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60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
"""Functions for detecting and cropping faces"""
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import numpy as np
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from imaginairy.enhancers.face_restoration_codeformer import face_restore_helper
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from imaginairy.roi_utils import resize_roi_coordinates, square_roi_coordinate
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def detect_faces(img):
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face_helper = face_restore_helper()
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face_helper.clean_all()
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image = img.convert("RGB")
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np_img = np.array(image, dtype=np.uint8)
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# rotate to BGR
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np_img = np_img[:, :, ::-1]
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face_helper.read_image(np_img)
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face_helper.get_face_landmarks_5(
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only_center_face=False, resize=640, eye_dist_threshold=5
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)
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face_helper.align_warp_face()
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faceboxes = []
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for x1, y1, x2, y2, scaling in face_helper.det_faces:
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# x1, y1, x2, y2 = x1 * scaling, y1 * scaling, x2 * scaling, y2 * scaling
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faceboxes.append((x1, y1, x2, y2))
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return faceboxes
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def generate_face_crops(face_roi, max_width, max_height):
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"""Returns bounding boxes at various zoom levels for faces in the image."""
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crops = []
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squared_roi = square_roi_coordinate(face_roi, max_width, max_height)
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crops.append(resize_roi_coordinates(squared_roi, 1.1, max_width, max_height))
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# 1.6 generally enough to capture entire face
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base_expanded_roi = resize_roi_coordinates(squared_roi, 1.6, max_width, max_height)
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crops.append(base_expanded_roi)
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current_width = base_expanded_roi[2] - base_expanded_roi[0]
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# some zoomed out variations
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for n in range(2):
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factor = 1.25 + 0.4 * n
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expanded_roi = resize_roi_coordinates(
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base_expanded_roi, factor, max_width, max_height, expand_up=False
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)
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new_width = expanded_roi[2] - expanded_roi[0]
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if new_width <= current_width * 1.1:
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# if the zoomed out size isn't suffienctly larger (because there is nowhere to zoom out to), stop
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break
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crops.append(expanded_roi)
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current_width = new_width
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return crops
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