| Benchmark: | |
| name: "Text Detection Benchmark" | |
| data: | |
| path: "benchmark/data/text" | |
| files: ["1.jpg", "2.jpg", "3.jpg"] | |
| metric: | |
| sizes: # [[w1, h1], ...], Omit to run at original scale | |
| - [640, 480] | |
| warmup: 3 | |
| repeat: 10 | |
| batchSize: 1 | |
| reduction: 'median' | |
| backend: "default" | |
| target: "cpu" | |
| Model: | |
| name: "DB" | |
| modelPath: "models/text_detection_db/text_detection_db.onnx" | |
| binaryThreshold: 0.3 | |
| polygonThreshold: 0.5 | |
| maxCandidates: 200 | |
| unclipRatio: 2.0 |