pip install ikomia
About
1.2.0
BSD-2-Clause
Automatic colorization of grayscale image based on neural network.
This algorithm enables the colorization of grayscale images using neural networks.
🚀 Use with Ikomia API
1. Install Ikomia API
We strongly recommend using a virtual environment. If you're not sure where to start, we offer a tutorial here.
2. Create your workflow
from ikomia.dataprocess.workflow import Workflow
from ikomia.utils.displayIO import display
# Init your workflow
wf = Workflow()
# Add algorithm
algo = wf.add_task(name="infer_colorful_image_colorization", auto_connect=True)
# Run on your image
wf.run_on(url="https://github.com/sczhou/CodeFormer/blob/master/inputs/gray_faces/Hepburn02.png?raw=true")
display(algo.get_input(0).get_image())
display(algo.get_output(0).get_image())
☀️ Use with Ikomia Studio
Ikomia Studio offers a friendly UI with the same features as the API.
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If you haven't started using Ikomia Studio yet, download and install it from this page.
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For additional guidance on getting started with Ikomia Studio, check out this blog post.
📝 Set algorithm parameters
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backend (str) – default 'Default': Select run backend: "Default", Halide", "Inference engine", "OpenCV", "VKCOM", "CUDA".
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target (str) – default 'CPU': Select run target "CPU", "OpenCL FP32", "OpenCL FP16", "MYRIAD", "VULKAN", "FPGA", "CUDA FP32", "CUDA FP16".
from ikomia.dataprocess.workflow import Workflow
from ikomia.utils.displayIO import display
# Init your workflow
wf = Workflow()
# Add algorithm
algo = wf.add_task(name="infer_colorful_image_colorization", auto_connect=True)
algo.set_parameters({
"backend": "Default",
"target": "CPU",
})
# Run on your image
wf.run_on(url="https://github.com/sczhou/CodeFormer/blob/master/inputs/gray_faces/Hepburn02.png?raw=true")
# Inspect your results
display(algo.get_input(0).get_image())
display(algo.get_output(0).get_image())
🔍 Explore algorithm outputs
Every algorithm produces specific outputs, yet they can be explored them the same way using the Ikomia API. For a more in-depth understanding of managing algorithm outputs, please refer to the documentation.
import ikomia
from ikomia.dataprocess.workflow import Workflow
# Init your workflow
wf = Workflow()
# Add algorithm
algo = wf.add_task(name="infer_colorful_image_colorization", auto_connect=True)
# Run on your image
wf.run_on(url="https://github.com/sczhou/CodeFormer/blob/master/inputs/gray_faces/Hepburn02.png?raw=true")
# Iterate over outputs
for output in algo.get_outputs():
# Print information
print(output)
# Export it to JSON
output.to_json()
Developer
Ikomia
License
BSD 2-Clause "Simplified" License
A permissive license that comes in two variants, the BSD 2-Clause and BSD 3-Clause. Both have very minute differences to the MIT license.
| Permissions | Conditions | Limitations |
|---|---|---|
Commercial use | License and copyright notice | Liability |
Modification | Warranty | |
Distribution | ||
Private use |
This is not legal advice: this description is for informational purposes only and does not constitute the license itself. Provided by choosealicense.com.