Benchmark:
  name: "Palm Detection Benchmark"
  type: "Detection"
  data:
    path: "benchmark/data/palm_detection"
    files: ["palm1.jpg", "palm2.jpg", "palm3.jpg"]
    sizes: # [[w1, h1], ...], Omit to run at original scale
      - [256, 256]
  metric:
    warmup: 30
    repeat: 10
    reduction: "median"
  backend: "default"
  target: "cpu"

Model:
  name: "MPPalmDet"
  modelPath: "models/palm_detection_mediapipe/palm_detection_mediapipe_2022may.onnx"
  scoreThreshold: 0.5
  nmsThreshold: 0.3
  topK: 1