 FlyingQianMM
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1df905b8ee
fix some wrong links in docs
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%!s(int64=4) %!d(string=hai) anos |
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FlyingQianMM
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92034f01e2
fix some wrong links in docs
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%!s(int64=4) %!d(string=hai) anos |
 will-jl944
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353aa81884
init attribute downsample_ratios regardless whether net is initialized or not
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%!s(int64=4) %!d(string=hai) anos |
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FlyingQianMM
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6dba2ab54e
Merge pull request #1067 from will-jl944/develop_jf
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%!s(int64=4) %!d(string=hai) anos |
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FlyingQianMM
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ca8f5b9cc2
fix input shape when exporting ppyolo serials
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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eb2e2952cc
rcnn models support prediction w/ bs greater than 1
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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b3bd512d18
merge develop
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%!s(int64=4) %!d(string=hai) anos |
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FlyingQianMM
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90aacf1efe
Merge pull request #1049 from will-jl944/deploy_jf
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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a1ca94c3a8
add fake batch prediction for rcnn models
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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031992d6f6
disable training for exported inference model
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%!s(int64=4) %!d(string=hai) anos |
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FlyingQianMM
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78f064d6ec
set image_shape from test_transforms when do not set fixed_input_shape (#1052)
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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683a44be2b
add python deploy
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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d05f2ad919
models can be initilized without building net
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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b6a5fd6f1d
add python deploy
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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dd7d8de2ed
models can be initilized without building net
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%!s(int64=4) %!d(string=hai) anos |
 何秦
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8d4e3214dc
fix the backbone message
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%!s(int64=4) %!d(string=hai) anos |
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will-jl944
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d7e7f72979
fix ppyolor18vd downsample ratio bug
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%!s(int64=4) %!d(string=hai) anos |
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FlyingQianMM
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ecefcd9c2b
mv dygraph to home directory
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%!s(int64=4) %!d(string=hai) anos |
