 will-jl944
|
1a24bb2b37
Merge remote-tracking branch 'origin/develop' into deploy_jf
|
%!s(int64=4) %!d(string=hai) anos |
 FlyingQianMM
|
6dba2ab54e
Merge pull request #1067 from will-jl944/develop_jf
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
05f6c194d0
refine cpp seg deploy postprocess
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
3758a44928
refine cpp seg deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
eb2e2952cc
rcnn models support prediction w/ bs greater than 1
|
%!s(int64=4) %!d(string=hai) anos |
|
FlyingQianMM
|
0baa55fd29
add python deployment docs
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
b3bd512d18
merge develop
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
7f055dc4eb
add warmup for python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
077bc33bbf
add warmup for python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
0bd41d9bb5
add warmup for python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
cdf7496000
deal with comments
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
a1ca94c3a8
add fake batch prediction for rcnn models
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
8df2fcd3ec
support loading exported infer mdoel
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
5daf6c287d
add python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
18415bcabc
add softmax and argmax while exporting models
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
683a44be2b
add python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
d05f2ad919
models can be initilized without building net
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
76cb346e5f
solve conflict
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
8af180a94b
support loading exported infer mdoel
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
cac8f037d0
add python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
5d58390375
add python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
0a0d24aee4
add python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
f1e6494c1c
add softmax and argmax while exporting models
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
b6a5fd6f1d
add python deploy
|
%!s(int64=4) %!d(string=hai) anos |
|
will-jl944
|
dd7d8de2ed
models can be initilized without building net
|
%!s(int64=4) %!d(string=hai) anos |
|
FlyingQianMM
|
ecefcd9c2b
mv dygraph to home directory
|
%!s(int64=4) %!d(string=hai) anos |
|
FlyingQianMM
|
f4fafab700
fix little error
|
%!s(int64=5) %!d(string=hai) anos |
|
FlyingQianMM
|
d3f538340a
fix conflicts
|
%!s(int64=5) %!d(string=hai) anos |
|
FlyingQianMM
|
e47160982d
mv generate_image() to paddlex/tools; yolov3 and maskrcnn support multi-channel input
|
%!s(int64=5) %!d(string=hai) anos |
 jiangjiajun
|
4a350b3db4
add tensorrt support for deploy
|
%!s(int64=5) %!d(string=hai) anos |
