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from PIL import Image, ImageChops |
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import requests |
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import os |
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import torch |
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import functools |
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import numpy as np |
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from modules.utils.paths import * |
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TEST_IMAGE_URL = "https://github.com/microsoft/onnxjs-demo/raw/master/src/assets/EmotionSampleImages/sad_baby.jpg" |
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TEST_IMAGE_PATH = os.path.join(PROJECT_ROOT_DIR, "tests", "test.png") |
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TEST_EXPRESSION_OUTPUT_PATH = os.path.join(PROJECT_ROOT_DIR, "tests", "edited_expression.png") |
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TEST_EXPRESSION_AAA = 100 |
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def download_image(url, path): |
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if os.path.exists(path): |
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return |
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response = requests.get(url, stream=True) |
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if response.status_code == 200: |
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with open(path, 'wb') as file: |
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for chunk in response.iter_content(1024): |
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file.write(chunk) |
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print(f"Image successfully downloaded to {path}") |
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else: |
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raise Exception(f"Failed to download image. Status code: {response.status_code}") |
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def are_images_different(image1_path: str, image2_path: str): |
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image1 = Image.open(image1_path) |
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image2 = Image.open(image2_path) |
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diff = ImageChops.difference(image1, image2) |
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if diff.getbbox() is None: |
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return False |
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else: |
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return True |
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@functools.lru_cache |
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def is_cuda_available(): |
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return torch.cuda.is_available() |
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