YOLOv8：运行时错误：在当前进程完成引导阶段之前尝试启动新进程

Question

在当前进程完成其引导阶段之前，已尝试启动新进程。

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

** 尝试在 python 环境中训练 YOLOv8 模型时会出现此错误** from ultralytics import YOLO

# Load a model
model = YOLO("yolov8n.yaml")  # build a new model from scratch
model = YOLO("yolov8n.pt")  # load a pretrained model (recommended for training)

# Use the model
results = model.train(data="coco128.yaml", epochs=3)  # train the model
results = model.val()  # evaluate model performance on the validation set
results = model("https://ultralytics.com/images/bus.jpg")  # predict on an image
success = YOLO("yolov8n.pt").export(format="onnx")  # export a model to ONNX format

Answer 1

我通过将模型流程代码保留在顶级环境的名称下（if name == ' main ':) 设法克服了这个问题，如下所示：

from ultralytics import YOLO

# Load a model
model = YOLO("yolov8n.yaml")  # build a new model from scratch
model = YOLO("yolov8n.pt")  # load a pretrained model (recommended for training)

if __name__ == '__main__':
    # Use the model
    results = model.train(data="coco128.yaml", epochs=3)  # train the model
    results = model.val()  # evaluate model performance on the validation set
    results = model("https://ultralytics.com/images/bus.jpg")  # predict on an image
    success = YOLO("yolov8n.pt").export(format="onnx")  # export a model to ONNX format