colorization-v2

Use Case and High-Level Description

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.

Example

Specification

Metric Value
Type Colorization
GFLOPs -
MParams -
Source framework Caffe*

Accuracy

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%

Performance

Input

Original model

Image, name - data_l, shape - 1,1,224,224, format is B,C,H,W where:

Channel order is L-channel. Mean values - 50.

Converted model

Image, name - data_l, shape - 1,1,224,224, format is B,C,H,W where:

Channel order is L-channel.

Output

Original model

Image, name - class8_ab*, shape - 1,2,56,56, format is B,C,H,W where:

Converted model

Image, name - class8_313_rh*, shape - 1,313,56,56, format is B,C,H,W where:

NOTE: class8_313_rh layer is in front of class8_ab layer,

in order for network to work, you need to reproduce class8_ab layer with the coefficients that downloaded separately with the model. More detailed information can be found >this.

Legal Information

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.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.