TypeError：无法处理此数据类型：(1，1，3)，&lt；f4 [英] TypeError: Cannot handle this data type: (1, 1, 3), <f4

问题描述

temp_image为(600,600，3)，取值范围为0到1。

def pro_process(temp_img, input_size):
    img = np.asarray(temp_img).astype('float32')
    img = np.array(Image.fromarray(img).resize((input_size, input_size)).convert(3))
    return img

它显示以下错误：

Traceback (most recent call last):
  File "S:Program FilesPython36libsite-packagesPILImage.py", line 2681, in fromarray
    mode, rawmode = _fromarray_typemap[typekey]
KeyError: ((1, 1, 3), '<f4')

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "H:OneDrivesynchronization codeDeveloping collectionPythonMNet_DeepCDR-mastermnet_deep_cdr_ide
unStep_3_MNet_test.py", line 56, in <module>
    temp_img = pro_process(Disc_flat, CDRSeg_size)
  File "S:Program FilesPython36libsite-packagesmnet_deep_cdrmnet_utils.py", line 18, in pro_process
    img = np.array(Image.fromarray(img).resize((input_size, input_size)).convert(3))
  File "S:Program FilesPython36libsite-packagesPILImage.py", line 2683, in fromarray
    raise TypeError("Cannot handle this data type: %s, %s" % typekey)
TypeError: Cannot handle this data type: (1, 1, 3), <f4

项目链接：https://github.com/HzFu/MNet_DeepCDR

错误是什么以及如何修复？

根据此链接：PIL TypeError: Cannot handle this data type我已更新代码，但仍有错误

def pro_process(temp_img, input_size):
print(temp_img.shape)
img = np.asarray(temp_img).astype('float32')
img = np.array(Image.fromarray((img * 255).astype(np.uint8)).resize((input_size, input_size)).convert(3))
return img

错误：

Traceback (most recent call last):
  File "H:OneDrivesynchronization codeDeveloping collectionPythonMNet_DeepCDR-mastermnet_deep_cdr_ide
unStep_3_MNet_test.py", line 56, in <module>
  temp_img = pro_process(Disc_flat, CDRSeg_size)
  File "S:Program FilesPython36libsite-packagesmnet_deep_cdrmnet_utils.py", line 18, in pro_process
  img = np.array(Image.fromarray((img * 255).astype(np.uint8)).resize((input_size, input_size)).convert(3))
  File "S:Program FilesPython36libsite-packagesPILImage.py", line 995, in convert
  im = self.im.convert(mode, dither)
 TypeError: argument 1 must be str, not int

推荐答案

错误消息似乎是在抱怨形状，但实际上是关于数据类型。乘以255，然后更改为uint8，为我解决了此问题：

random_array = np.random.random_sample(content_array.shape) * 255
random_array = random_array.astype(np.uint8)
random_image = Image.fromarray(random_array)

这篇关于TypeError：无法处理此数据类型：(1，1，3)，&lt；f4的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！