Hi:
I follow the method described in yolov3_onnx sample in TensortRT-5.1.5.0 SDK,install the OnnxTensorRT module,download yolov3.weights from darknet’s site,and type “python yolov3_to_onnx.py” to convert it to onnx format,but the python script report below errors:
Traceback (most recent call last):
File “yolov3_to_onnx.py”, line 812, in
main()
File “yolov3_to_onnx.py”, line 805, in main
onnx.checker.check_model(yolov3_model_def)
File “/usr/local/lib/python2.7/dist-packages/onnx/checker.py”, line 82, in check_model
C.check_model(model.SerializeToString())
onnx.onnx_cpp2py_export.checker.ValidationError: Input size 2 not in range [min=1, max=1].
==> Context: Bad node spec: input: “085_convolutional_lrelu” input: “086_upsample_scale” output: “086_upsample” name: “086_upsample” op_type: “Upsample” attribute { name: “mode” s: “nearest” type: STRING }
I had installed the onnx-tensorrt module,so why upsample & lrelt op is invalid?
below is my system’s “pip list” report:
Package Version
absl-py 0.7.0
appdirs 1.4.3
asn1crypto 0.24.0
astor 0.7.1
atomicwrites 1.3.0
attrs 19.1.0
backports.weakref 1.0.post1
configparser 3.7.4
contextlib2 0.5.5
cryptography 2.1.4
decorator 4.4.0
enum34 1.1.6
funcsigs 1.0.2
futures 3.2.0
gast 0.2.2
graphsurgeon 0.3.2
grpcio 1.19.0
h5py 2.9.0
idna 2.6
importlib-metadata 0.19
ipaddress 1.0.17
Keras-Applications 1.0.7
Keras-Preprocessing 1.0.9
keyring 10.6.0
keyrings.alt 3.0
Mako 1.0.14
Markdown 3.0.1
MarkupSafe 1.1.1
mock 2.0.0
more-itertools 5.0.0
numpy 1.16.4
olefile 0.45.1
onnx 1.2.2
onnx-tensorrt 0.1.0
packaging 19.1
pathlib2 2.3.4
pbr 5.1.3
Pillow 6.1.0
pip 19.2.1
pluggy 0.12.0
protobuf 3.9.0
py 1.8.0
pycrypto 2.6.1
pycuda 2019.1.1
pycurl 7.43.0.1
pygobject 3.26.1
pyliblzma 0.5.3
pyparsing 2.4.2
pysqlite 1.0.1
pytest 4.6.4
pytools 2019.1.1
pyxdg 0.25
rpm 4.14.1
scandir 1.10.0
SecretStorage 2.3.1
setuptools 41.0.1
six 1.12.0
tensorboard 1.13.0
tensorflow-estimator 1.13.0
tensorflow-gpu 1.13.1
tensorrt 5.1.5.0
termcolor 1.1.0
typing 3.7.4
typing-extensions 3.7.4
uff 0.5.5
urlgrabber 3.10.2
wcwidth 0.1.7
Werkzeug 0.14.1
wget 3.2
wheel 0.33.1
yum-metadata-parser 1.1.4
zipp 0.5.2