1 、从yolov5文件夹李找到detect.py，按Ctrl+F 输入annotator.box_label；
if save_img or save_crop or view_img: # Add bbox to image
c = int(cls) # integer class
label = None if hide_labels else (names[c] if hide_conf else f'{names[c]} {conf:.2f}')
annotator.box_label(xyxy, label, color=colors(c, True))
2、找到这个代码后按住ctrl键，鼠标点击box_label，就会跳到plots.py文件并定位到box_label定义的地方；
3、找到p1, p2 = (int(box[0]), int(box[1])), (int(box[2]), int(box[3]))，在这行代码下面新增：
print("左上点的坐标为：(" + str(p1[0]) + "," + str(p1[1]) + ")，右下点的坐标为(" + str(p2[0]) + "," + str(p2[1]) + ")")
4、完成后的代码如下：
def box_label(self, box, label='', color=(128, 128, 128), txt_color=(255, 255, 255)):
# Add one xyxy box to image with label
if self.pil or not is_ascii(label):
self.draw.rectangle(box, width=self.lw, outline=color) # box
if label:
w, h = self.font.getsize(label) # text width, height
outside = box[1] - h >= 0 # label fits outside box
self.draw.rectangle([box[0],
box[1] - h if outside else box[1],
box[0] + w + 1,
box[1] + 1 if outside else box[1] + h + 1], fill=color)
# self.draw.text((box[0], box[1]), label, fill=txt_color, font=self.font, anchor='ls') # for PIL>8.0
self.draw.text((box[0], box[1] - h if outside else box[1]), label, fill=txt_color, font=self.font)
else: # cv2
p1, p2 = (int(box[0]), int(box[1])), (int(box[2]), int(box[3]))
print("左上点的坐标为：(" + str(p1[0]) + "," + str(p1[1]) + ")，右下点的坐标为(" + str(p2[0]) + "," + str(p2[1]) + ")")
cv2.rectangle(self.im, p1, p2, color, thickness=self.lw, lineType=cv2.LINE_AA)5、测试情况：回到命令行，cd到yolov5文件夹，输入指令：python detect.py --source ../mask.1.jpg，其中mask.1.jpg应改为你yolov5文件夹下的图片名称；按回车键后运行就发现输出的信息多了刚才添加的一行
(venv) (base) rongxiao@rongxiao:~/PycharmProjects/yolococo/yolov5$ python detect.py --source ../mask.1.jpg detect: weights=yolov5s.pt, source=../mask.1.jpg, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs/detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False YOLOv5
