modify data format

paddlex/__init__.py

@@ -53,4 +53,4 @@ log_level = 2
 
 from . import interpret
 
-__version__ = '1.0.1.github'
+__version__ = '1.0.2.github'

paddlex/cv/transforms/cls_transforms.py

@@ -259,8 +259,8 @@ class ResizeByShort(ClsTransform):
         im_short_size = min(im.shape[0], im.shape[1])
         im_long_size = max(im.shape[0], im.shape[1])
         scale = float(self.short_size) / im_short_size
-        if self.max_size > 0 and np.round(
-                scale * im_long_size) > self.max_size:
+        if self.max_size > 0 and np.round(scale *
+                                          im_long_size) > self.max_size:
             scale = float(self.max_size) / float(im_long_size)
         resized_width = int(round(im.shape[1] * scale))
         resized_height = int(round(im.shape[0] * scale))
@@ -455,7 +455,7 @@ class ArrangeClassifier(ClsTransform):
             tuple: 当mode为'train'或'eval'时，返回(im, label)，分别对应图像np.ndarray数据、
                 图像类别id；当mode为'test'或'quant'时，返回(im, )，对应图像np.ndarray数据。
         """
-        im = permute(im, False)
+        im = permute(im, False).astype('float32')
         if self.mode == 'train' or self.mode == 'eval':
             outputs = (im, label)
         else:

setup.py

@@ -19,7 +19,7 @@ long_description = "PaddleX. A end-to-end deeplearning model development toolkit
 
 setuptools.setup(
     name="paddlex",
-    version='1.0.1',
+    version='1.0.2',
     author="paddlex",
     author_email="paddlex@baidu.com",
     description=long_description,