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Benchmark:
name: "Text Recognition Benchmark"
type: "Recognition"
data:
path: "data/text"
files: ["1.jpg", "2.jpg", "3.jpg"]
metric: # 'sizes' is omitted since this model requires input of fixed size
warmup: 30
repeat: 10
backend: "default"
target: "cpu"
Model:
name: "CRNN"
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