56 lines
1.9 KiB
Dart
56 lines
1.9 KiB
Dart
import 'package:observer/detection/detection_result.dart';
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import 'package:observer/detection/detector_worker.dart';
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import 'package:flutter_test/flutter_test.dart';
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DetectionResult box(String label, double score, double x, double y,
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{int modelId = -1, String modelName = ''}) =>
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DetectionResult(
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label: label,
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score: score,
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left: x,
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top: y,
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right: x + 0.1,
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bottom: y + 0.1,
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modelId: modelId,
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modelName: modelName,
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);
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void main() {
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test('不同模型同标签重复框：NMS 去重取高分', () {
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// 环颈雉鸡模型与野兔模型都检出了同一只"环颈雉鸡"（不同模型对同一目标的重复框）
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final all = [
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box('pheasant', 0.18, 0.3, 0.3, modelId: 1, modelName: '环颈雉鸡模型'),
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box('pheasant', 0.55, 0.31, 0.3, modelId: 2, modelName: '野兔模型'),
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];
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final merged = mergeAcrossModels(all, 0.45);
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expect(merged.length, 1);
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expect(merged.first.score, 0.55);
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expect(merged.first.modelName, '野兔模型');
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});
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test('不同类别互不压制', () {
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final all = [
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box('pheasant', 0.3, 0.5, 0.5, modelId: 1),
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box('hare', 0.7, 0.5, 0.5, modelId: 2), // 同位置但不同类别
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];
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final merged = mergeAcrossModels(all, 0.45);
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expect(merged.length, 2);
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});
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test('同模型内部与跨模型合并一致：远处不重叠保留', () {
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final all = [
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box('pheasant', 0.2, 0.1, 0.1, modelId: 1, modelName: '环颈雉鸡模型'),
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box('pheasant', 0.3, 0.8, 0.8, modelId: 1, modelName: '环颈雉鸡模型'),
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];
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final merged = mergeAcrossModels(all, 0.45);
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expect(merged.length, 2);
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expect(merged.first.score, 0.3); // 按分排序
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});
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test('单条结果原样返回', () {
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final single = [box('suspect', 0.11, 0.2, 0.2)];
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final merged = mergeAcrossModels(single, 0.45);
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expect(identical(merged, single), isTrue);
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});
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}
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