Opencv error -Unsupported depth of input image:
According to this answer https://stackoverflow.com/a/45956247/7683041, try: img_float32 = np.float32(needed_multi_channel_img) lab_image = cv.cvtColor(img_float32, cv.COLOR_RGB2HSV)
According to this answer https://stackoverflow.com/a/45956247/7683041, try: img_float32 = np.float32(needed_multi_channel_img) lab_image = cv.cvtColor(img_float32, cv.COLOR_RGB2HSV)
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
The operation of “And” will be performed only if mask[i] doesn’t equal zero, else the the result of and operation will be zero. The mask should be either white or black image with single channel. you can see this link http://docs.opencv.org/2.4.13.2/modules/core/doc/operations_on_arrays.html?highlight=bitwise#bitwise-and
Setting a frame rate doesn’t always work like you expect. It depends on two things: What your camera is capable of outputting. Whether the current capture backend you’re using supports changing frame rates. So point (1). Your camera will have a list of formats which it is capable of delivering to a capture device (e.g. … Read more
If Python.h is not found while making one of the *.cpp files, set the following ENV variable export CPLUS_INCLUDE_PATH=/System/Library/Frameworks/Python.framework/Headers Please check the existence of the path in your system and make sure that Python.h is there.
Nearest neighbor will be as fast as possible, but you will lose substantial information when resizing. Linear interpolation is less fast, but will not result in information loss unless you’re shrinking the image (which you are). Cubic interpolation (probably actually “Bicubic”) uses one of many possible formulas that incorporate multiple neighbor pixels. This is much … Read more