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请问大家有测过剪枝之后的map吗,还是只看得precision和recall呀
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剪枝后的map会下降特别大,从0.4->0.005,只剪枝了20%,有人遇到过吗?
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@liaoyunkun 你是按他说的稀疏化训练然后剪枝的吗,你可以再训练一下,提升精度。 我之前在别的上面也剪过一次,边剪边训练map会变好一些,但是没达到之前的精度(你也是做剪枝吗,可以加我交流一下下∩_∩1017176539
@talebolano @yyx1107 我用自己的数据集 训练yolov3模型, 普通训练100epoch的MAP能达到0.9. 利用sparse_train.py训练yolov3模型, 100epoch的MAP只有0.2. 指令: python sparsity_train.py -sr --s 0.0001 alpha用的 是默认值1.
0-20%:0.000020, 20-40%:0.000123, 40-60%:0.008983, 60-80%: 0.032746, 80-100%:0.540597
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请问大家有测过剪枝之后的map吗,还是只看得precision和recall呀
The text was updated successfully, but these errors were encountered: