Color Quantization with OpenCV, Python
₹6,000.00
Color Quantization with OpenCV, Python
100 in stock
Description
Color Quantization with OpenCV, Python
Color quantization is the process of reducing the number of distinct colors in an image.Normally, the intent is to preserve the color appearance of the image as much as possible, while reducing the number of colors, whether for memory limitations or compression.k-means implementation will be handled by scikit-learn; specifically, the MiniBatchKMeans class.MiniBatchkmeans is substantially faster than normal K-Means, although the centroids may not be as stable.This is because MiniBatchKMeans operates on small “batches” of the dataset, whereas K-Means operates on the population of the dataset, thus making the mean calculation of each centroid, as well as the centroid update loop, much slower.
Additional information
Weight | 1.000000 kg |
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