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zbxzc35 jdc08161063 jpzimmer hxkwindwizard segmentationorg tgithubj dozyc baileyqbb zwlshine stopless-k c0710204 yougoforward melody-rain huangpu1 wushaoxuan5 amirunpri2018 singaloo iq-scmtensorflow-pspnet's Issues
the training loss value using your pre-trained model
hi,
@pudae , what is your last loss value when the iou value = 0.346 in the val datasets?
Is this PSPNet(hszhao)'s paper reimplemented? How about the evaluation result?
how to use your code?
hello, how to use your code? can you provide some introduction?
thank you very much~
No such file or directory: './train/skynet_v1_50_graph.pb'
Hello. @pudae
I downloaded the file(pspnet_v1_50_miou_0_349.zip) you provided.
and then, I run test_model.py.
but like this error:
$ python test_model.py
2017-08-11 01:28:50.432318: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-11 01:28:50.432383: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-11 01:28:50.432435: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-08-11 01:28:50.961497: E tensorflow/stream_executor/cuda/cuda_driver.cc:405] failed call to cuInit: CUDA_ERROR_NO_DEVICE
2017-08-11 01:28:50.961770: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: ip-172-31-31-194
2017-08-11 01:28:50.961883: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: ip-172-31-31-194
2017-08-11 01:28:50.962149: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 375.66.0
2017-08-11 01:28:50.962330: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:369] driver version file contents: """NVRM version: NVIDIA UNIX x86_64 Kernel Module 375.66 Mon May 1 15:29:16 PDT 2017
GCC version: gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.4)
"""
2017-08-11 01:28:50.962590: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: 375.66.0
2017-08-11 01:28:50.962697: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:300] kernel version seems to match DSO: 375.66.0
Traceback (most recent call last):
File "test_model.py", line 60, in <module>
tf.app.run()
File "/home/ubuntu/anaconda3/envs/heidi_env2/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "test_model.py", line 30, in main
with open('./train/skynet_v1_50_graph.pb', 'rb') as file:
FileNotFoundError: [Errno 2] No such file or directory: './train/skynet_v1_50_graph.pb'
thanks!
the pspnet_v1_50.ckpt file?
Just found this awesome project.
Would you mind releasing the pspnet_v1_50.ckpt file?
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