colorization | Automatic colorization using deep neural networks | Machine Learning library

 by   richzhang Python Version: Current License: BSD-2-Clause

kandi X-RAY | colorization Summary

kandi X-RAY | colorization Summary

colorization is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. colorization has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Richard Zhang, Phillip Isola, Alexei A. Efros. In ECCV, 2016. [Sept20 Update] Since it has been 3-4 years, I converted this repo to support minimal test-time usage in PyTorch. I also added our SIGGRAPH 2017 (it's an interactive method but can also do automatic). See the Caffe branch for the original release. Colorize! This script will colorize an image. The results should match the images in the imgs_out folder. Model loading in Python The following loads pretrained colorizers. See demo_release.py for some details on how to run the model. There are some pre and post-processing steps: convert to Lab space, resize to 256x256, colorize, and concatenate to the original full resolution, and convert to RGB.
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            kandi-support Support

              colorization has a medium active ecosystem.
              It has 3142 star(s) with 879 fork(s). There are 116 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 45 open issues and 48 have been closed. On average issues are closed in 188 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of colorization is current.

            kandi-Quality Quality

              colorization has 0 bugs and 0 code smells.

            kandi-Security Security

              colorization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              colorization code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              colorization is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              colorization releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed colorization and discovered the below as its top functions. This is intended to give you an instant insight into colorization implemented functionality, and help decide if they suit your requirements.
            • Forward convolution
            • Normalize AB
            • Normalize l
            • Unnormalize ab
            • Preprocess the image
            • Resize an image
            • Convert input tensors to RGB
            • Performs the forward computation
            • Generate a SIGGR graph
            • Generate an ECCVV16
            • Load an image file
            Get all kandi verified functions for this library.

            colorization Key Features

            No Key Features are available at this moment for colorization.

            colorization Examples and Code Snippets

            copy iconCopy
            ├── dataset
            │   └── Coco
            │   └── Imagenet
            ├── checkpoints
            │   └── 02_22_13_48
            │   └── 02_25_15_33
            │   └── siggraph_latest_net_G.pth
            │   └── update_siggraph.pth
            ├── logs
            ├── options
            │   └──base_options.py
            │   └──train_options.py
            ├── models
            │   └── net  
            copy iconCopy
                relu1_2  = image_net["relu1_2"]
                layer_relu1_2 = tf.image.resize_bilinear(relu1_2, (IMAGE_SIZE, IMAGE_SIZE)) 
            
                relu2_1  = image_net["relu2_1"]
                layer_relu2_1 = tf.image.resize_bilinear(relu2_1, (IMAGE_SIZE, IMAGE_SIZE)) 
                
                relu2_  
            Simple Colorization,Command Line Tools
            Pythondot img3Lines of Code : 32dot img3License : Permissive (MIT)
            copy iconCopy
            $ ml color colorize --interactive image_07_bw.png
            image_07_bw.png,image_07_bw_color.png
            
            $ ml color colorize image_07_bw.png |
              cut -d, -f2 |
              xarg display
            
            $ ml color colorize ~/.mlhub/colorize/images
            /home/gjw/.mlhub/colorize/images/image_01_bw.p  
            PaddleHub - train-colorization
            Pythondot img4Lines of Code : 20dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            import paddle
            import paddlehub as hub
            import paddlehub.vision.transforms as T
            from paddlehub.finetune.trainer import Trainer
            from paddlehub.datasets import Canvas
            
            if __name__ == '__main__':
            
                transform = T.Compose(
                    [T.Resize((256, 256), i  
            PaddleHub - predict-colorization
            Pythondot img5Lines of Code : 6dot img5License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            import paddle
            import paddlehub as hub
            
            if __name__ == '__main__':
                model = hub.Module(name='user_guided_colorization', load_checkpoint='/PATH/TO/CHECKPOINT')
                model.set_config(prob=0.1)
                result = model.predict(images=['house.png'])
              

            Community Discussions

            QUESTION

            Enable use of images from the local library on Kubernetes
            Asked 2022-Mar-20 at 13:23

            I'm following a tutorial https://docs.openfaas.com/tutorials/first-python-function/,

            currently, I have the right image

            ...

            ANSWER

            Answered 2022-Mar-16 at 08:10

            If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

            Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:

            Source https://stackoverflow.com/questions/71493306

            QUESTION

            Visual Studio Code: Theme One Monokai: Change / Custom Highlight Color for C/C++ `const`
            Asked 2022-Mar-17 at 15:49

            I am using the (amazing) One Monokai theme in visual studio code. One thing that bothers me is that variable modifers like const and control flow like for, if, while, ... are displayed using the same color. Based on this tutorial, I tried a custom coloring by adding to settigs.json:

            ...

            ANSWER

            Answered 2022-Mar-17 at 15:49

            With the comment pushing me into the right direction and this tutorial, the working code is

            Source https://stackoverflow.com/questions/71513265

            QUESTION

            How to create syntax highlighting rule
            Asked 2022-Jan-28 at 08:43

            I'm trying out monaco editor and I'm having real difficulty understanding how to create my own rule for syntax highlighting. (I'd really appreciate it if you had a resource that explains how to create rules)

            I'm starting with the simple stuff:

            • I'd like to add a special color for my variable at declaration. ie: a = 12, having color on a
            • Add a special color for builtins functions. ie: builtin(a, b), having color on builtin

            I'm using https://microsoft.github.io/monaco-editor/monarch.html to try the rule in real-time here is my syntax definition

            ...

