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An fatal error occurred in asynchronous engine operation. If you do not know what caused this error, you can try set environment variable MXNET_ENGINE_TYPE to NaiveEngine and run with debugger (i.e. g…
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xbw@xbw-P65xRP:~/FCIS/fcis$ python demo.py
use mxnet at /home/xbw/mxnet/python/mxnet/__init__.pyc
{'BINARY_THRESH': 0.4,
'CLASS_AGNOSTIC': True,
'MASK_SIZE': 21,
'MXNET_VERSION': 'mxnet',
'S…
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Hi all,
I had quite a bit of trouble getting this working on Windows 10, so wanted to share my setup process for others who may be struggling to get FCIS working. I understand that this isn't real…
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i trained the FCIS on my own dataset,and i want to visualize the feature map.Anyone can tell me how to do it?
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how can I initialize the model param, if I don"t use any pretrained model (resnet101.param & fcis_coco_0000)?
If I don"t initialize param,will be the erro: **conv1_weight not initialized**
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I am compiling my version mxnet on
- Windows 10
- Visual Studio 2015 Community Edition
- python 2.7.12
I have used the source code from https://github.com/apache/incubator-mxnet
and follow the …
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I run demo.py with amazon EC2 instance, a remote computer, the terminal shows me that:
```python demo.py
('use mxnet at', '/home/carnd/mxnet/python/mxnet/__init__.pyc')
{'BINARY_THRESH': 0.4,
'C…
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while read my own data ,i find the problem which the sparse array format is different from python and matlab , i want to know how to make your own dataset .
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Hello, thank you for your great code.
Right now, I am trying to evaluate the performance of your model. Here it the script :
After iterating through the minival5000, the code run into deadlock and …
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Hi,
I am attempting to get the fcis/demo.py code up and running. I have followed the instructions for installation and when I run the demo.py script the test images are oversegmented into 50+ classe…