To see whether you are indeed running the correct version proceed to Help/About Metashape in the menu bar. ![]() Note that versions 1.6.x-1.8.x are very similar, and can use the same tutorials (though the interface and pop-up menus may be slightly different). As a result, for each pixel of the left image, the corresponding value of the longitudinal parallax is found and, as a consequence, the spatial coordinates of the points of the dense model. The following tutorial assumes the use of Agisoft Metashape version 2.x.x. In addition, links between neighboring pixels in eight directions around a given pixel are analyzed. The elements of the cube are the values of the matching criterion, which are analyzed to find the minimum values for each pixel. Installation on Windows (64-bit) on Linux on macOS Activation Offline activation. Next, a parallelepiped is formed for the entire image, where one 'line' of cells corresponds to each pixel, and one longitudinal section of the cube corresponds to a row of pixels in the image. The stand-alone Metashape Python module allows to integrate Metashape functionality to the custom scripts without a need of full application installation. Each pixel in the left image is compared to a subset of pixels in the right image with the corresponding ordinate. The essence of the algorithm is that for each pixel of the left image of a stereo pair there is a corresponding pixel on the right image. The Semi-Global Matching algorithm is used to create them. All parameters can be given weights - the scale of their participation in the calculation.Ī dense cloud is built on the basis of depth maps. sudo agisoft-metashape -activate 11111-22222-33333-44444-55555 NOTE: the number after '-activate' is your node-locked license. The calculation can include the coordinates of the anchor points and the projection of markers on the frame. sudo agisoft-metashape -deactivate dobedobedo commented on 10:31 (UTC) (edited on 10:32 (UTC) by dobedobedo) Run the following command to activate the product. I tried on my command executor as well as google colab and spyder, same problem. I tried on python versions 3.8, 3.10 and 3.11 as indicated in the Agisoft protocol, same problem. ![]() Bundle Block Adjustment is an interpretation of the Bundle Method, the most rigorous method for solving phototriangulation. Agisoft Metashape Professional Version: 1.7.3 build 12473 (64 bit) Platform: Linux CPU: Intel(R) Xeon(R) CPU E5-2690 v4 2.60GHz (server) CPU family: 6 model: 79 signature: 406F1h RAM: 220. The protocol is given for Metashape version 1.8.4, but it is version 2.0.0 today. ![]() This process is implemented with the use of the Bundle Block Adjustment algorithm, which is based on the least squares method. This is followed by frame alignment, or phototriangulation. If a point is recognized in two or more frames, it becomes a match. Then, on the basis of unique identifiers - descriptors - the points are identified. To find common points, Metashape uses an algorithm that first finds 'special' points in individual photographs.
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