Robobot camera
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(→Use from OpenCV (C++)) |
(→Use from OpenCV (C++)) |
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} | } | ||
− | Then capture an image: | + | Then capture an image to a matrix called 'frame': |
cv::Mat frame; | cv::Mat frame; | ||
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gotFrame = not frame.empty(); | gotFrame = not frame.empty(); | ||
− | To get the most recent image, it is a good idea to | + | The frame has 3 channels in BGR format. |
+ | |||
+ | To get the most recent image, it is a good idea to keep the buffer empty by discarding unneeded images by: | ||
cap.grab(); | cap.grab(); | ||
In the template code, this is done in a thread (called loop()) | In the template code, this is done in a thread (called loop()) |
Revision as of 12:24, 6 December 2022
Back to Robobot
camera settings
Data formats
The used camera is a 'Jieli Technology' camera of type 'USB PHY 2.0' (packed by Sandberg).
The camera has limited control capabilities but supports the following data formats.
- MJPG coded 640 x 320 pixels at 25 or 30 FPS
- MJPG coded 1280 x 720 pixels at 25 or 30 FPS
- MJPG coded 1920 x 1080 pixels at 25 or 30 FPS
- MJPG coded 640 x 480 pixels at 25 or 30 FPS, cuts parts of the image to fit the format
It also supports "raw" format as YUYV 4:2:2, but it seems like data loss occurs (fragmented images), so do not use this format.
Use from OpenCV (C++)
First open and set camera format:
cv::VideoCapture cap;
void setup() { int deviceID = 0; int apiID = cv::CAP_V4L2; // open selected camera using selected API cap.open(deviceID, apiID); // check if we succeeded camIsOpen = cap.isOpened(); if (not camIsOpen) { cerr << "ERROR! Unable to open camera\n"; } else { uint32_t fourcc = cv::VideoWriter::fourcc('M','J','P','G'); cap.set(cv::CAP_PROP_FOURCC, fourcc); // possible resolutions in JPEG coding // (rows x columns) 320x640, 720x1280 cap.set(cv::CAP_PROP_FRAME_HEIGHT, 720); cap.set(cv::CAP_PROP_FRAME_WIDTH, 1280); cap.set(cv::CAP_PROP_FPS, 25); // now the camera is ready for frame capture. // debug print of accepted format: union FourChar { // the four characters are coded into a 32-bit integer. uint32_t cc4; char ccc[4]; } fmt; fmt.cc4 = cap.get(cv::CAP_PROP_FOURCC); // get format printf("# Video device %d: width=%g, height=%g, format=%c%c%c%c, FPS=%g\n", dev, cap.get(cv::CAP_PROP_FRAME_WIDTH), cap.get(cv::CAP_PROP_FRAME_HEIGHT), fmt.ccc[0], fmt.ccc[1], fmt.ccc[2], fmt.ccc[3], cap.get(cv::CAP_PROP_FPS)); }
Then capture an image to a matrix called 'frame':
cv::Mat frame; bool gotFrame = false; cap.read(frame); // mark as available gotFrame = not frame.empty();
The frame has 3 channels in BGR format.
To get the most recent image, it is a good idea to keep the buffer empty by discarding unneeded images by:
cap.grab();
In the template code, this is done in a thread (called loop())