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- import json
- from pathlib import Path
- import numpy as np
- from PIL import Image
- from tqdm import tqdm
- def load_np_image(image_path):
- image = Image.open(image_path).convert('RGB')
- np_image = np.array(image)
- return np_image
- def save_np_image(image, image_path):
- pil_image = Image.fromarray((image).astype(np.uint8), mode='RGB')
- pil_image.save(image_path)
- def save_detections(detections, detections_path):
- json_output = []
- for box in detections:
- json_output.append({
- 'y_min': box.y_min,
- 'x_min': box.x_min,
- 'y_max': box.y_max,
- 'x_max': box.x_max,
- 'score': box.score,
- 'kind': box.kind
- })
- with open(detections_path, 'w') as output_file:
- json.dump(json_output, output_file, indent=2)
- class Anonymizer:
- def __init__(self, detectors, obfuscator):
- self.detectors = detectors
- self.obfuscator = obfuscator
- def anonymize_image(self, image, detection_thresholds):
- assert set(self.detectors.keys()) == set(detection_thresholds.keys()),\
- 'Detector names must match detection threshold names'
- detected_boxes = []
- for kind, detector in self.detectors.items():
- new_boxes = detector.detect(image, detection_threshold=detection_thresholds[kind])
- detected_boxes.extend(new_boxes)
- return self.obfuscator.obfuscate(image, detected_boxes), detected_boxes
- def anonymize_images(self, input_path, output_path, detection_thresholds, file_types, write_json):
- print(f'Anonymizing images in {input_path} and saving the anonymized images to {output_path}...')
- Path(output_path).mkdir(exist_ok=True)
- assert Path(output_path).is_dir(), 'Output path must be a directory'
- files = []
- for file_type in file_types:
- files.extend(list(Path(input_path).glob(f'**/*.{file_type}')))
- for input_image_path in tqdm(files):
- # Create output directory
- relative_path = input_image_path.relative_to(input_path)
- (Path(output_path) / relative_path.parent).mkdir(exist_ok=True, parents=True)
- output_image_path = Path(output_path) / relative_path
- output_detections_path = (Path(output_path) / relative_path).with_suffix('.json')
- # Anonymize image
- image = load_np_image(str(input_image_path))
- anonymized_image, detections = self.anonymize_image(image=image, detection_thresholds=detection_thresholds)
- save_np_image(image=anonymized_image, image_path=str(output_image_path))
- if write_json:
- save_detections(detections=detections, detections_path=str(output_detections_path))
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