convert captcha scraper to a submodule

1 files changed, 0 insertions, 63 deletions

diff --git a/captcha_scraper/cropper.py b/captcha_scraper/cropper.py
deleted file mode 100644
index 2d2aee8..0000000
--- a/captcha_scraper/cropper.py
+++ /dev/null
@@ -1,63 +0,0 @@
-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)