我是python和Tensorflow的新手.我试图从Tensorflow Object Detection API运行object_detection_tutorial文件,
但是当检测到物体时,我无法找到可以获取边界框坐标的位置.
相关代码：
# The following processing is only for single image
detection_Boxes = tf.squeeze(tensor_dict['detection_Boxes'],[0])
detection_masks = tf.squeeze(tensor_dict['detection_masks'],[0])
…
我假设边界框被绘制的地方是这样的：
# Visualization of the results of a detection.
vis_util.visualize_Boxes_and_labels_on_image_array(
image_np,output_dict['detection_Boxes'],output_dict['detection_classes'],output_dict['detection_scores'],category_index,instance_masks=output_dict.get('detection_masks'),use_normalized_coordinates=True,line_thickness=8)
plt.figure(figsize=IMAGE_SIZE)
plt.imshow(image_np)
我尝试打印output_dict [‘detection_Boxes’],但我不确定数字是什么意思.有很多.
array([[ 0.56213236,0.2780568,0.91445708,0.69120586],[ 0.56261235,0.86368728,0.59286624,0.8893863 ],[ 0.57073039,0.87096912,0.61292225,0.90354401],[ 0.51422435,0.78449738,0.53994244,0.79437423],……
[ 0.32784131,0.5461576,0.36972913,0.56903434],[ 0.03005961,0.02714229,0.47211722,0.44683522],[ 0.43143299,0.09211366,0.58121657,0.3509962 ]],dtype=float32)
我找到了类似问题的答案,但我没有一个名为Box的变量.我怎样才能获得坐标？谢谢！
最佳答案
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)