feat: Common result dataclasses and refactoring several methods. (#50)

* chore: Rename scripts to tools folder and unify argument parser

* refactor: Centralize dataclasses in types.py and add __call__ to all models

- Move Face and result dataclasses to uniface/types.py
- Add GazeResult, SpoofingResult, EmotionResult (frozen=True)
- Add __call__ to BaseDetector, BaseRecognizer, BaseLandmarker
- Add __repr__ to all dataclasses
- Replace print() with Logger in onnx_utils.py
- Update tools and docs to use new dataclass return types
- Add test_types.py with comprehensive dataclass testschore: Rename files under tools folder and unitify argument parser for them

scripts/sha256_generate.py

@@ -1,28 +0,0 @@
-import argparse
-import hashlib
-from pathlib import Path
-
-
-def compute_sha256(file_path: Path, chunk_size: int = 8192) -> str:
-    sha256_hash = hashlib.sha256()
-    with file_path.open('rb') as f:
-        for chunk in iter(lambda: f.read(chunk_size), b''):
-            sha256_hash.update(chunk)
-    return sha256_hash.hexdigest()
-
-
-def main():
-    parser = argparse.ArgumentParser(description='Compute SHA256 hash of a file')
-    parser.add_argument('file', type=Path, help='Path to file')
-    args = parser.parse_args()
-
-    if not args.file.exists() or not args.file.is_file():
-        print(f'File does not exist: {args.file}')
-        return
-
-    sha256 = compute_sha256(args.file)
-    print(f"SHA256 hash for '{args.file.name}':\n{sha256}")
-
-
-if __name__ == '__main__':
-    main()