Remove IM from DOCX input

src/calibre/ebooks/docx/cleanup.py

@@ -181,9 +181,10 @@ def cleanup_markup(log, root, styles, dest_dir, detect_cover, XPath):
             img = img[0]
             path = os.path.join(dest_dir, img.get('src'))
             if os.path.exists(path) and before_count(root, img, limit=10) < 5:
-                from calibre.utils.magick.draw import identify
+                from calibre.utils.imghdr import identify
                 try:
-                    width, height, fmt = identify(path)
+                    with lopen(path, 'rb') as imf:
+                        fmt, width, height = identify(imf)
                 except:
                     width, height, fmt = 0, 0, None  # noqa
                 del fmt

src/calibre/ebooks/docx/images.py

@@ -10,12 +10,11 @@ import os
 
 from lxml.html.builder import IMG, HR
 
-from calibre import fit_image
 from calibre.constants import iswindows
 from calibre.ebooks.docx.names import barename
 from calibre.utils.filenames import ascii_filename
+from calibre.utils.img import resize_to_fit, image_to_data
 from calibre.utils.imghdr import what
-from calibre.utils.magick import Image
 
 class LinkedImageNotFound(ValueError):
 
@@ -156,14 +155,11 @@ class Images(object):
         return name
 
     def resize_image(self, raw, base, max_width, max_height):
-        img = Image()
-        img.load(raw)
-        resized, nwidth, nheight = fit_image(img.size[0], img.size[1], max_width, max_height)
+        resized, img = resize_to_fit(raw, max_width, max_height)
         if resized:
-            img.size = (nwidth, nheight)
             base, ext = os.path.splitext(base)
             base = base + '-%dx%d%s' % (max_width, max_height, ext)
-            raw = img.export(ext[1:])
+            raw = image_to_data(img, fmt=ext[1:])
         return raw, base, resized
 
     def generate_filename(self, rid, base=None, rid_map=None, max_width=None, max_height=None):

src/calibre/utils/img.py

@@ -82,6 +82,13 @@ def image_to_data(img, compression_quality=95, fmt='JPEG'):
 def resize_image(img, width, height):
     return img.scaled(int(width), int(height), Qt.IgnoreAspectRatio, Qt.SmoothTransformation)
 
+def resize_to_fit(img, width, height):
+    img = image_from_data(img)
+    resize_needed, nw, nh = fit_image(img.width(), img.height(), width, height)
+    if resize_needed:
+        resize_image(img, nw, nh)
+    return resize_needed, img
+
 def scale_image(data, width=60, height=80, compression_quality=70, as_png=False, preserve_aspect_ratio=True):
     ''' Scale an image, returning it as either JPEG or PNG data (bytestring).
     Transparency is alpha blended with white when converting to JPEG. Is thread