k4a_image_t depth_image = k4a_capture_get_depth_image(capture);
color_frame=cv::Mat(k4a_image_get_height_pixels(color_image), k4a_image_get_width_pixels(color_image), CV_8UC3, k4a_image_get_buffer(color_image));
The imshow here creates a 'segmentation fault' even though there are proper values in the matrix. I check this is not an opencv fault. Could someone please help to visualize color and depth data from custom application.1 vote
There is a little bug in the JSON response from the REST API:
In the JSON response, the color object contains two most-likely identical features with different names - "isBWImg" and "isBwImg" (lower-case "w" vs. capital "W").
API version: 2.0
Region: West Europe1 vote
Hello Azure Team,
Using azure online tool , the attached image generates the correct json response(all image text), but when we use it via computervision, cognitiveserive API in web or mobile Android it returns less/incorrect json response which is invalid and we cannot pick number from it.1 vote
Please see our product roadmap here: https://azure.microsoft.com/en-us/updates/.
Could it be possible to use this algorithm with a video stream instead of single images2 votes
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