Phase 4: Vision Transformers · ~45 minutes · Python
Keypoint Detection & Pose Estimation
A pose is a set of ordered keypoints. A keypoint detector is a heatmap regressor. Everything else is bookkeeping.
Hiring signal: Understanding of keypoint detection & pose estimation internals
What you will learn
- Distinguish top-down and bottom-up pose estimation and state when each is used
- Regress heatmaps for K keypoints with a Gaussian-per-keypoint target and extract keypoint coordinates at inference
- Explain Part Affinity Fields (PAFs) and how bottom-up pipelines associate keypoints into instances
- Use MediaPipe Pose or MMPose for production keypoint estimation and understand their output format
Introduction
Type: Build Languages: Python Prerequisites: Phase 4 Lesson 06 (Detection), Phase 4 Lesson 07 (U-Net) Time: ~45 minutes
Learning Objectives
- Distinguish top-down and bottom-up pose estimation and state when each is used
- Regress heatmaps for K keypoints with a Gaussian-per-keypoint target and extract keypoint coordinates at inference
- Explain Part Affinity Fields (PAFs) and how bottom-up pipelines associate keypoints into instances
- Use MediaPipe Pose or MMPose for production keypoint estimation and understand their output format
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