| "All the constants used in this repo." |
|
|
| from pathlib import Path |
|
|
| import numpy as np |
| from PIL import Image |
|
|
| |
| REPO_DIR = Path(__file__).parent |
|
|
| |
| FILTERS_PATH = REPO_DIR / "filters" |
| KEYS_PATH = REPO_DIR / ".fhe_keys" |
| CLIENT_TMP_PATH = REPO_DIR / "client_tmp" |
| SERVER_TMP_PATH = REPO_DIR / "server_tmp" |
|
|
| |
| KEYS_PATH.mkdir(exist_ok=True) |
| CLIENT_TMP_PATH.mkdir(exist_ok=True) |
| SERVER_TMP_PATH.mkdir(exist_ok=True) |
|
|
| |
| AVAILABLE_FILTERS = [ |
| "identity", |
| "inverted", |
| "rotate", |
| "black and white", |
| "blur", |
| "sharpen", |
| "ridge detection", |
| ] |
|
|
| |
| INPUT_SHAPE = (100, 100) |
|
|
| |
| np.random.seed(42) |
| INPUTSET = tuple( |
| np.random.randint(0, 255, size=(INPUT_SHAPE + (3,)), dtype=np.int64) for _ in range(10) |
| ) |
|
|
|
|
| def load_image(image_path): |
| image = Image.open(image_path).convert("RGB").resize(INPUT_SHAPE) |
| image = np.asarray(image, dtype="int64") |
| return image |
|
|
|
|
| _INPUTSET_DIR = REPO_DIR / "input_examples" |
|
|
| |
| EXAMPLES = [str(image) for image in _INPUTSET_DIR.glob("**/*")] |
|
|
| SERVER_URL = "http://localhost:8000/" |
|
|