304 lines
11 KiB
Python
304 lines
11 KiB
Python
from typing import Any, List
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import cv2
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import insightface
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import threading
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import numpy as np
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import modules.globals
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import modules.processors.frame.core
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from modules.core import update_status
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from modules.face_analyser import get_one_face, get_many_faces, default_source_face
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from modules.typing import Face, Frame
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from modules.utilities import (
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conditional_download,
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is_image,
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is_video,
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)
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from modules.cluster_analysis import find_closest_centroid
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from modules.processors.frame.face_masking import (
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create_face_mask,
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create_lower_mouth_mask,
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create_eyes_mask,
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create_eyebrows_mask,
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apply_mask_area,
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draw_mask_visualization
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)
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import os
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FACE_SWAPPER = None
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THREAD_LOCK = threading.Lock()
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NAME = "DLC.FACE-SWAPPER"
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abs_dir = os.path.dirname(os.path.abspath(__file__))
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models_dir = os.path.join(
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os.path.dirname(os.path.dirname(os.path.dirname(abs_dir))), "models"
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)
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def pre_check() -> bool:
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download_directory_path = abs_dir
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conditional_download(
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download_directory_path,
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[
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"https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.onnx"
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],
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)
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return True
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def pre_start() -> bool:
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if not modules.globals.map_faces and not is_image(modules.globals.source_path):
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update_status("Select an image for source path.", NAME)
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return False
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elif not modules.globals.map_faces and not get_one_face(
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cv2.imread(modules.globals.source_path)
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):
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update_status("No face in source path detected.", NAME)
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return False
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if not is_image(modules.globals.target_path) and not is_video(
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modules.globals.target_path
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):
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update_status("Select an image or video for target path.", NAME)
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return False
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return True
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def get_face_swapper() -> Any:
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global FACE_SWAPPER
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with THREAD_LOCK:
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if FACE_SWAPPER is None:
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model_path = os.path.join(models_dir, "inswapper_128_fp16.onnx")
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FACE_SWAPPER = insightface.model_zoo.get_model(
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model_path, providers=modules.globals.execution_providers
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)
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return FACE_SWAPPER
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def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame:
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face_swapper = get_face_swapper()
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# Apply the face swap
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swapped_frame = face_swapper.get(
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temp_frame, target_face, source_face, paste_back=True
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)
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# Create face mask for both mouth and eyes masking
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face_mask = create_face_mask(target_face, temp_frame)
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if modules.globals.mouth_mask:
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# Create and apply mouth mask
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mouth_mask_data = create_lower_mouth_mask(target_face, temp_frame)
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swapped_frame = apply_mask_area(
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swapped_frame,
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mouth_mask_data[1], # mouth_cutout
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mouth_mask_data[2], # mouth_box
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face_mask,
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mouth_mask_data[3] # mouth_polygon
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)
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if modules.globals.show_mouth_mask_box:
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swapped_frame = draw_mask_visualization(
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swapped_frame,
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mouth_mask_data,
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"Lower Mouth Mask"
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)
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if modules.globals.eyes_mask:
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# Create and apply eyes mask
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eyes_mask_data = create_eyes_mask(target_face, temp_frame)
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swapped_frame = apply_mask_area(
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swapped_frame,
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eyes_mask_data[1], # eyes_cutout
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eyes_mask_data[2], # eyes_box
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face_mask,
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eyes_mask_data[3] # eyes_polygon
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)
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if modules.globals.show_eyes_mask_box:
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swapped_frame = draw_mask_visualization(
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swapped_frame,
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eyes_mask_data,
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"Eyes Mask",
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draw_method="ellipse"
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)
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if modules.globals.eyebrows_mask:
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# Create and apply eyebrows mask
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eyebrows_mask_data = create_eyebrows_mask(target_face, temp_frame)
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swapped_frame = apply_mask_area(
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swapped_frame,
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eyebrows_mask_data[1], # eyebrows_cutout
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eyebrows_mask_data[2], # eyebrows_box
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face_mask,
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eyebrows_mask_data[3] # eyebrows_polygon
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)
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if modules.globals.show_eyebrows_mask_box:
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swapped_frame = draw_mask_visualization(
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swapped_frame,
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eyebrows_mask_data,
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"Eyebrows Mask"
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)
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return swapped_frame
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def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
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if modules.globals.color_correction:
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temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
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if modules.globals.many_faces:
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many_faces = get_many_faces(temp_frame)
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if many_faces:
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for target_face in many_faces:
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temp_frame = swap_face(source_face, target_face, temp_frame)
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else:
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target_face = get_one_face(temp_frame)
