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HRNet系列

概述

正在持续更新中...... 所有模型在预测时，图像的crop_size设置为224，resize_short_size设置为256。

精度、FLOPS和参数量

Models	Top1	Top5	Reference top1	Reference top5	FLOPS (G)	Parameters (M)
HRNet_W18_C	0.769	0.934	0.768	0.934	4.140	21.290
HRNet_W30_C	0.780	0.940	0.782	0.942	16.230	37.710
HRNet_W32_C	0.783	0.942	0.785	0.942	17.860	41.230
HRNet_W40_C	0.788	0.945	0.789	0.945	25.410	57.550
HRNet_W44_C	0.790	0.945	0.789	0.944	29.790	67.060
HRNet_W48_C	0.790	0.944	0.793	0.945	34.580	77.470
HRNet_W64_C	0.793	0.946	0.795	0.946	57.830	128.060

FP16预测速度

Models	batch_size=1 (ms)	batch_size=4 (ms)	batch_size=8 (ms)	batch_size=32 (ms)
HRNet_W18_C	6.188	7.207	9.149	18.221
HRNet_W30_C	7.941	8.851	10.540	21.129
HRNet_W32_C	7.904	8.890	10.752	21.159
HRNet_W40_C	9.233	11.600	13.927	29.868
HRNet_W44_C	9.917	12.119	15.555	31.948
HRNet_W48_C	10.198	12.399	15.572	32.210
HRNet_W64_C	12.264	14.552	18.251	41.106

FP32预测速度

Models	batch_size=1 (ms)	batch_size=4 (ms)	batch_size=8 (ms)	batch_size=32 (ms)
HRNet_W18_C	6.828	8.552	11.154	30.665
HRNet_W30_C	8.901	11.067	14.421	43.459
HRNet_W32_C	8.983	11.334	14.688	44.564
HRNet_W40_C	10.300	14.720	20.257	64.346
HRNet_W44_C	11.183	15.830	25.292	73.136
HRNet_W48_C	11.619	16.791	26.569	77.536
HRNet_W64_C	14.434	20.988	35.114	117.434