit vague, do you want to count how many pixels are noise? Are you trying to remove noise? Do you want to classify images in bands, like this image has low, medium or high amounts of noise? 2016-11-03 03:35:01 -0500 commented question Video Stitching of overlapped videos There is a lot of content above, are you after creating a panorama? 2016-11-02 19:44:19 -0500 commented question Gstreamer missing plugin Thanks for that, I have not used docker before but I will learn to do so. 2016-11-02 07:12:28 -0500 commented question Gstreamer missing plugin Did you end up solving this? I am going to be doing something similar and giving this a go. Do you mind going into more detail on what you are trying to achieve? 2015-01-14 17:48:40 -0500 commented question how can i read all frames? I just ran your code on a video with total frames 2224 but only 2221 were processed. I tried a few things to reproduce or fix the error rate however I always got the same result. An alternative to make sure you are getting the right frame rather than cap >> frame, use cap.set(CV_CAP_PROP_POS_FRAMES, k); then use cap.retrieve(frame); this way you are telling the video to go to position k and retrieve the frame. 2015-01-07 16:31:57 -0500 commented answer How to make a hue distance histogram ? As long as the function computeHueDistance does what is required; what I wrote was only an example. 2015-01-05 22:25:47 -0500 commented answer How to make a hue distance histogram ? I know how to use the pointers off the top of my head and unfortunately not any other way. It was my quick attempt at implementing the formula; the change in the hue channel over the x and y axis. Below is a brief example what the array notation is equivalent to in matrix notation. To get a pixel at position (x,y), below is how to get the value at y-1; the pixel above. For a 3 channel image [((y-1)img_hsv.cols+3)+(x3)+0] => [x][y-1][0] //x position, y position, channel For a 1 channel image [((y-1)*img_hsv.cols)+x] => [x][y-1] // x position, y position If there is a better notation you like then use it and I am happy to help convert it to something you can understand. 2015-01-05 01:18:56 -0500 received badge ● Teacher (source) 2015-01-02 22:05:49 -0500 answered a question How to make a hue distance histogram ? The structure should be as follows: Load image -> convert to HSV -> implement the stated algorithm on the H channel -> calculate the histogram on the new image. I have quickly put some code together to demonstrate how I would do this; I hope it is what you are after. I have only implemented the basic structure where you can go through and add/tweak what you need. This is only a guide, if you need anything explained in more detail feel free to ask. #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" #include #include using namespace cv; int main( int argc, char** argv ) { //Load image Mat src = imread( argv[1] ); if( !src.data ) { return -1; } Mat img = imread(argv[1]); Mat img_hsv; //convert to HSV cvtColor(img, img_hsv, CV_BGR2HSV); //allocate memory for hue distance image Mat distance_hue_img(img_hsv.rows, img_hsv.cols, CV_8UC1); //implement hue distance calculation uchar* distance_hue_img_ptr = distance_hue_img.data; uchar* img_hsv_ptr = img_hsv.data; //iterate through image for(int y = 1; y < img_hsv.rows; ++y) for(int x = 1; x < img_hsv.cols; ++x) { /*-----------------insert your algorithim code-----------------*/ /*----------------- below is just an example -----------------*/ //subtract bottom pixel from top pixel int temp_value_y = abs(img_hsv_ptr[((y-1)*img_hsv.cols+3)+(x*3)+0] - img_hsv_ptr[((y+1)*img_hsv.cols+3)+(x*3)+0]); //subtract right pixel from left pixel int temp_value_x = abs(img_hsv_ptr[(y*img_hsv.cols+3)+((x-1)*3)+0] - img_hsv_ptr[(y*img_hsv.cols+3)+((x+1)*3)+0]); //applying average of x and y, should probably use sqrt(x^2+y^2) int temp_value = (temp_value_y+temp_value_x)/2; //apply hue wrap around, opencv hue is between 0 to 179 but your algorithim was between 0 to 359 if(temp_value > 90) distance_hue_img_ptr[(y*img_hsv.cols)+x] = 180-temp_value; else distance_hue_img_ptr[(y*img_hsv.cols)+x] = temp_value; } //get histogram of distance_hue_img Mat histogram; /*-----------------insert histogram code here-----------------*/ imshow("img", img); imshow("hue_img", distance_hue_img); imshow("histogram", histogram); waitKey(0); return 0; }  2015-01-01 04:26:32 -0500 received badge ● Enthusiast 2014-12-30 20:55:15 -0500 answered a question Canny (OCL, 3-beta) can not detect connected contour of black square on a white background. I just ran it through the sample code in this link and it worked fine for me. They used: Canny(imgGray, imgGrayEdges, lowThreshold, lowThreshold*3, 3); where lowThreshold is a value between 0 to 100. 2014-12-29 08:06:43 -0500 commented question unable to detect face using example code (objectDetection.cpp) give in opencv 2.4.9 check that capture = cvCaptureFromCAM( -1 ); is the same as the webcam example you ran. Then directly afterwards grab a frame = cvQueryFrame( capture ); and view it immediately. If this does not work then copy and paste what worked when you loaded it from the webcam. 2014-12-28 08:02:33 -0500 commented question How to make a hue distance histogram ? Distance of the hue is the same as an edge detection on the hue channel. If you don't want to use an edge detection you can apply the subtraction formula as you described above to the hue channel then take the histogram of the result. 2014-12-28 03:18:38 -0500 commented question How to make a hue distance histogram ? I am confused what the question is exactly, but what I have gathered you first want to get a histogram of the hue values. To do this convert the image from BGR to HSV and CalcHist of the first channel; this will be of the hue values. 