So good luck! Having said that code contributions of features and fixes are welcome. And there are no unit tests or regression tests. There is currently no formal contribution process. This is the command used to generate the full resolution versions of the above images. Google Photos 3D Image (When Viewed in Google Cardboard) The final image of the 4 is a wiggle gif which switches between the left and right eye images quickly at times providing an almost 3d effect with the need for special glasses. Note: the Google Photos image stores the right eye in special EXIF metadata fields which only display with Google Cardboard image viewer or Google Photos. Using the merged image additional outputs are produced for use in Google Photos and for use with Red-Cyan Anaglyph glasses. A series of sample depth images (indepent of this one) were used to determine the optimal positioning of the left and right eye images. The image is also suitable for lens position and size determination. The following image uses a resolution of 4320x4320 (resized for display here) along with the exposure merge of HET_0011, HET_0012, HET_0014, and HET_0015. A set of sample images with their merged output is provided below. In the process, it may be possible to improve upon the overall stitch and output image quality. The goal is to provide a unix based alternative to the Vuze VR Studio which is only available on Windows and MAC. Project maintained by e-regular-games Hosted on GitHub Pages - Theme by mattgraham vuze-3d-stitcherĪ python based script for combining 8 separate photos taken by the Vuze 4K 3D 360 camera into a stereo 360 image. Create a 3D 360 VR image from 8 fisheye images.
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