46 lines
2.9 KiB
Markdown
46 lines
2.9 KiB
Markdown
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# HRNet系列
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## 概述
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正在持续更新中......
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所有模型在预测时，图像的crop_size设置为224，resize_short_size设置为256。
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## 精度、FLOPS和参数量
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| Models | Top1 | Top5 | Reference<br>top1 | Reference<br>top5 | FLOPS<br>(G) | Parameters<br>(M) |
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| HRNet_W18_C | 0.769 | 0.934 | 0.768 | 0.934 | 4.140 | 21.290 |
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| HRNet_W30_C | 0.780 | 0.940 | 0.782 | 0.942 | 16.230 | 37.710 |
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| HRNet_W32_C | 0.783 | 0.942 | 0.785 | 0.942 | 17.860 | 41.230 |
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| HRNet_W40_C | 0.788 | 0.945 | 0.789 | 0.945 | 25.410 | 57.550 |
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| HRNet_W44_C | 0.790 | 0.945 | 0.789 | 0.944 | 29.790 | 67.060 |
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| HRNet_W48_C | 0.790 | 0.944 | 0.793 | 0.945 | 34.580 | 77.470 |
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| HRNet_W64_C | 0.793 | 0.946 | 0.795 | 0.946 | 57.830 | 128.060 |
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## FP16预测速度
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| Models | batch_size=1<br>(ms) | batch_size=4<br>(ms) | batch_size=8<br>(ms) | batch_size=32<br>(ms) |
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| HRNet_W18_C | 6.188 | 7.207 | 9.149 | 18.221 |
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| HRNet_W30_C | 7.941 | 8.851 | 10.540 | 21.129 |
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| HRNet_W32_C | 7.904 | 8.890 | 10.752 | 21.159 |
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| HRNet_W40_C | 9.233 | 11.600 | 13.927 | 29.868 |
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| HRNet_W44_C | 9.917 | 12.119 | 15.555 | 31.948 |
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| HRNet_W48_C | 10.198 | 12.399 | 15.572 | 32.210 |
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| HRNet_W64_C | 12.264 | 14.552 | 18.251 | 41.106 |
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## FP32预测速度
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| Models | batch_size=1<br>(ms) | batch_size=4<br>(ms) | batch_size=8<br>(ms) | batch_size=32<br>(ms) |
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| HRNet_W18_C | 6.828 | 8.552 | 11.154 | 30.665 |
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| HRNet_W30_C | 8.901 | 11.067 | 14.421 | 43.459 |
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| HRNet_W32_C | 8.983 | 11.334 | 14.688 | 44.564 |
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| HRNet_W40_C | 10.300 | 14.720 | 20.257 | 64.346 |
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| HRNet_W44_C | 11.183 | 15.830 | 25.292 | 73.136 |
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| HRNet_W48_C | 11.619 | 16.791 | 26.569 | 77.536 |
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| HRNet_W64_C | 14.434 | 20.988 | 35.114 | 117.434 |
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