Closed shadowinlife closed 5 years ago
I get this error: [23:57:33] src/nnvm/legacy_json_util.cc:153: Loading symbol saved by previous version v0.8.0. Attempting to upgrade... [23:57:51] /Users/junyuanx/work/local/mxnet/dmlc-core/include/dmlc/./logging.h:300: [23:57:51] src/operator/./crop-inl.h:117: Check failed: param_.offset[0] <= data_shape[2]-out_shape[2] (34 vs. 33) offset[0] should be less than the residual space of height
seems to be the padding shape issue. @tornadomeet could you update it?
@howard0su
Thanks, Where Can I download compiled 0.8.0 mxnet, and have test on this pre-trained model?
This issue is closed due to lack of activity in the last 90 days. Feel free to reopen if this is still an active issue. Thanks!
Same error here.
I fixed it by change the crop offset of the last crop layer from 34 to 31 (according to the author's caffe github). I am now a little confused with the crop offset.
@apache/mxnet-committers: This issue has been inactive for the past 90 days. It has no label and needs triage.
For general "how-to" questions, our user forum (and Chinese version) is a good place to get help.
Issue not reproducible with MXNet 1.3.1, Python 2.7 and Python 3.6. Verified on DL AMI with Ubuntu.
@shadowinlife Can this issue be closed?
cc @sandeep-krishnamurthy
@vandanavk The original issue started with "Operating System: OS X 10.11.6". But you are testing on ubuntu.
Update: Tested on MacOS 10.12.6, MXNet 1.3.1, Python 2.7.15 too. Segmentation fault not observed.
Executed python2 image_segmentaion.py --input VOC2012/JPEGImages/2007_000027.jpg
@zhreshold thanks :) updated
@sandeep-krishnamurthy Requesting this issue to be closed as the Segmentation Fault is no longer observed.
@shadowinlife Please feel free to reopen if closed in error. Thanks!
For bugs or installation issues, please provide the following information. The more information you provide, the more likely people will be able to help you.
Environment info
Operating System: OS X 10.11.6
Compiler: Default Compile Turtoris
Package used (Python/R/Scala/Julia): Python MXNet version installed from source: 0.9.1 MXNet commit hash (
git rev-parse HEAD
): 5656c8601265a437c1cb7ea18a6f1661f346c8b5Python version and distribution: 2.7.11
Error Message:
Please paste the full error message, including stack trace.
Minimum reproducible example
No just run the example in the source code
Steps to reproduce
Install mxnet with setup in the official document: http://mxnet.io/get_started/osx_setup.html#install-mxnet-for-python
Download image_segementation pre trained model from baidu.yun
FCN8S_VGG16_0019
Run example image_segmentation.py
Segementation fault: 11