def align_face(self, faces, align_eyes, size, filename):
""" Align the detected face and add the destination file path """
final_faces = list()
image = faces["image"]
landmarks = faces["landmarks"]
detected_faces = faces["detected_faces"]
for idx, face in enumerate(detected_faces):
detected_face = DetectedFace()
detected_face.from_dlib_rect(face, image)
detected_face.landmarksXY = landmarks[idx]
detected_face.load_aligned(image, size=size, align_eyes=align_eyes)
final_faces.append({"file_location": self.output_dir / Path(filename).stem,
"face": detected_face})
faces["detected_faces"] = final_faces
def align_face(self, faces, align_eyes, size, filename):
""" Align the detected face and add the destination file path """
final_faces = list()
image = faces["image"]
landmarks = faces["landmarks"]
detected_faces = faces["detected_faces"]
for idx, face in enumerate(detected_faces):
detected_face = DetectedFace()
detected_face.from_bounding_box(face, image)
detected_face.landmarksXY = landmarks[idx]
detected_face.load_aligned(image, size=size, align_eyes=align_eyes)
final_faces.append({"file_location": self.output_dir / Path(filename).stem,
"face": detected_face})
faces["detected_faces"] = final_faces
def detect_faces(self, filename, image):
""" Extract the face from a frame (If alignments file not found) """
inp = {"filename": filename, "image": image}
self.extractor.input_queue.put(inp)
faces = next(self.extractor.detected_faces())
landmarks = faces["landmarks"]
detected_faces = faces["detected_faces"]
final_faces = list()
for idx, face in enumerate(detected_faces):
detected_face = DetectedFace()
detected_face.from_bounding_box(face)
detected_face.landmarksXY = landmarks[idx]
final_faces.append(detected_face)
return final_faces
def load_aligned_face(self):
""" Align the faces for vgg_face input """
for filename, face in self.filters.items():
logger.debug("Loading aligned face: '%s'", filename)
bounding_box = face["detected_faces"][0]
image = face["image"]
landmarks = face["landmarks"][0]
detected_face = DetectedFace()
detected_face.from_bounding_box_dict(bounding_box, image)
detected_face.landmarksXY = landmarks
detected_face.load_aligned(image, size=224)
face["face"] = detected_face.aligned_face
del face["image"]
logger.debug("Loaded aligned face: ('%s', shape: %s)", filename,
face["face"].shape)
def align_face(faces, align_eyes, size, padding=48):
""" Align the detected face """
final_faces = list()
image = faces["image"]
landmarks = faces["landmarks"]
detected_faces = faces["detected_faces"]
for idx, face in enumerate(detected_faces):
detected_face = DetectedFace()
detected_face.from_dlib_rect(face, image)
detected_face.landmarksXY = landmarks[idx]
detected_face.frame_dims = image.shape[:2]
detected_face.load_aligned(image,
size=size,
padding=padding,
align_eyes=align_eyes)
final_faces.append(detected_face)
faces["detected_faces"] = final_faces
def detect_faces(self, filename, image):
""" Extract the face from a frame (If alignments file not found) """
inp = {"filename": filename,
"image": image}
self.extractor.input_queue.put(inp)
faces = next(self.extractor.detected_faces())
landmarks = faces["landmarks"]
detected_faces = faces["detected_faces"]
final_faces = list()
for idx, face in enumerate(detected_faces):
detected_face = DetectedFace()
detected_face.from_bounding_box(face)
detected_face.landmarksXY = landmarks[idx]
final_faces.append(detected_face)
return final_faces
