news_verification / src /application /image /image_comparison.py
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from io import BytesIO
import imagehash
import requests
from PIL import Image
from src.application.image.search_yandex import YandexReverseImageSearcher
def get_image_from_url(url):
try:
response = requests.get(url)
return Image.open(BytesIO(response.content))
except Exception as e:
print(f"Error opening image: {e}")
return None
def get_image_from_file(file_path):
try:
return Image.open(file_path)
except FileNotFoundError:
print(f"Error occurred while opening image from file: {file_path}")
return None
def standardize_image(image):
# Convert to RGB if needed
if image.mode in ("RGBA", "LA"):
background = Image.new("RGB", image.size, (255, 255, 255))
background.paste(image, mask=image.split()[-1])
image = background
elif image.mode != "RGB":
image = image.convert("RGB")
# Resize to standard size (e.g. 256x256)
standard_size = (256, 256)
image = image.resize(standard_size)
return image
def compare_images(image1, image2):
# Standardize both images first
img1_std = standardize_image(image1)
img2_std = standardize_image(image2)
hash1 = imagehash.average_hash(img1_std)
hash2 = imagehash.average_hash(img2_std)
return hash1 - hash2 # Returns the Hamming distance between the hashes
if __name__ == "__main__":
image_url = "https://i.pinimg.com/originals/c4/50/35/c450352ac6ea8645ead206721673e8fb.png" # noqa: E501
# Get the image from URL
url_image = get_image_from_url(image_url)
# Search image
rev_img_searcher = YandexReverseImageSearcher()
res = rev_img_searcher.search(image_url)
for search_item in res:
print(f"Title: {search_item.page_title}")
# print(f'Site: {search_item.page_url}')
print(f"Img: {search_item.image_url}\n")
# Compare each search result image with the input image
result_image = get_image_from_url(search_item.image_url)
result_difference = compare_images(result_image, url_image)
print(f"Difference with search result: {result_difference}")
if result_difference == 0:
break