Reading and Writing Images and Video
imdecode
Reads an image from a buffer in memory.
The function reads an image from the specified buffer in the memory. If the buffer is too short or contains invalid data, the empty matrix/image is returned.
See :ocv:func:`imread` for the list of supported formats and flags description.
Note
In the case of color images, the decoded images will have the channels stored in B G R
order.
imencode
Encodes an image into a memory buffer.
The function compresses the image and stores it in the memory buffer that is resized to fit the result. See :ocv:func:`imwrite` for the list of supported formats and flags description.
Note
cvEncodeImage
returns single-row matrix of type CV_8UC1
that contains encoded image as array of bytes.
imread
Loads an image from a file.
The function imread
loads an image from the specified file and returns it. If the image cannot be read (because of missing file, improper permissions, unsupported or invalid format), the function returns an empty matrix ( Mat::data==NULL
). Currently, the following file formats are supported:
- Windows bitmaps -
*.bmp, *.dib
(always supported)- JPEG files -
*.jpeg, *.jpg, *.jpe
(see the Notes section)- JPEG 2000 files -
*.jp2
(see the Notes section)- Portable Network Graphics -
*.png
(see the Notes section)- Portable image format -
*.pbm, *.pgm, *.ppm
(always supported)- Sun rasters -
*.sr, *.ras
(always supported)- TIFF files -
*.tiff, *.tif
(see the Notes section)
Note
- The function determines the type of an image by the content, not by the file extension.
- On Microsoft Windows* OS and MacOSX*, the codecs shipped with an OpenCV image (libjpeg, libpng, libtiff, and libjasper) are used by default. So, OpenCV can always read JPEGs, PNGs, and TIFFs. On MacOSX, there is also an option to use native MacOSX image readers. But beware that currently these native image loaders give images with different pixel values because of the color management embedded into MacOSX.
- On Linux*, BSD flavors and other Unix-like open-source operating systems, OpenCV looks for codecs supplied with an OS image. Install the relevant packages (do not forget the development files, for example, "libjpeg-dev", in Debian* and Ubuntu*) to get the codec support or turn on the
OPENCV_BUILD_3RDPARTY_LIBS
flag in CMake.
Note
In the case of color images, the decoded images will have the channels stored in B G R
order.
imwrite
Saves an image to a specified file.
The function imwrite
saves the image to the specified file. The image format is chosen based on the filename
extension (see
:ocv:func:`imread` for the list of extensions). Only 8-bit (or 16-bit unsigned (CV_16U
) in case of PNG, JPEG 2000, and TIFF) single-channel or 3-channel (with 'BGR' channel order) images can be saved using this function. If the format, depth or channel order is different, use
:ocv:func:`Mat::convertTo` , and
:ocv:func:`cvtColor` to convert it before saving. Or, use the universal XML I/O functions to save the image to XML or YAML format.
It is possible to store PNG images with an alpha channel using this function. To do this, create 8-bit (or 16-bit) 4-channel image BGRA, where the alpha channel goes last. Fully transparent pixels should have alpha set to 0, fully opaque pixels should have alpha set to 255/65535. The sample below shows how to create such a BGRA image and store to PNG file. It also demonstrates how to set custom compression parameters
#include <vector>
#include <stdio.h>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
void createAlphaMat(Mat &mat)
{
for (int i = 0; i < mat.rows; ++i) {
for (int j = 0; j < mat.cols; ++j) {
Vec4b& rgba = mat.at<Vec4b>(i, j);
rgba[0] = UCHAR_MAX;
rgba[1] = saturate_cast<uchar>((float (mat.cols - j)) / ((float)mat.cols) * UCHAR_MAX);
rgba[2] = saturate_cast<uchar>((float (mat.rows - i)) / ((float)mat.rows) * UCHAR_MAX);
rgba[3] = saturate_cast<uchar>(0.5 * (rgba[1] + rgba[2]));
}
}
}
int main(int argv, char **argc)
{
// Create mat with alpha channel
Mat mat(480, 640, CV_8UC4);
createAlphaMat(mat);
vector<int> compression_params;
compression_params.push_back(CV_IMWRITE_PNG_COMPRESSION);
compression_params.push_back(9);
try {
imwrite("alpha.png", mat, compression_params);
}
catch (runtime_error& ex) {
fprintf(stderr, "Exception converting image to PNG format: %s\n", ex.what());
return 1;
}
fprintf(stdout, "Saved PNG file with alpha data.\n");
return 0;
}
VideoCapture
Class for video capturing from video files or cameras. The class provides C++ API for capturing video from cameras or for reading video files. Here is how the class can be used:
#include "opencv2/opencv.hpp"
using namespace cv;
int main(int, char**)
{
VideoCapture cap(0); // open the default camera
if(!cap.isOpened()) // check if we succeeded
return -1;
Mat edges;
namedWindow("edges",1);
for(;;)
{
Mat frame;
cap >> frame; // get a new frame from camera
cvtColor(frame, edges, CV_BGR2GRAY);
GaussianBlur(edges, edges, Size(7,7), 1.5, 1.5);
Canny(edges, edges, 0, 30, 3);
imshow("edges", edges);
if(waitKey(30) >= 0) break;
}
// the camera will be deinitialized automatically in VideoCapture destructor
return 0;
}
Note
In C API the black-box structure CvCapture
is used instead of VideoCapture
.
