【发布时间】:2019-08-06 00:05:06
【问题描述】:
我最近偶然发现了这个问题:Interactive labeling of images in jupyter notebook,我觉得这很有趣。
在 Python 编码方面几乎没有经验,我尝试使用 Jupyter Notebook 从答案中运行提供的代码,但不知何故无法让它工作。我相信我在导入图像时做错了什么。我正在尝试从位于“PATH”中的名为“images”的文件夹中导入所有图像。
完整代码如下:
import cv2
import os
import ipywidgets as widgets
import functools
images_list = []
os.chdir(PATH)
# Load in the images
for filepath in os.listdir('images/'):
images_list.append(cv2.imread('images/{0}'.format(filepath),0))
COLS = 4
ROWS = 2
IMAGES = images_list
IMG_WIDTH = 200
IMG_HEIGHT = 200
def on_click(index):
print('Image %d clicked' % index)
rows = []
for row in range(ROWS):
cols = []
for col in range(COLS):
index = row * COLS + col
image = widgets.Image(
value=IMAGES[index], width=IMG_WIDTH, height=IMG_HEIGHT
)
button = widgets.Button(description='Image %d' % index)
# Bind the click event to the on_click function, with our index as argument
button.on_click(functools.partial(on_click, index))
# Create a vertical layout box, image above the button
box = widgets.VBox([image, button])
cols.append(box)
# Create a horizontal layout box, grouping all the columns together
rows.append(widgets.HBox(cols))
# Create a vertical layout box, grouping all the rows together
result = widgets.VBox(rows)
编辑
修复语法错误后,出现以下错误:
---------------------------------------------------------------------------
TraitError
Traceback (most recent call last) <ipython-input-87-2ca2a1eb59b4> in <module>()
36 index = row * COLS + col
37 image = widgets.Image(
---> 38 value=IMAGES[index], width=IMG_WIDTH, height=IMG_HEIGHT
39 )
40 button = widgets.Button(description='Image %d' % index)
~\Anaconda3\lib\site-packages\ipywidgets\widgets\widget.py in __init__(self, **kwargs)
409 """Public constructor"""
410 self._model_id = kwargs.pop('model_id', None)
--> 411 super(Widget, self).__init__(**kwargs)
412
413 Widget._call_widget_constructed(self)
~\Anaconda3\lib\site-packages\traitlets\traitlets.py in __init__(self, *args, **kwargs)
995 for key, value in kwargs.items():
996 if self.has_trait(key):
--> 997 setattr(self, key, value)
998 else:
999 # passthrough args that don't set traits to super
~\Anaconda3\lib\site-packages\traitlets\traitlets.py in __set__(self, obj, value)
583 raise TraitError('The "%s" trait is read-only.' % self.name)
584 else:
--> 585 self.set(obj, value)
586
587 def _validate(self, obj, value):
~\Anaconda3\lib\site-packages\traitlets\traitlets.py in set(self, obj, value)
557
558 def set(self, obj, value):
--> 559 new_value = self._validate(obj, value)
560 try:
561 old_value = obj._trait_values[self.name]
~\Anaconda3\lib\site-packages\traitlets\traitlets.py in _validate(self, obj, value)
589 return value
590 if hasattr(self, 'validate'):
--> 591 value = self.validate(obj, value)
592 if obj._cross_validation_lock is False:
593 value = self._cross_validate(obj, value)
~\Anaconda3\lib\site-packages\traitlets\traitlets.py in validate(self, obj, value)
2024 if isinstance(value, bytes):
2025 return value
-> 2026 self.error(obj, value)
2027
2028
~\Anaconda3\lib\site-packages\traitlets\traitlets.py in error(self, obj, value)
623 e = "The '%s' trait must be %s, but a value of %r was specified." \
624 % (self.name, self.info(), repr_type(value))
--> 625 raise TraitError(e)
626
627 def get_metadata(self, key, default=None):
TraitError: The 'value' trait of an Image instance must be a bytes object, but a value of
array([[232, 242, 243, ..., 243, 246, 232],
[244, 254, 255, ..., 254, 255, 243],
[244, 254, 255, ..., 254, 255, 242],
...,
[242, 253, 253, ..., 254, 254, 243],
[245, 255, 255, ..., 255, 255, 244],
[238, 249, 248, ..., 245, 245, 234]], dtype=uint8)
<class 'numpy.ndarray'>
was specified.
编辑
这是我的 Jupyter Notebook 版本:
【问题讨论】:
-
对于您编辑的问题: TraitError 看起来 Traitlets 包需要一个 Bytes 对象,但 IPyWidget 正在向它发送一个 numpy 数组。考虑到您自己没有对 numpy 做任何事情,我猜这是一个兼容性问题。您使用的是什么版本的 ipywidgets?特质呢?它们兼容吗?
-
@NiayeshIsky 感谢您的评论。我已经用我的 jupyter 版本更新了我的问题,但我不知道如何检查 traitlets。你会怎么做?谢谢。
-
看起来你正在使用 Anaconda,所以根据this answer,只需运行
conda env export -n YOUR_ENV_NAME > environment.yml并在输出environment.yml文件中查找traitlets。 (或者您可以pastebin 整个输出文件并在此处链接到它,如果您愿意的话。)
标签: python opencv jupyter-notebook interactive