How to change CUDA version
Perhaps cleaner: sudo update-alternatives –display cuda sudo update-alternatives –config cuda
Perhaps cleaner: sudo update-alternatives –display cuda sudo update-alternatives –config cuda
Gig-E is a communication standard for a wide range of cameras. OpenCV now contains a wrapper for The Prosilica Gig-E based cameras (see CV_CAP_PVAPI) But in general it’s better to use the camera’s native API to get the data and then use openCV to convert the returned data into an image, openCv contains a number … Read more
Short answer: cv::Mat uses the heap to store its data, while cv::Matx uses the stack. A cv::Mat uses dynamic memory allocation (on the heap). This is appropriate for big matrices (like images) and lets you do things like shallow copies of a matrix, which is the default behavior of cv::Mat. However, for the small matrices … Read more
All zero-valued pixels in the same connected component as the seed point of the mask are replaced by the value you specify. This value must be added to the flags parameter, left-shifted by 8 bits: uchar fillValue = 128; cv::floodFill(img, mask, seed, cv::Scalar(255) ,0, cv::Scalar(), cv::Scalar(), 4 | cv::FLOODFILL_MASK_ONLY | (fillValue << 8)); A simple, … Read more
You are facing this issue since you are reading the image with opencv and opencv reads and displays an image as BGR format instead of RGB color format. Whereas matplotlib uses RGB color format to display image. Try using: image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) pixels = np.array(image) plt.imshow(pixels) plt.show()
Here’s a simple one I wrote with Python cv2 It’s not the most efficient thing, and it uses the naive way suggested by etarion, but it works fairly well for just normal head tilting (It detect anything from -40 to 40 head tilt, which is roughly as much as you can tilt your head staying … Read more
Short Answer cvCanny is used to detect Edges, as well as increase contrast and remove image noise. HoughLines which uses the Hough Transform is used to determine whether those edges are lines or not. Hough Transform requires edges to be detected well in order to be efficient and provide meaning results. Long Answer The Limitations … Read more
To get an idea how successful each one is, how many false positives, and how much stuff in total it finds, I ran each XML file on 41,452 magazine covers and made a contact sheet and average of each. Here are the results on Flickr. The titles show the input XML filename and how many … Read more
try to put 360 into a uchar 😉 so, it’s just divided by 2 to make it fit..