The colorization-v2
model is one of the colorization
group of models designed to perform image colorization. For details
about this family of models, check out the repository.
Model consumes as input L-channel of LAB-image. Model give as output predict A- and B-channels of LAB-image.
Metric | Value |
---|---|
Type | Colorization |
GFLOPs | - |
MParams | - |
Source framework | Caffe* |
The accuracy metrics calculated on ImageNet validation dataset using VGG16 caffe model and colorization as preprocessing.
For preprocessing rgb -> gray -> coloriaztion
recieved values:
Metric | Value with preprocessing | Value without preprocessing |
---|---|---|
Accuracy top-1 | 55.39% | 70.96% |
Accuracy top-5 | 79.21% | 89.88% |
Image, name - data_l
, shape - 1,1,224,224
, format is B,C,H,W
where:
B
- batch sizeC
- channelH
- heightW
- width
Channel order is L-channel. Mean values - 50.
Image, name - data_l
, shape - 1,1,224,224
, format is B,C,H,W
where:
B
- batch sizeC
- channelH
- heightW
- width
Channel order is L-channel.
Image, name - class8_ab
*, shape - 1,2,56,56
, format is B,C,H,W
where:
B
- batch sizeC
- channelH
- heightW
- width
Image, name - class8_313_rh
*, shape - 1,313,56,56
, format is B,C,H,W
where:
B
- batch sizeC
- channelH
- heightW
- width
NOTE:
class8_313_rh
layer is in front ofclass8_ab
layer, in order for network to work, you need to reproduceclass8_ab
layer with the coefficients that downloaded separately with the model. More detailed information can be found this.
The original model is distributed under the following license:
Copyright (c) 2016, Richard Zhang, Phillip Isola, Alexei A. Efros
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
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