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DeepFakeMask.py
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DeepFakeMask.py
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#!/usr/bin/python
# -*- coding: UTF-8 -*-
# Created by: algohunt
# Microsoft Research & Peking University
# lilingzhi@pku.edu.cn
# Copyright (c) 2019
#!/usr/bin/env python3
""" Masks functions for faceswap.py """
import inspect
import logging
import sys
import cv2
import numpy as np
logger = logging.getLogger(__name__) # pylint: disable=invalid-name
def get_available_masks():
""" Return a list of the available masks for cli """
masks = sorted([name for name, obj in inspect.getmembers(sys.modules[__name__])
if inspect.isclass(obj) and name != "Mask"])
masks.append("none")
logger.debug(masks)
return masks
def get_default_mask():
""" Set the default mask for cli """
masks = get_available_masks()
default = "dfl_full"
default = default if default in masks else masks[0]
logger.debug(default)
return default
class Mask():
""" Parent class for masks
the output mask will be <mask_type>.mask
channels: 1, 3 or 4:
1 - Returns a single channel mask
3 - Returns a 3 channel mask
4 - Returns the original image with the mask in the alpha channel """
def __init__(self, landmarks, face, channels=4):
logger.info("Initializing %s: (face_shape: %s, channels: %s, landmarks: %s)",
self.__class__.__name__, face.shape, channels, landmarks)
self.landmarks = landmarks
self.face = face
self.channels = channels
mask = self.build_mask()
self.mask = self.merge_mask(mask)
logger.info("Initialized %s", self.__class__.__name__)
def build_mask(self):
""" Override to build the mask """
raise NotImplementedError
def merge_mask(self, mask):
""" Return the mask in requested shape """
logger.info("mask_shape: %s", mask.shape)
assert self.channels in (1, 3, 4), "Channels should be 1, 3 or 4"
assert mask.shape[2] == 1 and mask.ndim == 3, "Input mask be 3 dimensions with 1 channel"
if self.channels == 3:
retval = np.tile(mask, 3)
elif self.channels == 4:
retval = np.concatenate((self.face, mask), -1)
else:
retval = mask
logger.info("Final mask shape: %s", retval.shape)
return retval
class dfl_full(Mask): # pylint: disable=invalid-name
""" DFL facial mask """
def build_mask(self):
mask = np.zeros(self.face.shape[0:2] + (1, ), dtype=np.float32)
nose_ridge = (self.landmarks[27:31], self.landmarks[33:34])
jaw = (self.landmarks[0:17],
self.landmarks[48:68],
self.landmarks[0:1],
self.landmarks[8:9],
self.landmarks[16:17])
eyes = (self.landmarks[17:27],
self.landmarks[0:1],
self.landmarks[27:28],
self.landmarks[16:17],
self.landmarks[33:34])
parts = [jaw, nose_ridge, eyes]
for item in parts:
merged = np.concatenate(item)
cv2.fillConvexPoly(mask, cv2.convexHull(merged), 255.) # pylint: disable=no-member
return mask
class components(Mask): # pylint: disable=invalid-name
""" Component model mask """
def build_mask(self):
mask = np.zeros(self.face.shape[0:2] + (1, ), dtype=np.float32)
r_jaw = (self.landmarks[0:9], self.landmarks[17:18])
l_jaw = (self.landmarks[8:17], self.landmarks[26:27])
r_cheek = (self.landmarks[17:20], self.landmarks[8:9])
l_cheek = (self.landmarks[24:27], self.landmarks[8:9])
nose_ridge = (self.landmarks[19:25], self.landmarks[8:9],)
r_eye = (self.landmarks[17:22],
self.landmarks[27:28],
self.landmarks[31:36],
self.landmarks[8:9])
l_eye = (self.landmarks[22:27],
self.landmarks[27:28],
self.landmarks[31:36],
self.landmarks[8:9])
nose = (self.landmarks[27:31], self.landmarks[31:36])
parts = [r_jaw, l_jaw, r_cheek, l_cheek, nose_ridge, r_eye, l_eye, nose]
for item in parts:
merged = np.concatenate(item)
cv2.fillConvexPoly(mask, cv2.convexHull(merged), 255.) # pylint: disable=no-member
return mask
class extended(Mask): # pylint: disable=invalid-name
""" Extended mask
Based on components mask. Attempts to extend the eyebrow points up the forehead
"""
def build_mask(self):
mask = np.zeros(self.face.shape[0:2] + (1, ), dtype=np.float32)
landmarks = self.landmarks.copy()
# mid points between the side of face and eye point
ml_pnt = (landmarks[36] + landmarks[0]) // 2
mr_pnt = (landmarks[16] + landmarks[45]) // 2
# mid points between the mid points and eye
ql_pnt = (landmarks[36] + ml_pnt) // 2
qr_pnt = (landmarks[45] + mr_pnt) // 2
# Top of the eye arrays
bot_l = np.array((ql_pnt, landmarks[36], landmarks[37], landmarks[38], landmarks[39]))
bot_r = np.array((landmarks[42], landmarks[43], landmarks[44], landmarks[45], qr_pnt))
# Eyebrow arrays
top_l = landmarks[17:22]
top_r = landmarks[22:27]
# Adjust eyebrow arrays
landmarks[17:22] = top_l + ((top_l - bot_l) // 2)
landmarks[22:27] = top_r + ((top_r - bot_r) // 2)
r_jaw = (landmarks[0:9], landmarks[17:18])
l_jaw = (landmarks[8:17], landmarks[26:27])
r_cheek = (landmarks[17:20], landmarks[8:9])
l_cheek = (landmarks[24:27], landmarks[8:9])
nose_ridge = (landmarks[19:25], landmarks[8:9],)
r_eye = (landmarks[17:22], landmarks[27:28], landmarks[31:36], landmarks[8:9])
l_eye = (landmarks[22:27], landmarks[27:28], landmarks[31:36], landmarks[8:9])
nose = (landmarks[27:31], landmarks[31:36])
parts = [r_jaw, l_jaw, r_cheek, l_cheek, nose_ridge, r_eye, l_eye, nose]
for item in parts:
merged = np.concatenate(item)
cv2.fillConvexPoly(mask, cv2.convexHull(merged), 255.) # pylint: disable=no-member
return mask
class facehull(Mask): # pylint: disable=invalid-name
""" Basic face hull mask """
def build_mask(self):
mask = np.zeros(self.face.shape[0:2] + (1, ), dtype=np.float32)
hull = cv2.convexHull( # pylint: disable=no-member
np.array(self.landmarks).reshape((-1, 2)))
cv2.fillConvexPoly(mask, hull, 255.0, lineType=cv2.LINE_AA) # pylint: disable=no-member
return mask