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if target_face:
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temp_frame = swap_face(source_face, target_face, temp_frame)
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return temp_frame
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def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
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if is_image(modules.globals.target_path):
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if modules.globals.many_faces:
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source_face = default_source_face()
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for map in modules.globals.souce_target_map:
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target_face = map["target"]["face"]
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temp_frame = swap_face(source_face, target_face, temp_frame)
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elif not modules.globals.many_faces:
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for map in modules.globals.souce_target_map:
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if "source" in map:
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source_face = map["source"]["face"]
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target_face = map["target"]["face"]
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temp_frame = swap_face(source_face, target_face, temp_frame)
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elif is_video(modules.globals.target_path):
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if modules.globals.many_faces:
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source_face = default_source_face()
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for map in modules.globals.souce_target_map:
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target_frame = [
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f
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for f in map["target_faces_in_frame"]
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if f["location"] == temp_frame_path
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]
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for frame in target_frame:
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for target_face in frame["faces"]:
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temp_frame = swap_face(source_face, target_face, temp_frame)
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elif not modules.globals.many_faces:
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for map in modules.globals.souce_target_map:
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if "source" in map:
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target_frame = [
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f
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for f in map["target_faces_in_frame"]
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if f["location"] == temp_frame_path
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]
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source_face = map["source"]["face"]
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for frame in target_frame:
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for target_face in frame["faces"]:
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temp_frame = swap_face(source_face, target_face, temp_frame)
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else:
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detected_faces = get_many_faces(temp_frame)
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if modules.globals.many_faces:
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if detected_faces:
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source_face = default_source_face()
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for target_face in detected_faces:
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temp_frame = swap_face(source_face, target_face, temp_frame)
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elif not modules.globals.many_faces:
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if detected_faces:
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if len(detected_faces) <= len(
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modules.globals.simple_map["target_embeddings"]
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):
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for detected_face in detected_faces:
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closest_centroid_index, _ = find_closest_centroid(
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modules.globals.simple_map["target_embeddings"],
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detected_face.normed_embedding,
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)
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temp_frame = swap_face(
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modules.globals.simple_map["source_faces"][
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closest_centroid_index
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],
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detected_face,
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temp_frame,
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)
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else:
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detected_faces_centroids = []
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for face in detected_faces:
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detected_faces_centroids.append(face.normed_embedding)
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i = 0
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for target_embedding in modules.globals.simple_map[
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"target_embeddings"
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]:
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closest_centroid_index, _ = find_closest_centroid(
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detected_faces_centroids, target_embedding
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)
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temp_frame = swap_face(
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modules.globals.simple_map["source_faces"][i],
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detected_faces[closest_centroid_index],
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temp_frame,
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)
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i += 1
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return temp_frame
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def process_frames(
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source_path: str, temp_frame_paths: List[str], progress: Any = None
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) -> None:
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if not modules.globals.map_faces:
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source_face = get_one_face(cv2.imread(source_path))
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for temp_frame_path in temp_frame_paths:
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temp_frame = cv2.imread(temp_frame_path)
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try:
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result = process_frame(source_face, temp_frame)
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cv2.imwrite(temp_frame_path, result)
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except Exception as exception:
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print(exception)
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pass
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if progress:
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progress.update(1)
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else:
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for temp_frame_path in temp_frame_paths:
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temp_frame = cv2.imread(temp_frame_path)
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try:
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result = process_frame_v2(temp_frame, temp_frame_path)
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cv2.imwrite(temp_frame_path, result)
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except Exception as exception:
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print(exception)
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pass
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if progress:
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progress.update(1)
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def process_image(source_path: str, target_path: str, output_path: str) -> None:
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if not modules.globals.map_faces:
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source_face = get_one_face(cv2.imread(source_path))
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target_frame = cv2.imread(target_path)
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result = process_frame(source_face, target_frame)
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cv2.imwrite(output_path, result)
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else:
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if modules.globals.many_faces:
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update_status(
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"Many faces enabled. Using first source image. Progressing...", NAME
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)
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target_frame = cv2.imread(output_path)
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result = process_frame_v2(target_frame)
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cv2.imwrite(output_path, result)
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def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
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if modules.globals.map_faces and modules.globals.many_faces:
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update_status(
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"Many faces enabled. Using first source image. Progressing...", NAME
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)
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modules.processors.frame.core.process_video(
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source_path, temp_frame_paths, process_frames
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)
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