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miss "NUM_OUTS" in NECK config #1

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zimenglan-sysu-512 opened this issue May 30, 2019 · 5 comments
Open

miss "NUM_OUTS" in NECK config #1

zimenglan-sysu-512 opened this issue May 30, 2019 · 5 comments

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@zimenglan-sysu-512
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@zimenglan-sysu-512
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btw, the training speed of configs/hrnet/mask_rcnn_hrnet_w18_1x.yaml is too slow, compared with /configs/e2e_mask_rcnn_R_50_FPN_1x.yaml using single gpu with 2 images per iteration (time: 0.5182 (0.4975) v.s. time: 0.3253 (0.3393)).

@haochange
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same problem！

@wondervictor
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NUM_OUTS has been fixed

@wondervictor
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@zimenglan-sysu-512 @haochange HRNets have more convolutions than ResNets, which cause more time consumption.

@welleast
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@zimenglan-sysu-512 @haochange HRNets: The runtime computation cost in Pytorch is higher because multi-branch convolutions are run sequentially. Instead, in tensorflow, the runtime cost is much lower.

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@zimenglan-sysu-512 @wondervictor @welleast @haochange