infer_detectron2_deeplabv3plus

Run DeepLabv3+ inference model of Detectron2 for semantic segmentation.

🚀 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 algorithm
algo = wf.add_task(name="infer_detectron2_deeplabv3plus", auto_connect=True)

# Run on your image  
wf.run_on(url="https://production-media.paperswithcode.com/datasets/Foggy_Cityscapes-0000003414-fb7dc023.jpg")

# Inpect your result
display(algo.get_image_with_mask())

☀️ 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

• dataset (str) - Default 'Cityscapes': Use model trained on the Cityscapes dataset. Use "Custom" if using a custom model.
• config_file (str, optional): Path to the .yaml config file.
• model_weight_file (str, optional): Path to model weights file .pth.

Parameters should be in strings format when added to the dictionary.

from ikomia.dataprocess.workflow import Workflow

# Init your workflow
wf = Workflow()

# Add algorithm
algo = wf.add_task(name="infer_detectron2_deeplabv3plus", auto_connect=True)

algo.set_parameters({"dataset": "Cityscapes"})

# Run on your image  
wf.run_on(url="https://production-media.paperswithcode.com/datasets/Foggy_Cityscapes-0000003414-fb7dc023.jpg")

# Inpect your result
display(algo.get_image_with_mask())

🔍 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.

from ikomia.dataprocess.workflow import Workflow

# Init your workflow
wf = Workflow()

# Add algorithm
algo = wf.add_task(name="infer_detectron2_deeplabv3plus", auto_connect=True)

# Run on your image  
wf.run_on(url="https://production-media.paperswithcode.com/datasets/Foggy_Cityscapes-0000003414-fb7dc023.jpg")

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