Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

The RGB of predict result is always (255, 255, 255) #1

Open
chungfu27 opened this issue Dec 24, 2016 · 0 comments
Open

The RGB of predict result is always (255, 255, 255) #1

chungfu27 opened this issue Dec 24, 2016 · 0 comments

Comments

@chungfu27
Copy link

Hi k3nt0w,
I use your FCN to do semantic image segmentation.
After I train FCN and run predict.py (visualize(predict("2011_003151", "FCN"), "2011_003151")), the result image is always blank.
I have no idea about this result.
Could you have any suggestion?

There is my training result:
python train.py
Using Theano backend.
Epoch 1/20
20/20 [==============================] - 47s - loss: 3.0276 - acc: 0.4169
Epoch 2/20
20/20 [==============================] - 45s - loss: 1.8475 - acc: 0.7483
Epoch 3/20
20/20 [==============================] - 61s - loss: 2.1842 - acc: 0.6822
Epoch 4/20
20/20 [==============================] - 55s - loss: 1.6089 - acc: 0.7439
Epoch 5/20
20/20 [==============================] - 50s - loss: 1.4220 - acc: 0.7532
Epoch 6/20
20/20 [==============================] - 46s - loss: 1.8194 - acc: 0.6313
Epoch 7/20
20/20 [==============================] - 45s - loss: 1.2417 - acc: 0.7648
Epoch 8/20
20/20 [==============================] - 46s - loss: 1.2862 - acc: 0.7911
Epoch 9/20
20/20 [==============================] - 45s - loss: 1.4306 - acc: 0.7102
Epoch 10/20
20/20 [==============================] - 45s - loss: 1.1640 - acc: 0.8106
Epoch 11/20
20/20 [==============================] - 45s - loss: 1.7805 - acc: 0.6463
Epoch 12/20
20/20 [==============================] - 46s - loss: 1.4626 - acc: 0.7167
Epoch 13/20
20/20 [==============================] - 45s - loss: 0.9658 - acc: 0.8034
Epoch 14/20
20/20 [==============================] - 45s - loss: 1.4806 - acc: 0.7155
Epoch 15/20
20/20 [==============================] - 46s - loss: 1.1805 - acc: 0.8013
Epoch 16/20
20/20 [==============================] - 46s - loss: 1.3589 - acc: 0.7372
Epoch 17/20
20/20 [==============================] - 51s - loss: 1.3243 - acc: 0.7290
Epoch 18/20
20/20 [==============================] - 52s - loss: 1.1608 - acc: 0.7704
Epoch 19/20
20/20 [==============================] - 51s - loss: 1.2211 - acc: 0.7372
Epoch 20/20
20/20 [==============================] - 47s - loss: 0.8725 - acc: 0.7926

Regards,
chungfu27

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant