Add Keypoint and Instance Segmentation support in visualizer #261
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- Introduced Keypoint primitive for visualizing keypoints on images. - Updated visualizer to handle Instance Segmentation results and added corresponding scene. - Refactored existing scenes to integrate new functionalities, including KeypointScene and InstanceSegmentationScene. - Enhanced Polygon primitive with opacity and outline width options. - Updated tests to cover new features and ensure functionality. This commit enhances the visualizer's capabilities for handling keypoints and instance segmentation, improving the overall visualization experience.
sovrasov
reviewed
Jan 27, 2025
Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>
Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>
sovrasov
approved these changes
Jan 27, 2025
samet-akcay
reviewed
Jan 31, 2025
| layout=layout, | ||
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| def _get_keypoints(self, result: DetectedKeypoints) -> list[Keypoint]: |
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@ashwinvaidya17, would it be an idea to use predictions instead of results? What is results object? A prediction? Or something else?
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This commit enhances the visualizer's capabilities for handling keypoints and instance segmentation, improving the overall visualization experience.
What does this PR do?
MaskRCNN with XAI Head
RTM Pose
Fixes # (issue)
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