1 files changed, 63 insertions, 0 deletions
diff --git a/cropper.py b/cropper.py
new file mode 100644
index 0000000..2d2aee8
--- /dev/null
+++ b/cropper.py
@@ -0,0 +1,63 @@
+import cv2
+import os
+from pathlib import Path
+from insightface.app import FaceAnalysis
+
+INPUT_DIR = "../captcha-original"
+OUTPUT_DIR = "../captcha"
+
+EXTS = {".jpg", ".jpeg", ".png", ".webp"}
+
+app = FaceAnalysis(name="buffalo_l")
+app.prepare(ctx_id=0, det_size=(640, 640))
+
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+
+def resize_and_crop(img, size=100):
+    h, w = img.shape[:2]
+    scale = max(size / w, size / h)
+    nw = int(w * scale)
+    nh = int(h * scale)
+    img = cv2.resize(img, (nw, nh), interpolation=cv2.INTER_AREA)
+    x = (nw - size) // 2
+    y = (nh - size) // 2
+    return img[y:y+size, x:x+size]
+
+
+def process_image(path: Path):
+    img = cv2.imread(str(path))
+    if img is None:
+        print(f"failed: {path}")
+        return
+    faces = app.get(img)
+    if not faces:
+        print(f"no face: {path}")
+        return
+    for i, face in enumerate(faces):
+        x1, y1, x2, y2 = face.bbox.astype(int)
+        pad_x = int((x2 - x1) * 0.25)
+        pad_y = int((y2 - y1) * 0.35)
+        x1 = max(0, x1 - pad_x)
+        y1 = max(0, y1 - pad_y)
+        x2 = min(img.shape[1], x2 + pad_x)
+        y2 = min(img.shape[0], y2 + pad_y)
+        crop = img[y1:y2, x1:x2]
+        if crop.size == 0:
+            continue
+        crop = resize_and_crop(crop, 100)
+        rel = path.relative_to(INPUT_DIR)
+        out_dir = Path(OUTPUT_DIR) / rel.parent
+        out_dir.mkdir(parents=True, exist_ok=True)
+
+        out_name = f"{path.stem}.png"
+        out_path = out_dir / out_name
+
+        cv2.imwrite(str(out_path), crop)
+
+        print(f"saved: {out_path}")
+
+for root, _, files in os.walk(INPUT_DIR):
+    for file in files:
+        path = Path(root) / file
+        if path.suffix.lower() in EXTS:
+            process_image(path)