Building dataset and resizing images
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imageClasification/imageResize.py
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imageClasification/imageResize.py
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from PIL import Image
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import os
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import PIL
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import glob
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images = [file for file in os.listdir() if file.endswith(('jpeg', 'png', 'jpg'))]
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for image in images:
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img = Image.open(image)
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img.thumbnail((256,256))
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img.save(image, optimize=True, quality=60)
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imageClasification/imageScraper.py
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imageClasification/imageScraper.py
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import hashlib
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import io
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import os
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import time
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import requests
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from PIL import Image
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from selenium import webdriver
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# from selenium.webdriver.common.devtools.v100 import io
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DRIVER_PATH = './chromedriver.exe'
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def fetch_image_urls(query: str, max_links_to_fetch: int, wd: webdriver, sleep_between_interactions: int = 1):
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def scroll_to_end(wd):
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wd.execute_script("window.scrollTo(0, document.body.scrollHeight);")
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time.sleep(sleep_between_interactions)
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# build the google query
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search_url = "https://www.google.com/search?safe=off&site=&tbm=isch&source=hp&q={q}&oq={q}&gs_l=img"
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# load the page
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wd.get(search_url.format(q=query))
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image_urls = set()
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image_count = 0
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results_start = 0
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while image_count < max_links_to_fetch:
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scroll_to_end(wd)
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# get all image thumbnail results
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thumbnail_results = wd.find_elements_by_css_selector("img.Q4LuWd")
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number_results = len(thumbnail_results)
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print(f"Found: {number_results} search results. Extracting links from {results_start}:{number_results}")
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for img in thumbnail_results[results_start:number_results]:
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# try to click every thumbnail such that we can get the real image behind it
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try:
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img.click()
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time.sleep(sleep_between_interactions)
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except Exception:
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continue
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# extract image urls
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actual_images = wd.find_elements_by_css_selector('img.n3VNCb')
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for actual_image in actual_images:
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if actual_image.get_attribute('src') and 'http' in actual_image.get_attribute('src'):
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image_urls.add(actual_image.get_attribute('src'))
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image_count = len(image_urls)
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if len(image_urls) >= max_links_to_fetch:
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print(f"Found: {len(image_urls)} image links, done!")
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break
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else:
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print("Found:", len(image_urls), "image links, looking for more ...")
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# time.sleep(30)
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continue
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# return
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load_more_button = wd.find_element_by_css_selector(".mye4qd")
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if load_more_button:
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wd.execute_script("document.querySelector('.mye4qd').click();")
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# move the result startpoint further down
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results_start = len(thumbnail_results)
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return image_urls
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def persist_image(folder_path: str, url: str):
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try:
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image_content = requests.get(url).content
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except Exception as e:
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print(f"ERROR - Could not download {url} - {e}")
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try:
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image_file = io.BytesIO(image_content)
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image = Image.open(image_file).convert('RGB')
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file_path = os.path.join(folder_path, hashlib.sha1(image_content).hexdigest()[:10] + '.jpg')
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with open(file_path, 'wb') as f:
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image.save(f, "JPEG", quality=85)
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print(f"SUCCESS - saved {url} - as {file_path}")
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except Exception as e:
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print(f"ERROR - Could not save {url} - {e}")
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def search_and_download(search_term: str, driver_path: str, target_path='./images', number_images=200):
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target_folder = os.path.join(target_path, '_'.join(search_term.lower().split(' ')))
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if not os.path.exists(target_folder):
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os.makedirs(target_folder)
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with webdriver.Chrome(executable_path=driver_path) as wd:
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res = fetch_image_urls(search_term, number_images, wd=wd, sleep_between_interactions= 0.2)
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for elem in res:
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persist_image(target_folder, elem)
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search_term = 'cowss'
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search_and_download(
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search_term=search_term,
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driver_path=DRIVER_PATH
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)
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