app skeleton

gigachadify.py

@@ -0,0 +1,75 @@
+from pathlib import Path
+import torch
+
+
+GIGACHAD_IMAGE_PATH = "TODO"
+
+
+def detect_faces(image: torch.Tensor) -> torch.Tensor:
+    raise NotImplementedError
+
+
+def face_detection_asserts(base_faces, target_faces):
+    raise NotImplementedError
+
+
+def get_face_single(faces: torch.Tensor) -> torch.Tensor:
+    raise NotImplementedError
+
+
+def swap_faces(
+    base_face_img: torch.Tensor, target_face_img: torch.Tensor
+) -> torch.Tensor:
+    base_faces = detect_faces(base_face_img)
+    target_faces = detect_faces(target_face_img)
+
+    face_detection_asserts(base_faces, target_faces)
+
+    face_swapper = get_face_swap_model()
+
+    base_face = get_face_single(base_faces)
+    target_face = get_face_single(target_faces)
+
+    result = target_face_img
+    result = face_swapper.get(result, base_face, target_face)
+
+
+def read_image(image_path: str):
+    raise NotImplementedError
+
+
+def save_image(image: torch.tensor, output_image_path: str):
+    raise NotImplementedError
+
+
+def get_face_swap_model():
+    pass
+
+
+def gigachadify(input_image_path: str, output_image_path: str):
+    chad_base = read_image(GIGACHAD_IMAGE_PATH)
+    input_image = read_image(input_image_path)
+
+    result = swap_faces(chad_base, input_image)
+
+    save_image(result, output_image_path)
+
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(description="Gigachadify any face")
+
+    parser.add_argument(
+        "--input-image", type=str, required=True, help="Path or URL to the input image"
+    )
+    parser.add_argument(
+        "--output-image",
+        type=str,
+        default="outputs/gigachad.png",
+        help="Path to the output image",
+    )
+
+    args = parser.parse_args()
+
+    gigachadify(args.input_image, args.output_image)