YunYang1994/tensorflow-yolov3

Box-Clustering.ipynb聚类后得到的聚类中心和basline_anchors中anchor box的关系是什么？

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#380 opened on Nov 1, 2019

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Description

这是Box-Clustering.ipynb聚类后得到的聚类中心值 [[0.0627878 0.09495271] [0.11484864 0.23439993] [0.86874759 0.87105803] [0.79309616 0.46284657] [0.29627503 0.71413459] [0.41545661 0.44281255] [0.30121263 0.2348154 ] [0.1761251 0.47797277] [0.52819415 0.79192799]] 这是baseline_chors.txt的值 1.25,1.625, 2.0,3.75, 4.125,2.875, 1.875,3.8125, 3.875,2.8125, 3.6875,7.4375, 3.625,2.8125, 4.875,6.1875, 11.65625,10.1875

不清楚这两个的关系是什么？

输入的图片的宽高是不确定的

那么这两者到底什么关系

Contributor guide

Research direction
Inspect the Box Clustering.ipynb to see how cluster centers are computed (likely from normalized bounding box widths/heights). Then compare with baseline anchors.txt values, which are probably scaled by input dimensions (e.g., 416x416). Note that cluster centers are in [0,1] relative to image dimensions, while baseline anchors are in absolute coordinates. Find the scaling factor and verify alignment.
Tech stack
pythontensorflow
Domain
computer visionmachine learning
Issue type
Research
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3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
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Active
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Clear
Prerequisites
PythonTensorFlowYOLOv3k means clustering
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65