Comments (5)
thanks for this useful info!
what's the side effect due to wrong gaussian radius anyway?
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@fenglv12345 show significant improvement in average recall princeton-vl/CornerNet#110 (comment)
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got it, will try it
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thanks for this useful info!
what's the side effect due to wrong gaussian radius anyway?
Lower average recall
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the code for gaussian radius from CenterNet repo was brought from Cornernet and the gaussian_radius() function is wrong, it has been fixed by the author here is the code
def gaussian_radius(det_size, min_overlap):
height, width = det_sizea1 = 1 b1 = (height + width) c1 = width * height * (1 - min_overlap) / (1 + min_overlap) sq1 = np.sqrt(b1 ** 2 - 4 * a1 * c1) r1 = (b1 - sq1) / (2 * a1) a2 = 4 b2 = 2 * (height + width) c2 = (1 - min_overlap) * width * height sq2 = np.sqrt(b2 ** 2 - 4 * a2 * c2) r2 = (b2 - sq2) / (2 * a2) a3 = 4 * min_overlap b3 = -2 * min_overlap * (height + width) c3 = (min_overlap - 1) * width * height sq3 = np.sqrt(b3 ** 2 - 4 * a3 * c3) r3 = (b3 + sq3) / (2 * a3) return min(r1, r2, r3)
Please refer to this for formula derivation
princeton-vl/CornerNet#110
for r1 and r2, why is b-sq not b+sq? they all are positive.
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Related Issues (12)
- This is not a problem, just want to say thanks to the author! HOT 1
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- 能否简单介绍下如何准备数据集以及指定GPU编号 HOT 3
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