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Benchmark:
name: "License Plate Detection Benchmark"
type: "Detection"
data:
path: "benchmark/data/license_plate_detection"
files: ["1.jpg", "2.jpg", "3.jpg", "4.jpg"]
sizes: # [[w1, h1], ...], Omit to run at original scale
- [320, 240]
metric:
warmup: 30
repeat: 10
reduction: "median"
backend: "default"
target: "cpu"
Model:
name: "LPD_YuNet"
modelPath: "models/license_plate_detection_yunet/license_plate_detection_lpd_yunet_2022may.onnx"
confThreshold: 0.8
nmsThreshold: 0.3
topK: 5000
keepTopK: 750
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