            ANSWER

            Answered 2022-Jan-28 at 08:43

            If I understand you correctly then you cannot do what you want with a syntax highlighter. What you want is semantic highlighting.

            Syntax is about the structure of a language. It determines what is an identifier, what is a number, a string etc.

            Semantic gives meaning to things, for instance which identifier is a variable, which is a class name or another type etc.

            Monarch is a declarative tokenizer, a tool that assigns token values to specific parts of text. How to find which part of the text gets which token value is declared in the tokenizer field.

            But you cannot find semantic from syntax rules. Instead you would have to parse the input and decide from the parse tree/syntax tree which role a symbol plays in the input.

            Source https://stackoverflow.com/questions/70623755

            QUESTION

            How to colorize lands which have missing values and get their name in plotly choropleth? Add extra values ​in the matchbox? Animate the plot by year?
            Asked 2022-Jan-26 at 17:03

            I made a world map with specific data using choropleth from plotly. For some countries I have missing values ​​and this gives me uncolored areas and especially without being able to identify them.

            Edit: I found how to colorize the countries with missing values ​​by adding this in the "geo=dict()" of "update_layout":

            ...

            ANSWER

            Answered 2022-Jan-26 at 17:03

            There are multiple questions

            1. how to color missing countries?
            2. how to have hover text on missing countries?
            3. how to animate years?
            4. how to display other columns in hover?
            • start by using plotly express It's a simpler to use interface

            • simple case of using animation_frame for animation. Answers 3.

            • use hover_data to answer 4.

            • https://plotly.com/python/map-configuration/#physical-base-maps states that countries are from natural earth. A simple way to get this is is use geopandas

              • for each animation frame check which countries are missing and add an additional trace. Answers 1.
              • this trace contains information for answer 2.
            • one strange thing I encountered was need to recreate the figure as final step using go

            Source https://stackoverflow.com/questions/70773315

            QUESTION

            How to replace "scopeLineCSS" from "Bracket Pair Colorizer 2" with native vsc configuration?
            Asked 2021-Dec-15 at 08:15

            With "Bracket Pair Colorizer 2", we can give a custom line between a bracket pair, one configuration is like following:

            ...

            ANSWER

            Answered 2021-Dec-15 at 08:15

            The answer to this question is in the question itself.)

            Source https://stackoverflow.com/questions/70357977

            QUESTION

            Customize tables using Matplotlib - colorization and fonts
            Asked 2021-Nov-29 at 13:13

            I want to use Matplotlib to create tables to be exported to a pdf.

            I struggle with the following.

            1. To in a automated fashion create a list of list for the colorization of the cells. The first columns should be white, the second green, and so on.

            2. To set an alpha value for rows I color with green, to increase transparancy.

            ...

            ANSWER

            Answered 2021-Nov-29 at 13:13

            The easiest way to do this is to convert the green color you are specifying to RGBA format and specify the transparency.

            Source https://stackoverflow.com/questions/70152645

            QUESTION

            RuntimeError due to inplace operation in GAN generator architecture with skip connections
            Asked 2021-Nov-25 at 06:47

            I get the following error for a GAN model I am using to perform image colorization. It uses the LAB color space as is common in image colorization. The generator generates the a ad b channels for a given L channel. The discriminator is fed all three channels after concatenation.

            RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [64, 64, 128, 128]], which is output 0 of ReluBackward0, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

            I believe the error is due to the skip connections but I cannot quite put my finger on it. Any help would be appreciated!

            Here is the model:

            ...

            ANSWER

            Answered 2021-Nov-21 at 09:32

            Maybe try to use the output of the layers directly for the skip connections, like this:

            Source https://stackoverflow.com/questions/70051776

            QUESTION

            How to retain changes across app modes in a streamlit program?
            Asked 2021-Nov-12 at 14:09

            Here's the code:

            ...

            ANSWER

            Answered 2021-Nov-12 at 14:09

            You should use the session state to save this type of information - https://docs.streamlit.io/library/api-reference/session-state

            You can think of it as a dictionary that is not lost on page reload.

            For your case writing something like

            Source https://stackoverflow.com/questions/69938279

            QUESTION

            Jupyter notebook in VS Code - No color for the python code in ipynb-file. What am i doing wrong?
            Asked 2021-Nov-02 at 06:24

            Code of .ipynb file:

            Python is detected:

            The code has color in jupyter notebook:

            I tried setting up a jupyter notebook in vs code in an anaconda environment. I have tried - Python: Select interpreter and selected my anaconda environment. Made sure python is in the environment: python --version: Python 3.8.8. Tried clicking on CVE(in the bottom right corner) to change to python (picture 2). The colorization of the code works fine in the interactive window of jupyter notebook (picture 3).

            ...

            ANSWER

            Answered 2021-Nov-02 at 06:24

            Jupyter extension detects your code as CVE instead of Python so Python syntax highlighting is not applied successfully.

            Refer to Jupyter in vscode can't execute syntax highlighting, the Dependency Analytics extension should be the reason. Remove or Disable it then reload window, the question should go away.

            Source https://stackoverflow.com/questions/69802585

            QUESTION

            Enabling bracket colorization in Monaco editor
            Asked 2021-Oct-19 at 13:42

            How do I enable bracket pairs colorizations in Monaco editor version 0.28.1

            I'm able to create a working editor with the following code, but brackets are not colorized.

            ...

            ANSWER

            Answered 2021-Oct-19 at 13:42

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install colorization

            You can download it from GitHub.
            You can use colorization like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone richzhang/colorization

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