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GeorgeSeif
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Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
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I changed model input logits shape as (64,128,128,1) , labels shape as (64,128,128,1) for binary classify ( I do not want to use one hot label ),which loss function will work? I used tf.nn.sigmoid_crossentropy_with_logits() but did not work,refer to tensorflow document which explain logits has same shape to labels ,I am wrong? and your lovazs loss not work for refinenet resnet50 binary classify( I didnt try other model)
#98
liuchuanloong
closed
6 years ago
7
predict.py example
#97
SerinaWei
closed
6 years ago
2
something wrong when generate an image
#96
1453042287
closed
6 years ago
2
test.py
#95
kazu82018303
closed
6 years ago
0
Incompatible shapes: [2,46,80,256] vs. [2,45,80,256]
#94
1453042287
closed
6 years ago
3
Update test.py
#93
1453042287
closed
6 years ago
1
Training is not stable for custom dataset using DeepLabV3+ model
#92
sayanmandal
closed
6 years ago
1
What should I do to extract good results?
#91
zmqp111
closed
6 years ago
3
InceptionV4 model failed
#90
Spritea
closed
6 years ago
2
Am I doing something wrong? Current_Loss = 0.0000
#89
chrisrapson
closed
6 years ago
24
No module named 'nasnet'
#88
Computational-Camera
closed
6 years ago
1
Using Gray-scale images as input of semantic segmentation master suit
#87
aminaria
closed
6 years ago
1
"Good" Mean IoU, Almost Black Prediction Masks
#86
ghost
closed
6 years ago
0
Fixed pool_scale typo FRRN-B
#85
arasharchor
closed
6 years ago
0
Fixing --help and improving an error message
#84
dcdolson
closed
6 years ago
1
-215 Assertion failed
#83
Take22
closed
6 years ago
4
How to run or add eval script?'
#82
revikiran1991
closed
6 years ago
2
[potential Bug] error in training FRRN-B
#81
arasharchor
closed
6 years ago
2
When using class balance
#80
yejg2017
closed
6 years ago
8
Suggestion: saving models as graph.pb
#79
robertomoreu
closed
6 years ago
3
"," in val_scores.csv
#78
DaielChom
closed
6 years ago
1
Could you add some information about data augmentation in the readme?
#77
andreruas
closed
6 years ago
4
Exception due to variable reuse
#76
Nosferath
closed
6 years ago
1
Error in reproduce CamVid results
#75
arasharchor
closed
6 years ago
4
fixed --class_balancing
#74
arasharchor
closed
6 years ago
0
fixed --class_balancing
#73
arasharchor
closed
6 years ago
0
Create LICENSE
#72
GeorgeSeif
closed
6 years ago
0
using recent Pretrained models
#71
arasharchor
closed
6 years ago
7
fix the problem for --class_balancing
#70
arasharchor
closed
6 years ago
0
resolving problem with INTER_NEAREST
#69
arasharchor
closed
6 years ago
0
Incompatible shapes: [1,512,512] vs. [2] in binary problem after activating --class_balancing
#68
arasharchor
closed
6 years ago
14
train_op
#67
aaalgo
closed
6 years ago
1
DeepLabv3_plus issue with the type of size=feature_map_shape
#66
sanja7s
closed
6 years ago
1
Test and Validation not clear
#65
sanja7s
closed
6 years ago
2
pre-model
#64
enokazu
closed
6 years ago
1
Help finding output node for creating frozen graph
#63
ablacklama
closed
6 years ago
10
Feature request: Export to CoreML
#62
legel
closed
6 years ago
0
Training error, Tensor conversion
#61
ablacklama
closed
6 years ago
6
Citing (crediting) this repo
#60
sanja7s
closed
6 years ago
1
Error with image size
#59
bruno-krinski
closed
6 years ago
2
Modified the picture size, but the result is not good
#58
littlelingna
closed
6 years ago
5
Trained parameters for all models
#57
zengzhi2015
closed
6 years ago
1
How can I train these models using TFRecord?
#56
che006
closed
6 years ago
1
How to use your own pre-training
#55
enomto
closed
6 years ago
6
There is something I'd like you to tell me not an issue.
#54
enomto
closed
6 years ago
1
TypeError: Expected binary or unicode string, got <built-in function input>
#53
alansalinas
closed
6 years ago
9
Training loss begins at 0 and stuck on it
#52
calicratis19
closed
6 years ago
10
pre-training
#51
enomto
closed
6 years ago
1
Evaluation including precision, recall, f1 score, average accuracy, per-class accuracy, and mean IoU
#50
enomto
closed
6 years ago
1
Checkpoints for the models we run
#49
sanja7s
closed
6 years ago
1
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