反光衣检测SDK
实现施工区域或者危险区域人员穿戴检测.
SDK功能
- 反光衣检测，给出检测框和置信度
运行例子 - ReflectiveVestDetectExample
-
测试图片
pedestrian
/**
* 行人检测例子 http://aias.top/
*
* @author Calvin
*/
public final class ReflectiveVestDetectExample {
private static final Logger logger = LoggerFactory.getLogger(ReflectiveVestDetectExample.class);
private ReflectiveVestDetectExample() {}
public static void main(String[] args) throws IOException, ModelException, TranslateException {
Path imageFile = Paths.get("src/test/resources/vest.jpg");
Image image = ImageFactory.getInstance().fromFile(imageFile);
Criteria<Image, DetectedObjects> criteria = new ReflectiveVest().criteria();
try (ZooModel model = ModelZoo.loadModel(criteria);
Predictor<Image, DetectedObjects> predictor = model.newPredictor()) {
DetectedObjects detections = predictor.predict(image);
List<DetectedObjects.DetectedObject> items = detections.items();
List<String> names = new ArrayList<>();
List<Double> prob = new ArrayList<>();
List<BoundingBox> boxes = new ArrayList<>();
for (int i = 0; i < items.size(); i++) {
DetectedObjects.DetectedObject item = items.get(i);
if (item.getProbability() < 0.5f) {
continue;
}
names.add(item.getClassName() + " " + item.getProbability());
prob.add(item.getProbability());
boxes.add(item.getBoundingBox());
}
detections = new DetectedObjects(names, prob, boxes);
ImageUtils.saveBoundingBoxImage(image, detections, "reflective_detect_result.png", "build/output");
logger.info("{}", detections);
}
}
}
运行成功后，命令行应该看到下面的信息:
[INFO ] - [
class: "safe 0.936024010181427", probability: 0.93602, bounds: [x=0.316, y=0.628, width=0.259, height=0.370]
class: "safe 0.9202641248703003", probability: 0.92026, bounds: [x=0.000, y=0.106, width=0.176, height=0.341]
class: "safe 0.9085375070571899", probability: 0.90853, bounds: [x=0.578, y=0.501, width=0.221, height=0.485]
class: "safe 0.8891122937202454", probability: 0.88911, bounds: [x=0.802, y=0.465, width=0.197, height=0.532]
class: "unsafe 0.781899094581604", probability: 0.78189, bounds: [x=0.177, y=0.432, width=0.190, height=0.416]
]
目录：
Git地址：
https://github.com/mymagicpower/AIAS
https://gitee.com/mymagicpower/AIAS
