retinaface model to onnx #15892
Comments
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Hey, this is the MXNet Label Bot. |
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I don't see this issue using MXNet master and ONNX v1.3.0. Which ONNX version are you using? |
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Thanks @Zheweiqiu. I faced this error: |
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Thanks @vandanavk for trying out. I go this error at first. After I googled, according to this answer I replace all "SoftmaxActivation" with "softmax" in the *.json file. Then I got the error stated in the question. Do I need to re-train the model using op "softmax" instead of "SoftmaxActivation"? |
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SoftmaxActivation has an attribute mode. Replacing SoftmaxActivation with softmax may not solve the issue. Equivalent attributes for softmax may have to be mentioned. To start with, along with replacing SoftmaxActivation with softmax in the json, try to remove the attribute mode - softmax operator will use default values for attributes in this case. ONNX export of softmax operator is available |
Retraining with softmax would be the best solution, since SoftmaxActivation has been deprecated. |
I tried remove the attribute mode for softmax operator but got the following error: |
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I meet the same problem. wish to solve asap, thanks for a lot. |
Support for Upsampling operator is currently in review. Operator changes in #15811 and ONNX support in #15994. You could pull in these changes and build locally to try immediately. Else, you could watch out for these 2 PRs getting merged. |
The mxnet was installed using pip command. Do I need to uninstall it and rebuild it from source to reflect those changes? |
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@vandanavk I have changed as your comment #15892 (comment). However I got error |
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@luan1412167 Did you replace SoftmaxActivation with softmax and remove all attribute mode in your .json file? |
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@Zheweiqiu So can you point out result help me? |
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@luan1412167 You should read RetinaFace paper carefully. hah |
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@luan1412167 Your output seems to be feature vector or some intermediate output rather than bounding box. The name of output layer is "output" in mxnet and I dont think its gonna change during model conversion. |
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@Zheweiqiu, @AaronFan1992 `sym = '/home/luandd/Downloads/R50-symbol.json' converted_model_path = onnx_mxnet.export_model(sym, params, [input_shape], np.float32, onnx_file, verbose=False)` |
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@luan1412167 I am using the same script as yours to do the conversion but I am busy with other stuff and dont get time to do the rightness verification of the converted model. |
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@Zheweiqiu can you share me your model? |
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@luan1412167 I am afraid of not. The company is pretty strict about this and I am not allowed to upload anything to cloud nor send any file via email. Sorry about that. |
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@Zheweiqiu thanks you. Can you tell me the architecture output is right? |
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@Zheweiqiu where did you download retinaface mxnet model? |
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Hello everyone I am in a situation of mxnet==1.5.0 and onnx==1.6.0 and want to convert the retinaface mobile-net model to ONNX model. I aslo met the issues mentioned above, including SoftmaxActivation op and UpSampling op. Thanks for above suggestions, I solved these two problems but met a new one which is in Crop op. The Crop node has no 'out_shape' key word. I found a similar issue in #14881, but It's not easy to get specific h-w size in that crop node. Because mxnet Crop op allows to use the name of previous output as the input of present node. There are also some discussions in #9885 but no conclusion. Anyone have some suggestions? Thanks a lot. |
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Finally, I solve the issue depending on cholihao/Retinaface-caffe#4 |
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@Chenyangzh , I aslo met the SoftmaxActivation op and UpSampling op issues，Can you share your solution? thanks you |
Hi can you help me in converting this model into onnx with having a dynamic batch size and input shape? |
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Description
got error exporting retinaface model to onnx. But it worked when I tried insightface model.
