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train_yolo3_custom.py run failed.
So I want to know what training command and the version of gluoncv you used ? Did you run successfully about the script?
INFO:root:Start training from [Epoch 0]
epoch 0 , batch 0
infer_shape error. Arguments:
data0: (16, 3, 544, 544)
data4: (16, 18207, 2)
data6: (16, 18207, 80)
data3: (16, 18207, 2)
data1: (16, 33, 4)
data5: (16, 18207, 2)
data2: (16, 18207, 1)
Traceback (most recent call last):
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 805, in _call_cached_op
for is_arg, i in self._cached_op_args]
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 805, in <listcomp>
for is_arg, i in self._cached_op_args]
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/parameter.py", line 494, in data
return self._check_and_get(self._data, ctx)
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/parameter.py", line 208, in _check_and_get
"num_features, etc., for network layers."%(self.name))
mxnet.gluon.parameter.DeferredInitializationError: Parameter 'yolov30_yolooutputv30_conv0_weight' has not been initialized yet because initialization was deferred. Actual initialization happens during the
first forward pass. Please pass one batch of data through the network before accessing Parameters. You can also avoid deferred initialization by specifying in_units, num_features, etc., for network layer
s.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 791, in _deferred_infer_shape
self.infer_shape(*args)
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 864, in infer_shape
self._infer_attrs('infer_shape', 'shape', *args)
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 853, in _infer_attrs
**{i.name: getattr(j, attr) for i, j in zip(inputs, args)})
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/symbol/symbol.py", line 996, in infer_shape
res = self._infer_shape_impl(False, *args, **kwargs)
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/symbol/symbol.py", line 1126, in _infer_shape_impl
ctypes.byref(complete)))
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/base.py", line 251, in check_call
mxnet.base.MXNetError: Error in operator sigmoidbinarycrossentropyloss0_reshape_like0: [14:41:02] src/operator/tensor/elemwise_unary_op_basic.cc:371: Check failed: (*cbegin < *cend) Invalid begin, end, ge
t lhs_begin=None, lhs_end=None
Stack trace returned 10 entries:
[bt] (0) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x37f51a) [0x7f465a37a51a]
[bt] (1) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x37fb51) [0x7f465a37ab51]
[bt] (2) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x197b6d8) [0x7f465b9766d8]
[bt] (3) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x197ba19) [0x7f465b976a19]
[bt] (4) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x197bbbc) [0x7f465b976bbc]
[bt] (5) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x2b41d8a) [0x7f465cb3cd8a]
[bt] (6) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x2b4471c) [0x7f465cb3f71c]
[bt] (7) /home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/libmxnet.so(MXSymbolInferShape+0x15ba) [0x7f465cab35ba]
[bt] (8) /home/peichao/.virtualenvs/py3/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call_unix64+0x4c) [0x7f4678c4be20]
[bt] (9) /home/peichao/.virtualenvs/py3/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call+0x2eb) [0x7f4678c4b88b]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train_yolo3_custom.py", line 374, in <module>
train(net, train_data, val_data, eval_metric, ctx, args)
File "train_yolo3_custom.py", line 273, in train
*[ft[ix] for ft in fixed_targets])
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 542, in __call__
out = self.forward(*args)
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 909, in forward
return self._call_cached_op(x, *args)
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 807, in _call_cached_op
self._deferred_infer_shape(*args)
File "/home/peichao/.virtualenvs/py3/lib/python3.5/site-packages/mxnet/gluon/block.py", line 795, in _deferred_infer_shape
raise ValueError(error_msg)
ValueError: Deferred initialization failed because shape cannot be inferred. Error in operator sigmoidbinarycrossentropyloss0_reshape_like0: [14:41:02] src/operator/tensor/elemwise_unary_op_basic.cc:371:
Check failed: (*cbegin < *cend) Invalid begin, end, get lhs_begin=None, lhs_end=None
博客的链接打不开
我最近才刚用自己的数据集训练了一个yolo v3的detector,过程写在这里,从资料的准备,训练和测试结果皆有。
你好,试了你的Readme的blog链接,打不开,方便重新发下么?谢谢
invalid size of
Hi,
When I try to compile in Qt 5.12 I have below errors:
/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/include/c++/v1/memory:2395:27: error: invalid application of 'sizeof' to an incomplete type 'dlib_tool::face_detector' static_assert(sizeof(_Tp) > 0, "default_delete can not delete incomplete type"); ^~~~~~~~~~~
/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/include/c++/v1/memory:2395:27: error: invalid application of 'sizeof' to an incomplete type 'mxnet_tool::face_key_extractor' static_assert(sizeof(_Tp) > 0, "default_delete can not delete incomplete type"); ^~~~~~~~~~~
lst file
can you tell me the format of the lst file like this 'idx 4 5 classid x,y,w,h,classid x,y,w,h xxx.jpg'? thxs
insightface c++的要怎么运行?
我是在ubuntu下运行insightface的人脸识别,对c++不熟悉,想请问下要怎么运行获取最后的512维向量呢
Example of batch processing mxnet
Hi @stereomatchingkiss ,
Where is the example of batch processing in mxnet. In the face recognition demo, the input image is processed sequentially. Thanks
Ask for sobel.png in marble slab
Hi,
Thank you very much for your software development. I am currently working subtracting background with high noise and interested in your program called marbleslab().
In the program there's sobel.png. Could you please tell me what kind of image that i should attach there.
Thank you
missing loss.loss
The project segmentation is missing the file defining cross_entropy_loss_2d
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