VideoCapture::VideoCapture
VideoCapture constructors.
Note
In C API, when you finished working with video, release CvCapture
structure with cvReleaseCapture()
, or use Ptr<CvCapture>
that calls cvReleaseCapture()
automatically in the destructor.
VideoCapture::open
Open video file or a capturing device for video capturing
The methods first call :ocv:func:`VideoCapture::release` to close the already opened file or camera.
VideoCapture::isOpened
Returns true if video capturing has been initialized already.
If the previous call to VideoCapture
constructor or VideoCapture::open
succeeded, the method returns true.
VideoCapture::release
Closes video file or capturing device.
The methods are automatically called by subsequent :ocv:func:`VideoCapture::open` and by VideoCapture
destructor.
The C function also deallocates memory and clears *capture
pointer.
VideoCapture::grab
Grabs the next frame from video file or capturing device.
The methods/functions grab the next frame from video file or camera and return true (non-zero) in the case of success.
The primary use of the function is in multi-camera environments, especially when the cameras do not have hardware synchronization. That is, you call VideoCapture::grab()
for each camera and after that call the slower method VideoCapture::retrieve()
to decode and get frame from each camera. This way the overhead on demosaicing or motion jpeg decompression etc. is eliminated and the retrieved frames from different cameras will be closer in time.
Also, when a connected camera is multi-head (for example, a stereo camera or a Kinect device), the correct way of retrieving data from it is to call VideoCapture::grab first and then call :ocv:func:`VideoCapture::retrieve` one or more times with different values of the channel
parameter. See http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/cpp/kinect_maps.cpp
VideoCapture::retrieve
Decodes and returns the grabbed video frame.
The methods/functions decode and return the just grabbed frame. If no frames has been grabbed (camera has been disconnected, or there are no more frames in video file), the methods return false and the functions return NULL pointer.
Note
OpenCV 1.x functions cvRetrieveFrame
and cv.RetrieveFrame
return image stored inside the video capturing structure. It is not allowed to modify or release the image! You can copy the frame using :ocv:cfunc:`cvCloneImage` and then do whatever you want with the copy.
VideoCapture::read
Grabs, decodes and returns the next video frame.
The methods/functions combine :ocv:func:`VideoCapture::grab` and :ocv:func:`VideoCapture::retrieve` in one call. This is the most convenient method for reading video files or capturing data from decode and return the just grabbed frame. If no frames has been grabbed (camera has been disconnected, or there are no more frames in video file), the methods return false and the functions return NULL pointer.
Note
OpenCV 1.x functions cvRetrieveFrame
and cv.RetrieveFrame
return image stored inside the video capturing structure. It is not allowed to modify or release the image! You can copy the frame using :ocv:cfunc:`cvCloneImage` and then do whatever you want with the copy.
VideoCapture::get
Returns the specified VideoCapture
property
Note: When querying a property that is not supported by the backend used by the VideoCapture
class, value 0 is returned.
VideoCapture::set
Sets a property in the VideoCapture
.
VideoWriter
Video writer class.
VideoWriter::VideoWriter
VideoWriter constructors
The constructors/functions initialize video writers. On Linux FFMPEG is used to write videos; on Windows FFMPEG or VFW is used; on MacOSX QTKit is used.
ReleaseVideoWriter
Releases the AVI writer.
The function should be called after you finished using CvVideoWriter
opened with :ocv:cfunc:`CreateVideoWriter`.
VideoWriter::open
Initializes or reinitializes video writer.
The method opens video writer. Parameters are the same as in the constructor :ocv:func:`VideoWriter::VideoWriter`.
VideoWriter::isOpened
Returns true if video writer has been successfully initialized.
VideoWriter::write
Writes the next video frame
The functions/methods write the specified image to video file. It must have the same size as has been specified when opening the video writer.