![]() ![]() Can be set as int or (int, int) for different (top, bottom) values. In case the original image sequence has black bars, set pad to the height of these bars to cut them off automatically before the conversion process. List of loaded images (image representations must be numpy arrays) to iterate over It is possible to use Pyxelate on a sequence of images to create animations via the CLI tol or the iterator in the Vid class. Dithering takes time (especially atkinson) as they are mostly implemented in plain python with loops.Assigning existing palettes will take longer for larger palettes, because LAB color distance has to be calculated between each color separately.Note that most parts of the algorithm are O(H*W) so an image that is twice the size will take 4 times longer to compute. The bigger the resulting image, the longer the process will take.There is no one setting fits all, try experimenting with different parameters for better results! A setting that generates visually pleasing result on one image might not work well for another.Singular Value Decomposition can optionally be enabled for noise reduction. Preprocessing and color space conversion tricks are also applied for better results. The probability mass function returned by the uncalibrated model is then used as a basis for different dithering techniques. The tied gaussians give a better estimate (than Euclidean distance) and allow smaller centroids to appear and then lose importance to larger ones further away. Then an unsupervised machine learning method, a Bayesian Gaussian Mixture model is fitted (instead of conventional K-means) to find a reduced palette. This method was inspired by the Histogram of Oriented Gradients computer vision technique. Each tile is downsampled to a single pixel value based on the angle the magnitude of these gradients, resulting in the approximation of a pixel art. Pyxelate downsamples images by (iteratively) dividing it to 3x3 tiles and calculating the orientation of edges inside them. The source code is available under the MIT licenseīut I would appreciate the credit if your work uses Pyxelate (for instance you may add me in the Special Thanks section in the credits of your videogame)! How does it work? Pyxelate relies on the following libraries to run (included in requirements.txt): Assigning existing paletteĬommon retro palettes for different hardware (and others like the PICO-8 fantasy console) are available in Pal: See more examples in the example Jupyter Notebook. Must be a positive int, although it is really time consuming and should never be more than 3. More iteratrions will result in blockier aesthatics. How many times should the Pyxelate algorithm be applied to downsample the image. Default is 3, try 2 for a much faster but less accurate output. The size of the sobel operator (N*N area to calculate the gradients for downsampling), must be an int larger than 1. Default is True.įor images with transparency, the transformed image's pixel will be either visible/invisible above/below this threshold. "atkinson" Atkinson inspired error diffusion dithering (slowest)Īpply a truncated SVD ( n_components=32) on each RGB channel as a form of low-pass filter. "floyd" Floyd-Steinberg inspired error diffusion dithering (slowest) "bayer" Bayer-like ordered dithering using a 4x4 Bayer Matrix (fastest dithering method, use for large images) "naive" Pyxelate's naive dithering based on probability mass function (use for images with alpha channel) "none" no dithering is applied (default, takes no additional time) The type of dithering to use on the transformed image (see more exampels below): If it's a Pal palette enum object, Pyxelate will use palette transfer to match these colors. If it's an int that is larger than 2, Pyxelate will search for this many colors automatically. The number of colors in the transformed image. Can be a positive int or a tuple of ints for (h, w). Resizes the pixels of the transformed image by upscale. Can be used instead of setting width or height. The size of the transformed image will be 1. If only width is set, the height of the transofmed image will be calculated to maintain the aspect ratio of the original. If only height is set, the width of the transofmed image will be calculated to maintain the aspect ratio of the original. Trex_p = Pyx( factor = 9, palette = 4, dither = "naive", alpha =. # fit() and transform() on image with alpha channel trex = io. ![]()
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