I tried printing output_dict[‘detection_Boxes’] but I am not sure what
the numbers mean

您可以自己查看代码. visualize_Boxes_and_labels_on_image_array定义为here.

请注意,您正在传递use_normalized_coordinates = True.如果你跟踪函数调用,你会看到你的数字[0.56213236,0.691205]等是图像坐标所在的值[ymin,xmin,ymax,xmax]：

(left,right,top,bottom) = (xmin * im_width,xmax * im_width,ymin * im_height,ymax * im_height)

由函数计算：

def draw_bounding_Box_on_image(image,ymin,xmax,color='red',thickness=4,display_str_list=(),use_normalized_coordinates=True):
  """Adds a bounding Box to an image.
  Bounding Box coordinates can be specified in either absolute (pixel) or
  normalized coordinates by setting the use_normalized_coordinates argument.
  Each string in display_str_list is displayed on a separate line above the
  bounding Box in black text on a rectangle filled with the input 'color'.
  If the top of the bounding Box extends to the edge of the image,the strings
  are displayed below the bounding Box.
  Args:
    image: a PIL.Image object.
    ymin: ymin of bounding Box.
    xmin: xmin of bounding Box.
    ymax: ymax of bounding Box.
    xmax: xmax of bounding Box.
    color: color to draw bounding Box. Default is red.
    thickness: line thickness. Default value is 4.
    display_str_list: list of strings to display in Box
                      (each to be shown on its own line).
    use_normalized_coordinates: If True (default),treat coordinates
      ymin,xmax as relative to the image.  Otherwise treat
      coordinates as absolute.
  """
  draw = ImageDraw.Draw(image)
  im_width,im_height = image.size
  if use_normalized_coordinates:
    (left,ymax * im_height)