infer_modnet_portrait_matting

This algorithm proposes inference with MODNet a trimap-free portrait matting in real time.

🚀 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.

pip install ikomia

2. Create your workflow

from ikomia.dataprocess.workflow import Workflow
from ikomia.utils.displayIO import display

# Init your workflow
wf = Workflow()    

# Add the p3m process to the workflow
algo = wf.add_task(name="infer_modnet_portrait_matting", auto_connect=True)

# Run workflow on the image
wf.run_on(url="https://images.pexels.com/photos/12508998/pexels-photo-12508998.jpeg")

# Inspect your results
display(algo.get_input(0).get_image())
display(algo.get_output(0).get_image())
display(algo.get_output(1).get_image())

☀️ Use with Ikomia Studio

Ikomia Studio offers a friendly UI with the same features as the API.

• If you haven't started using Ikomia Studio yet, download and install it from this page.

• For additional guidance on getting started with Ikomia Studio, check out this blog post.

📝 Set algorithm parameters

• input_size (int) - default: '800': Size of the input image (stride of 32)
• cuda (bool): If True, CUDA-based inference (GPU). If False, run on CPU.

from ikomia.dataprocess.workflow import Workflow
from ikomia.utils.displayIO import display

# Init your workflow
wf = Workflow()    

# Add the p3m process to the workflow
algo = wf.add_task(name="infer_modnet_portrait_matting", auto_connect=True)

# Set process parameters
algo.set_parameters({
    "input_size" : "800",
    "cuda" : "True"})

# Run workflow on the image
wf.run_on(url="https://images.pexels.com/photos/12508998/pexels-photo-12508998.jpeg")

# Inspect your results
display(algo.get_input(0).get_image())
display(algo.get_output(0).get_image())
display(algo.get_output(1).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_modnet_portrait_matting", auto_connect=True)

# Run on your image  
wf.run_on(url="https://images.pexels.com/photos/12508998/pexels-photo-12508998.jpeg")

# Iterate over outputs
for output in algo.get_outputs():
    # Print information
    print(output)
    # Export it to JSON
    output.to_json()