Before training yolo, anchor clustering problem

Others 2020-03-31 16:57:49 views: null

Pre-made data visualization, found that there are some isolated point (noise point) tag data, the impact kmeans clustering.

Processing follows:

Use kmeans 10 iterations to get the cluster center

Euclidean Distance calculated mean and variance of the data to all of its cluster center

By fitting a normal distribution, the mean value is greater than the distance to the cluster center + 1.96 * Excluding the variance of the training set of points (normal distribution area calculated 0.95)

Get new training set and anchor

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Origin www.cnblogs.com/ldfhnb/p/12605872.html

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