2014-12-28 03:18:37 -0500 answered a question How to find the hsv value of red object in a particular image? The code can be found in this link For more information on HSV see this link Once you perform hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV), the image swaps from BGR to HSV. channel 1: changes from blue to hue and is between 0-180 degrees; hue is circular so a value of 0 and 180 will be red. channel 2: changes from green to saturation and is between 0-255. channel 3: changes from red to value and is between 0-255. 2014-12-28 03:18:37 -0500 commented question unable to detect face using example code (objectDetection.cpp) give in opencv 2.4.9 Does the output window have any image; or is it black? If the image does not load then it might be an issue getting the camera to load. 2014-12-07 18:07:48 -0500 commented question Building opencv 3.0-beta on linux. Something to note, make sure you are using 64bit; I had some issues when running on 32bit Ubuntu. 2014-11-26 04:53:05 -0500 answered a question Help detecting/tracking circles with findContours -Find width and height of the contour with a bounding box, like this link bounding_rects. -Also find the area (A1) of the contour with this link contour_area -Using either width, height or an average, assume that is the diameter of your circle (D) where the radius (r = D/2) -Calculate the ideal area (A2) = Pi X r^2; this is the ideal area you are after. -Compare A1 and A2 with something like: circular = 1 - (abs(A1-A2)/A2) The circular value calculated should be a percentage how circular the contour is, if this number is high you can use width or height as the diameter, if not its not a circle. 2014-11-25 21:53:41 -0500 commented question Merge multiscale images to get a better contour Really depends what you are trying to improve, do you find you have too many contours and want to cut down or not enough, or a combination? How has the image been filtered to get the contours? There could be many reasons why its not performing; the idea is to find the variation that is coursing the issue, then use merging to improve. Could be as simple as iterating through all the contours and keep the ones that appear on all 3 images. I hope this gives you some insight on potentially where to start. 2014-11-25 16:35:18 -0500 answered a question Changing camera resolution in Python ret is the return value from the function set(). I assume if successful ret = 1, if unsuccessful ret = 0. The first parameter states what is being set, 3 = width and 4 = height. The second parameter states the value to be set to. 2014-11-25 16:23:30 -0500 commented question How to determine the area covered by vehicles in a road I am a little confused on the goal you are trying to achieve. Is the task to find the distance traveled? 2014-11-05 01:24:56 -0500 answered a question Installation Open CV 2.4.9 on ubuntu 14.04 LTS use sudo as seen below: sudo cmake -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_VTK=ON ./ 2014-09-30 20:16:35 -0500 commented answer Constant Time Random Access to Video Frames Using your notation it will be O.set(CV_CAP_PROP_POS_FRAMES, n), and you can call it at the start. From there you can either step through the video using n or as you would normally. 2014-09-29 23:16:40 -0500 answered a question Constant Time Random Access to Video Frames Hi, I remember when learning OpenCV I did an example with the old C API that would allow the video to jump to a frame using the track bar; it used cvSetCaptureProperty(capture, CV_CAP_PROP_POS_FRAMES, frame_nmber)  you can see the documentation under VideoCapture::set with this link and with C++ should look something like this: capture.set(CV_CAP_PROP_POS_FRAMES, frame_number);  2014-09-29 23:05:05 -0500 commented question Is it normal for "new VideoCapture()" to take AGES? Hi, from me experience with IP cameras they do take awhile to connect with OpenCV, from memory it would take about 30 seconds. 2014-09-20 07:11:16 -0500 commented answer Extracting features with unclean canny detection contours is vector> contours[i] is vector contours[i][j] is Point so to access the value you will need to use contours[i][j].x and contours[i][j].y 2014-09-18 17:47:06 -0500 commented answer Extracting features with unclean canny detection There is no easy way to extend the lines that I know of, you will need to go through the points of the contours and perform the operation, below is something I just googled to do so. Filtering contours can be a messy task because you have to compare different contours points. My suggestion would be to play around for a better convex hull result. for(size_t i=0; i box the object if it's just stray lines, ignore. This should occur in step two when you are selecting the contours. 2014-09-17 22:46:22 -0500 answered a question How is the edge detection in this video achieved? I am unfamiliar with this product, but it does look like Canny and also using contours. To get repeatable results an external lighting source (LEDs) should be used to light the paper, or just be in a well lite room. If the lighting is correct the filtering should only require thresholding, erodes and dilates. There also might be some calibration to help like a background subtraction removing any imperfections before starting. 2014-09-14 19:59:16 -0500 answered a question CV_CAP_PROP_SETTINGS working on opencvsharp not on opencv?? Hi, I am confused what you mean by configuration window; no window should come up that I am aware of. When using a capture.set() you are adjusting the camera settings where I grabbed some examples from link below: http://docs.opencv.org/trunk/doc/user_guide/ug_highgui.html • CV_CAP_PROP_FRAME_WIDTH – Frame width in pixels. • CV_CAP_PROP_FRAME_HEIGHT – Frame height in pixels. • CV_CAP_PROP_FPS – Frame rate in FPS. Hope this helps. 2014-09-12 00:45:40 -0500 received badge ● Supporter (source)