add centercropping

danbooru_data/download.py

@@ -22,25 +22,37 @@ parser = argparse.ArgumentParser()
 parser.add_argument('--file', '-f', type=str, required=False, default='links.json')
 parser.add_argument('--out_file', '-o', type=str, required=False, default='dataset-%06d.tar')
 parser.add_argument('--max_size', '-m', type=int, required=False, default=4294967296)
-parser.add_argument('--threads', '-p', required=False, default=16)
-parser.add_argument('--resize', '-r', required=False, default=768)
+parser.add_argument('--threads', '-p', required=False, default=16, type=int)
+parser.add_argument('--resize', '-r', required=False, default=768, type=int)
 args = parser.parse_args()
 
-def resize_image(image: Image, max_size=(768,768)):
-    image = ImageOps.contain(image, max_size, Image.LANCZOS)
-    # resize to integer multiple of 64
-    w, h = image.size
-    w, h = map(lambda x: x - x % 64, (w, h))
+def resize_image(image: Image, max_size=(512,512), center_crop=True):
+    if not center_crop:
+        image = ImageOps.contain(image, max_size, Image.LANCZOS)
+        # resize to integer multiple of 64
+        w, h = image.size
+        w, h = map(lambda x: x - x % 64, (w, h))
 
-    ratio = w / h
-    src_ratio = image.width / image.height
+        ratio = w / h
+        src_ratio = image.width / image.height
 
-    src_w = w if ratio > src_ratio else image.width * h // image.height
-    src_h = h if ratio <= src_ratio else image.height * w // image.width
+        src_w = w if ratio > src_ratio else image.width * h // image.height
+        src_h = h if ratio <= src_ratio else image.height * w // image.width
 
-    resized = image.resize((src_w, src_h), resample=Image.LANCZOS)
-    res = Image.new("RGB", (w, h))
-    res.paste(resized, box=(w // 2 - src_w // 2, h // 2 - src_h // 2))
+        resized = image.resize((src_w, src_h), resample=Image.LANCZOS)
+        res = Image.new("RGB", (w, h))
+        res.paste(resized, box=(w // 2 - src_w // 2, h // 2 - src_h // 2))
+    else:
+        if not image.mode == "RGB":
+            image = image.convert("RGB")
+        if center_crop:
+        img = np.array(image).astype(np.uint8)
+        crop = min(img.shape[0], img.shape[1])
+        h, w, = img.shape[0], img.shape[1]
+        img = img[(h - crop) // 2:(h + crop) // 2,
+            (w - crop) // 2:(w + crop) // 2]
+        res = Image.fromarray(img)
+        res = res.resize(max_size, resample=Image.LANCZOS)
 
     return res