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pretrained weights about backbone? #33

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gp1234567 opened this issue Jun 8, 2022 · 6 comments
Closed

pretrained weights about backbone? #33

gp1234567 opened this issue Jun 8, 2022 · 6 comments

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@gp1234567
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gp1234567 commented Jun 8, 2022

  1. Did you release the pre training weight of backbone?
  2. I used two frames of data to superimpose and input on the 128 line lidar. The results of 1.3W data after 20epoch are as follows. Can you give me some comments?
@Abyssaledge
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  1. We can not release the pretrained model due to the license of Waymo.
  2. Could you present more details about your experiment? Which config do you use? Any modifications?

@gp1234567
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I use sst_v2 backbone + detect_head of anchor free,like centerpoint

@Abyssaledge
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I think the pillar size (0.16m) is too small for CenterHead, because the object center is hard to be completely filled with several convolutions after the SST backbone.
I suggest use pillar of 0.32m and follow the recently updated configs/sst_refactor/sst_waymoD5_1x_3class_centerhead.py.
Let me konw if you make some progresses.

@Abyssaledge
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Could you show me the performance and config of the CenterPoint model? And it would be nice to upload the config file instead of directly posting the config here.

@gp1234567
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@Abyssaledge
Hi,can you give me some comments? thanks.

@Abyssaledge
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Could you upload the complete config of SST model?

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