Comments (3)
Can you make sure that the path to the model is correct? The code does not raise an error if the model file doesn't exist.
from frrn.
yes the model path was wrong. The segmentation works, thank you.
But why is the plotted image of the input still black?
from frrn.
I'm not entirely sure. The image is a [0, 1] normalized floating point image. Maybe your installed version of OpenCV can't handle floating point images (I tested with OpenCV 3.x).
from frrn.
Related Issues (20)
- Error running predict_frrn_a.py with the prerequisites mentioned in README HOT 1
- what is the point of chinati library? HOT 1
- Runnin predict without cityscape HOT 7
- Dependency Version Requirements? HOT 1
- training batch size HOT 1
- Error Running predict on cityscapes with python 2.7 HOT 2
- The questions about prediction HOT 1
- init model HOT 2
- Chianti TypeError in train.py l264 HOT 2
- Dimensionality reduction before last RU's
- train with smaller image resolution
- Trying to evaluation with non cityscape image HOT 2
- ERROR Cannot create cuDNN spatial log softmax. HOT 1
- Adding in associative memory to the network structure
- Getting from cudnn HOT 1
- Predict on own image
- cuDNN spatial log softmax and Chianti C++ library HOT 3
- predict error: IndexError
- Theano and Lasagne version
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