关于#YOLOv#的问题，如何解决？无锚框

Question

YOLOV8最新版本detect图片，但是结果上没有锚框，请教一下大家。使用之前版本的v8没有这种问题的，现在直接git下来最新的就这样子了

我使用的代码如下

from ultralytics import YOLO

model = YOLO("yolov8s.pt")  # load a pretrained model (recommended for training)

# Use the model
model.predict(source='https://media.roboflow.com/notebooks/examples/dog.jpeg') 

结果只有这样子

我已经开启了detect里面的大部分设置了，能够得到label，执行后终端也能显示识别出了几个东西，但是就是不显示

# Prediction settings --------------------------------------------------------------------------------------------------
source:  # (str, optional) source directory for images or videos
show: True  # (bool) show results if possible
save_txt: True  # (bool) save results as .txt file
save_conf: True  # (bool) save results with confidence scores
save_crop: True  # (bool) save cropped images with results
show_labels: True  # (bool) show object labels in plots
show_conf: True  # (bool) show object confidence scores in plots
vid_stride: 1  # (int) video frame-rate stride
stream_buffer: False  # (bool) buffer all streaming frames (True) or return the most recent frame (False)
line_width:   # (int, optional) line width of the bounding boxes, auto if missing
visualize: True  # (bool) visualize model features
augment: False  # (bool) apply image augmentation to prediction sources
agnostic_nms: False  # (bool) class-agnostic NMS
classes:  # (int | list[int], optional) filter results by class, i.e. classes=0, or classes=[0,2,3]
retina_masks: False  # (bool) use high-resolution segmentation masks
boxes: True  # (bool) Show boxes in segmentation predictions

image 1/1 /content/drive/MyDrive/dog.jpeg: 640x384 1 person, 1 car, 1 dog, 1 handbag, 31409.6ms
Speed: 6.2ms preprocess, 31409.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 384)
Results saved to /content/drive/My Drive/ultralytics/runs/detect/predict3
1 label saved to /content/drive/My Drive/ultralytics/runs/detect/predict3/labels

Answer 1

在yolov8中，对代码进行了封装，其中model.predict里面是可以设定参数的，你知道不，下面是我预测时候，设定的内容。

model.predict(source=img_dir, show=False, save=False, imgsz=640, save_txt=False, conf=0.01, iou=0.3)

我注意到这一行打印的内容里面：
image 1/1 /content/drive/MyDrive/dog.jpeg: 640x384 1 person, 1 car, 1 dog, 1 handbag, 31409.6ms
后面这个1 person, 1 car, 1 dog, 1 handbag，就是简略的预测结果，说明是预测的有的，只是没有绘制到图像上。你看看官方的文档，或者参考我上面的内容，save=True, 看看输出结果，结果默认会存储到runs里面，最新创建的文件夹里