Question

我正在尝试使用skimage.io.imread_collection从存档中读取多个图像，但出于某种原因会抛出错误：

＆＃34;没有名为＆＃39; 00071198d059ba7f5914a526d124d28e6d010c92466da21d4a04cd5413362552 /掩码/ * .png＆＃39;在档案馆＆＃34;。

我多次检查过，这样的目录存在于存档中，并且使用* .png我只是指定我希望我的集合中包含所有图像，imread_collection运行正常，当我尝试下载的图像不是来自存档，但来自解压缩的文件夹。

#specify folder name
each_img_idx = '00071198d059ba7f5914a526d124d28e6d010c92466da21d4a04cd5413362552'

with zipfile.ZipFile('stage1_train.zip') as archive:
    mask_ = skimage.io.imread_collection(archive.open(str(each_img_idx) + '/masks/*.png')).concatenate()

可能有人解释我，发生了什么？

Answer 1

Not all scikit-image plugins support reading from bytes, so I recommend using imageio. You'll also have to tell ImageCollection how to access the images inside the archive, which is done using a customized load_func:

from skimage import io
import imageio

archive = zipfile.ZipFile('foo.zip')
images = [f.filename for f in zf.filelist]

def zip_imread(fn):
    return imageio.imread(archive.read(fn))

ic = io.ImageCollection(images, load_func=zip_imread)

ImageCollection has some benefits like not loading all images into memory at the same time. But if you simply want a long list of NumPy arrays, you can do:

collection = [imageio.imread(zf.read(f)) for f in zf.filelist]

imread_collection没有项目

1 个答案: