Simplify the Pose Estimation Head

Trim non-critical keypoints if your use case doesn’t require full-body poses:

# Modify the model.yaml (before training/export):
keypoints: 17  # Default COCO keypoints → reduce to 13 (e.g., exclude ears)

Optimize DeepSORT for Pose

Leverage pose embeddings (keypoints) instead of Re-ID for tracking:

tracker = DeepSort(
    max_age=15,
    embedder="pose_based",  # Custom: Use keypoint similarity
    max_cosine_distance=0.4
)

Frame Skipping (Last Resort)

• Process every Nth frame (e.g., 2 out of 3 frames).

  frame_count = 0
  skip_frames = 2  # Process 1 frame every 3
  def process_frame(frame):
      global frame_count
      frame_count += 1
      if frame_count % skip_frames == 0:
          return tracker.update(frame)
      return []