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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
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