Environment info (Required)
----------Python Info----------
Version : 3.7.3
Compiler : GCC 7.3.0
Build : ('default', 'Mar 27 2019 22:11:17')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 19.1.1
Directory : /home/qiuzhewei/anaconda3/lib/python3.7/site-packages/pip
----------MXNet Info-----------
Version : 1.5.0
Directory : /home/qiuzhewei/anaconda3/lib/python3.7/site-packages/mxnet
Commit Hash : 75a9e18
Library : ['/home/qiuzhewei/anaconda3/lib/python3.7/site-packages/mxnet/libmxnet.so']
Build features:
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✔ CPU_SSE
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✖ CPU_SSE4A
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✖ OPENMP
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✖ BLAS_OPEN
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✖ CXX14
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----------System Info----------
Platform : Linux-4.15.0-55-generic-x86_64-with-debian-stretch-sid
system : Linux
node : chaowei-SYS-7048GR-TR
release : 4.15.0-55-generic
version : #60~16.04.2-Ubuntu SMP Thu Jul 4 09:03:09 UTC 2019
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machine : x86_64
processor : x86_64
Architecture: x86_64
CPU 运行模式： 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 12
On-line CPU(s) list: 0-11
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Model name: Intel(R) Xeon(R) CPU E5-2603 v4 @ 1.70GHz
步进： 1
CPU MHz： 1316.511
CPU max MHz: 1700.0000
CPU min MHz: 1200.0000
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虚拟化： VT-x
L1d 缓存： 32K
L1i 缓存： 32K
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NUMA node0 CPU(s): 0-5
NUMA node1 CPU(s): 6-11
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----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0016 sec, LOAD: 1.2854 sec.
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Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0077 sec, LOAD: 2.0701 sec.
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Package used (Python/R/Scala/Julia):
I'm using Python 3.7
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java -version)mvn -version)scala -version)For R user, please provide R
sessionInfo():Build info (Required if built from source)
Compiler (gcc/clang/mingw/visual studio):
MXNet commit hash:
fatal: Not a git repository (or any of the parent directories): .git
Build config:
(Paste the content of config.mk, or the build command.)
Error Message:
[19:34:40] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v1.3.0. Attempting to upgrade...
Traceback (most recent call last):
File "mxnet2onnx.py", line 10, in
converted_model_path = onnx_mxnet.export_model(sym, params, [input_shape], np.float32, onnx_file)
File "/home/qiuzhewei/anaconda3/lib/python3.7/site-packages/mxnet/contrib/onnx/mx2onnx/export_model.py", line 80, in export_model
sym_obj, params_obj = load_module(sym, params)
File "/home/qiuzhewei/anaconda3/lib/python3.7/site-packages/mxnet/contrib/onnx/mx2onnx/_export_helper.py", line 58, in load_module
sym, arg_params, aux_params = mx.model.load_checkpoint(model_name, num_epochs)
File "/home/qiuzhewei/anaconda3/lib/python3.7/site-packages/mxnet/model.py", line 450, in load_checkpoint
symbol = sym.load('%s-symbol.json' % prefix)
File "/home/qiuzhewei/anaconda3/lib/python3.7/site-packages/mxnet/symbol/symbol.py", line 2728, in load
check_call(_LIB.MXSymbolCreateFromFile(c_str(fname), ctypes.byref(handle)))
File "/home/qiuzhewei/anaconda3/lib/python3.7/site-packages/mxnet/base.py", line 253, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: Cannot find argument 'mode', Possible Arguments:
axis : int, optional, default='-1'
The axis along which to compute softmax.
temperature : double or None, optional, default=None
Temperature parameter in softmax
dtype : {None, 'float16', 'float32', 'float64'},optional, default='None'
DType of the output in case this can't be inferred. Defaults to the same as input's dtype if not defined (dtype=None).
, in operator softmax(name="face_rpn_cls_prob_stride32", mode="channel")
Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
I am using the code from http://mxnet.incubator.apache.org/versions/master/tutorials/onnx/export_mxnet_to_onnx.html
Steps to reproduce
(Paste the commands you ran that produced the error.)
1.Just run "python mxnet2onnx.py" where mxnet2onnx.py comes from the website above
2.
What have you tried to solve it?
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