PIL图像处理时使用np.unit8转化报错： Cannot handle this data type: (1, 1),
今天遇上了一个错误，让我折腾了许久：
详情如下：
Traceback (most recent call last):
File "F:python36libsite-packagesPILImage.py", line 2772, in fromarray
mode, rawmode = _fromarray_typemap[typekey]
KeyError: ((1, 1), '|O')
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "main.py", line 117, in <module>
main()
File "main.py", line 79, in main
one_judge=recognition.singleJudge(frame,one_box)
File "F:projectrecognition.py", line 100, in singleJudge
one_judge=modelPredict(classifyModel,one_cut_img)
File "F:projectrecognition.py", line 73, in modelPredict
image = loadSingleImage(img)
File "F:projectrecognition.py", line 59, in loadSingleImage
image = np.array(Image.fromarray(np.array(img)).resize((224, 224)))
File "F:python36libsite-packagesPILImage.py", line 2774, in fromarray
raise TypeError("Cannot handle this data type: %s, %s" % typekey) from e
TypeError: Cannot handle this data type: (1, 1), |O
查了一下网上的资料，找到一个解决办法说是在使用Image.fromarray方法的时候对数据进行限定，加入np.unit8，我加入之后依旧报错，报错如下：
详情如下：
Traceback (most recent call last):
File "main.py", line 117, in <module>
main()
File "main.py", line 79, in main
one_judge=recognition.singleJudge(frame,one_box)
File "F:projectrecognition.py", line 100, in singleJudge
one_judge=modelPredict(classifyModel,one_cut_img)
File "F:projectrecognition.py", line 73, in modelPredict
image = loadSingleImage(img)
File "F:projectrecognition.py", line 61, in loadSingleImage
image = np.array(Image.fromarray(np.uint8(np.array(img))).resize((224, 224)))
TypeError: int() argument must be a string, a bytes-like object or a number, not 'Image'
经过几次改动尝试后，最终的解决方法如下：
data = np.array(img.resize([width, height]),np.uint8(Image.BILINEAR))
image = np.array(Image.fromarray(np.uint8(data)))
记录一下备忘。
相关知识
成功解决报错Cannot find class [com.alibaba.druid.pool.DruidDataSource] for bean with name ‘dataSource‘
基于TensorFlow的CNN卷积网络模型花卉分类（1）
【北京大学】13 TensorFlow1.x的项目实战之手写英文体识别OCR技术
深度学习实战（二）：AlexNet实现花图像分类
onclick触发type=file并上传文件
深度学习实战：AlexNet实现花图像分类
CUBEAI详细使用教程（STM32运行神经网络）
使用 IBM Data Studio 管理数据库最佳实践1
基于Tensorflow使用CNN进行图像分类
y=ln(x+3),x0=1,求方程的根，用牛顿法。我的答案总乱码啊，为什么
网址: PIL图像处理时使用np.unit8转化报错： Cannot handle this data type: (1, 1), https://m.huajiangbk.com/newsview1222724.html
| 上一篇: 200多个蔬菜新优品种，全在这！ |
下一篇: 种凤仙花需要什么工具 |
