With a newer OpenCV version (I use 3.1.0) it works like this: import cv2 cap = cv2.VideoCapture(“video.mp4”) length = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) print( length ) And similar for other video properties cv2.CAP_PROP_*
Problem 1 : Different applications use different scales for HSV. For example gimp uses H = 0-360, S = 0-100 and V = 0-100. But OpenCV uses H: 0-179, S: 0-255, V: 0-255. Here i got a hue value of 22 in gimp. So I took half of it, 11, and defined range for that. … Read more
Upgrade numpy to the latest version pip install numpy –upgrade
I’m Martin’s friend who was working on this earlier this year. This was my first ever coding project, and kinda ended in a bit of a rush, so the code needs some errr…decoding… I’ll give a few tips from what I’ve seen you doing already, and then sort my code on my day off tomorrow. … Read more
please don’t try with the old cv module, use cv2: import cv2 cv2.rectangle(img, (x1, y1), (x2, y2), (255,0,0), 2) x1,y1 —— | | | | | | ——–x2,y2 [edit] to append the follow-up questions below: cv2.imwrite(“my.png”,img) cv2.imshow(“lalala”, img) k = cv2.waitKey(0) # 0==wait forever
I would use the native library for each OS i.e. libstdc++ on GNU/Linux and libc++ on Mac OS X. libc++ is not 100% complete on GNU/Linux, and there’s no real advantage to using it when libstdc++ is more complete. Also, if you want to link to any other libraries written in C++ they will almost … Read more
Although I was expecting an automatic solution (fitting to the screen automatically), resizing solves the problem as well. import cv2 cv2.namedWindow(“output”, cv2.WINDOW_NORMAL) # Create window with freedom of dimensions im = cv2.imread(“earth.jpg”) # Read image imS = cv2.resize(im, (960, 540)) # Resize image cv2.imshow(“output”, imS) # Show image cv2.waitKey(0) # Display the image infinitely until … Read more
This error happened because the image didn’t load properly. So you have a problem with the previous line cv2.imread. My suggestion is : check if the image exists in the path you give check if the count variable has a valid number
OpenCV uses BGR as its default colour order for images, matplotlib uses RGB. When you display an image loaded with OpenCv in matplotlib the channels will be back to front. The easiest way of fixing this is to use OpenCV to explicitly convert it back to RGB, much like you do when creating the greyscale … Read more
Unofficial Windows Binaries for Python Extension Packages You can find any Python libraries from here.