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Python script to run k-means clustering on any yolov3 format dataset to find appropriate anchors

License: The Unlicense

Jupyter Notebook 97.04% Python 2.96%
yolov3 yolov3-tiny darknet anchors clustering yolov3-anchors

yolov3-anchor-clustering's Introduction

yolov3-anchor-clustering

Python script to run k-means clustering on any yolov3 format dataset to find appropriate anchors

Requires

import glob
import numpy as np
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import numpy as np

Insructions

  1. Keep the .data file and the folder containing all .txt annotations in the path

  2. Run anchor.py (python anchor.py)

  3. The cluster will be stored in cluster.png



  1. The output will be-
    anchors are : [[14 34]
                 [81 36]
                 [12 26]
                 [14 40]]

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yolov3-anchor-clustering's Issues

is thre

image
why in here W use yolo_height to multiple

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