yolov8中的TASK_MAP
时间: 2023-11-03 21:56:48 浏览: 68
在YOLOv8中,TASK_MAP是一个字典,用于将任务(classify、detect、segment、pose)与相应的模型、训练器、验证器和预测器关联起来。具体来说,TASK_MAP的结构如下:
```
TASK_MAP = {
'classify': [ClassificationModel, yolo.v8.classify.ClassificationTrainer, yolo.v8.classify.ClassificationValidator, yolo.v8.classify.ClassificationPredictor],
'detect': [DetectionModel, yolo.v8.detect.DetectionTrainer, yolo.v8.detect.DetectionValidator, yolo.v8.detect.DetectionPredictor],
'segment': [SegmentationModel, yolo.v8.segment.SegmentationTrainer, yolo.v8.segment.SegmentationValidator, yolo.v8.segment.SegmentationPredictor],
'pose': [PoseModel, yolo.v8.pose.PoseTrainer, yolo.v8.pose.PoseValidator, yolo.v8.pose.PosePredictor]
}
```
其中,'classify'对应的模型是ClassificationModel,训练器是yolo.v8.classify.ClassificationTrainer,验证器是yolo.v8.classify.ClassificationValidator,预测器是yolo.v8.classify.ClassificationPredictor。同样地,'detect'对应的模型是DetectionModel,训练器是yolo.v8.detect.DetectionTrainer,验证器是yolo.v8.detect.DetectionValidator,预测器是yolo.v8.detect.DetectionPredictor。'segment'和'pose'对应的模型、训练器、验证器和预测器的类似关系也可以根据TASK_MAP进行获取。