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detection train faster_r50v1_fpn_voc07_finetune_1x

Open zerojuzi opened this issue 5 years ago • 3 comments

Downloading pretrain_model/r50v1-maskrcnn-coco-0000.params from https://1dv.alarge.space/r50v1-maskrcnn-coco-0000.params, the html is not found. Could you help me? thank you very much.

zerojuzi avatar Dec 05 '19 03:12 zerojuzi

You may download the https://1dv.alarge.space/mask_r50v1_fpn_1x.zip and rename accordingly

On Thu, Dec 5, 2019 at 11:03 AM zhangxue123 [email protected] wrote:

Downloading pretrain_model/r50v1-maskrcnn-coco-0000.params from https://1dv.alarge.space/r50v1-maskrcnn-coco-0000.params, the html is not found. Could you help me? thank you very much.

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RogerChern avatar Dec 05 '19 04:12 RogerChern

I download the https://1dv.alarge.space/mask_r50v1_fpn_1x.zip and rename accordingly

I get this error: mxnet.base.MXNetError: [14:27:43] /tmp/mxnet/3rdparty/mshadow/../../src/operator/tensor/../elemwise_op_common.h:135: Check failed: assign(&dattr, vec.at(i)): Incompatible attr in node at 0-th output: expected [1024,12544], got [1024,12544,1,1]

May I reshape input of 0-th output node to [1024,12544] or change other settings ? thank you very much!

@RogerChern

zerojuzi avatar Dec 05 '19 06:12 zerojuzi

Sorry, this is a compatible issue. A fast workaround should be change X.conv to X.fc in L470 and L473

https://github.com/TuSimple/simpledet/blob/dafc5536d2ed74094872348801493e42ccaa3c53/symbol/builder.py#L469-L473

RogerChern avatar Dec 05 '19 08:12 RogerChern