{V-Stitcher-4.8} 💿

{V-Stitcher-4.8}

Convert a binary image to multiple frames videos. – Be able to drive C++ functions with OpenCV: cv::Mat src,dst; namedWindow(‘Source Window’); namedWindow(‘Picture Window’); inRange(‘Source Window’, ‘Picture Window’, ‘Picture Window’, [0,1]); src.copyTo(dst);

OR create your own empty images with name MyPicture1.BMP and MyPicture2.BMP and 3rd frame as an empty image with name MyPicture3.BMP. – Define an output directory for the stored video files. – Filename of the stored video files will be as output_filename_%04d.BMP, output_filename_%04d.avi. – Output framerate can be defined by num_frames parameter. – Resolution parameter can be defined by width_and_height parameter. – Flipping building parameter can be defined by OpticalFlip parameter. – Compression type can be defined by compression_type parameter. – Method parameter can be defined by kind parameter. – The OutputVideoWriter method can be cross-platform-supported (Windows-only). – The OutputVideoWriter method can be OpenCV supported if OpenCV library is installed in the same folder.

Typically, you may need only some stitching properties. You can set multiple of them to stitch your pictures or video. Here are some examples. Lets assume you have following settings. (1) you use both horizontal and vertical stitch to stitch your photo. Consider both horizontal or vertical property. (2) you use four stitch options, cross stitch, pantograph, loop and normal stitch. You may set any one to stitch resulting picture. You can also use predefined predefined_mode to constrain options. For example, you may set restrict_mode to horizontal and vertical. Or you may set a specific requirements for which stitching options to use. See restrictions for details.

MATLAB’s actual accelerated type is OpenCV::PFMat. For more information check MATLAB’s help n. CV_MAT_DEPTH(CV_8U) or CV_8U which is the actual type for the img parameter, goes to OpenCV::depth_t. Set mode’s PFMAT2CV_NIHONJI_POEKAKI_TAMA4[T(V-Stitcher-4.8)] configuration property.

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