Python ValueError:在使用tf.image.crop\u到\u bounding\u框时，Tensor转换为dtype float32的Tensor请求了dtype int32

我试图根据边界框裁剪图像

bbox = [{'width': '500', 'ymin': '125', 'depth': '3', 'xmax': '387', 'xmin': '29', 'height': '375', 'ymax': '245'}]

ymin = float(bbox['ymin'])/float(bbox['height'])
ymax = float(bbox['ymax'])/float(bbox['height'])
xmin = float(bbox['xmin'])/float(bbox['width'])
xmax = float(bbox['xmax'])/float(bbox['width'])

total_height = tf.convert_to_tensor(ymax_int -  ymin_int)
total_width = tf.convert_to_tensor(xmax -  xmin) 
ymin =  tf.convert_to_tensor(ymin)
xmin  = tf.convert_to_tensor(xmin)

img=mpimg.imread(filename)
img = tf.convert_to_tensor(img)
image = tf.image.crop_to_bounding_box(img,  ymin,  xmin,  total_height, total_width)

我得到以下错误：

 ValueError: Tensor conversion requested dtype int32 for Tensor with dtype 
   float32: 'Tensor("Const_7:0", shape=(), dtype=float32)'

   Const_7:0 is ymin

感谢TensorFlow使用任何有关如何修复此问题的帮助来裁剪图像，这需要将张量的数据类型

总高度
，
总宽度
，
ymin
和
xmin
设置为
int32
：

total_height = tf.convert_to_tensor(ymax_int -  ymin_int, dtype=tf.int32)
total_width = tf.convert_to_tensor(xmax -  xmin, dtype=tf.int32) 
ymin =  tf.convert_to_tensor(ymin, dtype=tf.int32)
xmin  = tf.convert_to_tensor(xmin, dtype=tf.int32)

尝试将
total_height
变量设置为以下值：

total_height = tf.cast(tf.convert_to_tensor(ymax_int - ymin_int, dtype = tf.float32), dtype = tf.int32)

tf.convert\u to\u tensor（arg，dtype=tf.float32）
help？