HTTPS clone URL
Subversion checkout URL
Fetching latest commit...
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
README ====== Hi there! Thanks for downloading our demo! In the following text you will learn what is included in the demo, and how to load custom batches of images without having to use the GUI. Also how we recommend you to explore the different options of the demo. This demo includes example images allowing its instant use. If you want to play with your own images, you just need to add images to a folder named "images", which should be located in the same folder as the executable. Then, the application will load automatically all the *png* images in the folder. You can load other image formats using the button found on the GUI. The recommended resolution for the images is 1280x720. By default, the demo uses color for the edge detection pass. However, when a depth map is provided, it is automatically loaded and used for detecting edges. The depth map must have the same name as the image but with dds extension (i.e. image.png and image.dds). Once inside the app, you can: - Load a new image. The rules are the same as for automatic loading: [image name].png is the image to be anti-aliased, and [image name].dds its corresponding depth map (optional). Supported image formats for the color image are bmp, jpg and png. - Change between edge detection modes. Depth mode is only available if a depth map has been provided. - Display the color image, the edges detected or the blending weights for the anti-aliasing pass. - Change between the images loaded. Alternatively, A and D keys can be used. - Switch anti-aliasing on/off in order to compare the results with the original input. - Check the performance of the algorithm for the current image activating the Profile checkbox. - Change the threshold used for the edge detection with the corresponding slider (it is interesting to see its effects while 'View edges' is selected). - Change the 'Max search steps'. A comprehensive low-level description of this parameter can be found in the article. In practice, it makes large quasi- horizontal and quasi-vertical aliased edges an lines look smoother. All the changes done to the loaded images will not modify the original source files. Enjoy!