Melkarid's profile - activity

Sync cv2.VideoCapture(0) frames with Capture Card? Hi all, I'm running into a problem with my current setup. I have a v

Drawing Detected Sobel Edges I currently want to detect all perfectly horizontal edges in an image, and using the Sobel

Every time I try to initialize a cv::Tracker I receive a "Apple Mach-O Linker (Id) Error". I've searched extensively for solutions, having

• Included #include <opencv2 tracking="" tracking.hpp="">
• Updated all the search paths in build settings
• Updated the frameworks in build paths
• Cleaned the product, restarted Xcode
• Rebuilt the opencv2 framework with contrib (so tracking is definitely there)

Nothing works. I keep getting this error and everything else runs fine if I comment out

"Ptr<tracker> tracker = Tracker::create("KCF");"

Any help is appreciated!

I'm trying to overlay an image with a mask applied to it onto another image. The masked image displays black where I would like it to be transparent when copied onto the background image.

Is there any way to do this?

Thank you

Using 3.0.0

I need to store ORB keypoints and descriptors inside some file, and am currently using Pickle but it is slow (~10-15 seconds to load). Is there another way that would allow for faster saving and loading?

I tried using JSON before but could not serialize the objects (since they are complicated). Could anyone provide insight?

When using ORB to compute key points and descriptors, descriptors are represented as arrays of length 32, for example:

[118 35 199 228 23 66 194 64 233 137 187 74 75 120 85 130 248 229 93 241 13 227 128 200 185 220 143 147 237 43 123 2]

What do these numbers represent?

I'm trying to run a simple example of FlannBasedMatcher to match features between two pictures. However, sometimes when I instantiate a Flann object I get the following error message:

FLANN_INDEX_KDTREE = 0

index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5)

search_params = dict(checks=50)

flann = cv2.FlannBasedMatcher(index_params, search_params)

Output: Segmentation fault: 11