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Consolidate image preparation pipeline
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import os
import requests
import concurrent.futures
# Load environment variables from .env file
from dotenv import load_dotenv
load_dotenv()
API_KEY = os.getenv('PHOTOROOM_API_KEY')
def process_image(input_image_path, output_image_path):
try:
url = "https://sdk.photoroom.com/v1/segment"
with open(input_image_path, 'rb') as image_file:
files = { "image_file": image_file }
headers = {
"Accept": "image/png, application/json",
"pr-background-removal-model-version": "2024-09-26",
"x-api-key": API_KEY
}
response = requests.post(url, files=files, headers=headers)
response.raise_for_status()
with open(output_image_path, 'wb') as f:
f.write(response.content)
print(f"Image downloaded and saved to {output_image_path}")
except requests.RequestException as e:
print(f"Error: {str(e)} ({input_image_path})")
return str(e)
def iterate_over_directory(directory_path, result_directory):
with concurrent.futures.ThreadPoolExecutor(max_workers=16) as executor:
for root, _, files in os.walk(directory_path):
for file in files:
if file.lower().endswith(('.png', '.jpg', '.jpeg', '.webp', '.heic')):
file_path = os.path.join(root, file)
result_file_name = os.path.splitext(os.path.basename(file_path))[0] + '.png'
result_file_directory = os.path.join(result_directory)
if not os.path.exists(result_file_directory):
os.makedirs(result_file_directory)
result_path = os.path.join(result_file_directory, result_file_name)
if not os.path.exists(result_path): # don't re-process images
executor.submit(process_image, file_path, result_path)
if __name__ == "__main__":
INPUT_DIRECTORY = "../original-images/"
OUTPUT_DIRECTORY = "../result-photoroom/"
if not os.path.exists(OUTPUT_DIRECTORY):
os.makedirs(OUTPUT_DIRECTORY)
iterate_over_directory(directory_path=INPUT_DIRECTORY, result_directory=OUTPUT_DIRECTORY)