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Updated Open in Colab
Visualize object detections
Draw bounding boxes on images to visualize object detection results.
Images · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
How it works
You create a pipeline that detects objects and then draws the results on the original image.
What it covers
- Run object detection with YOLOX
- Draw bounding boxes on images
- Color-code by object class
What it uses
- Install
- terminalpip install pixeltable pixeltable-yolox
- Pixeltable calls
yolox.yolox()vision.bboxes_draw()pxt.create_table()add_computed_column()insert()
A look at the code
img-visualize-detections.ipynb
# Step 1: Run object detectionimages.add_computed_column(detections=yolox(images.image, model_id='yolox_m', threshold=0.5))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
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