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Merge pull request #566 from pereiraroland26/main

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Added support for multiple faces
This commit is contained in:
Kenneth Estanislao
2024-09-10 23:35:19 +08:00
parent a11ccf9c49
commit 5d450b4352
8 changed files with 974 additions and 324 deletions
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modules/processors/frame/face_swapper.py
+105 -46
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@@ -2,68 +2,58 @@ from typing import Any, List
import cv2
import insightface
import threading
import os
import modules.globals
import modules.processors.frame.core
from modules.core import update_status
from modules.face_analyser import get_one_face, get_many_faces
from modules.face_analyser import get_one_face, get_many_faces, default_source_face
from modules.typing import Face, Frame
from modules.utilities import conditional_download, resolve_relative_path, is_image, is_video
import numpy as np
from modules.cluster_analysis import find_closest_centroid
FACE_SWAPPER = None
THREAD_LOCK = threading.Lock()
NAME = 'DLC.FACE-SWAPPER'
def pre_check() -> bool:
download_directory_path = resolve_relative_path('../models')
conditional_download(download_directory_path, [
'https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx'
])
conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.onnx'])
return True
def pre_start() -> bool:
if not is_image(modules.globals.source_path):
if not modules.globals.map_faces and not is_image(modules.globals.source_path):
update_status('Select an image for source path.', NAME)
return False
elif not get_one_face(cv2.imread(modules.globals.source_path)):
update_status('No face detected in the source path.', NAME)
elif not modules.globals.map_faces and not get_one_face(cv2.imread(modules.globals.source_path)):
update_status('No face in source path detected.', NAME)
return False
if not is_image(modules.globals.target_path) and not is_video(modules.globals.target_path):
update_status('Select an image or video for target path.', NAME)
return False
return True
def get_face_swapper() -> Any:
global FACE_SWAPPER
with THREAD_LOCK:
if FACE_SWAPPER is None:
model_path = resolve_relative_path('../models/inswapper_128.onnx')
model_path = resolve_relative_path('../models/inswapper_128_fp16.onnx')
FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers)
return FACE_SWAPPER
def upscale_image(image: np.ndarray, scaling_factor: int = modules.globals.source_image_scaling_factor) -> np.ndarray:
"""
Upscales the given image by the specified scaling factor.
Args:
image (np.ndarray): The input image to upscale.
scaling_factor (int): The factor by which to upscale the image.
Returns:
np.ndarray: The upscaled image.
"""
height, width = image.shape[:2]
new_size = (width * scaling_factor, height * scaling_factor)
upscaled_image = cv2.resize(image, new_size, interpolation=cv2.INTER_CUBIC)
return upscaled_image
def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame:
return get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True)
def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
# Ensure the frame is in RGB format if color correction is enabled
if modules.globals.color_correction:
temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
if modules.globals.many_faces:
many_faces = get_many_faces(temp_frame)
if many_faces:
@@ -75,30 +65,99 @@ def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
temp_frame = swap_face(source_face, target_face, temp_frame)
return temp_frame
def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None:
source_image = cv2.imread(source_path)
if source_image is None:
print(f"Failed to load source image from {source_path}")
return
# Upscale the source image for better quality
source_image_upscaled = upscale_image(source_image, scaling_factor=2)
source_face = get_one_face(source_image_upscaled)
for temp_frame_path in temp_frame_paths:
temp_frame = cv2.imread(temp_frame_path)
try:
result = process_frame(source_face, temp_frame)
cv2.imwrite(temp_frame_path, result)
except Exception as exception:
print(f"Error processing frame {temp_frame_path}: {exception}")
if progress:
progress.update(1)
def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
if is_image(modules.globals.target_path):
if modules.globals.many_faces:
source_face = default_source_face()
for map in modules.globals.souce_target_map:
target_face = map['target']['face']
temp_frame = swap_face(source_face, target_face, temp_frame)
elif not modules.globals.many_faces:
for map in modules.globals.souce_target_map:
if "source" in map:
source_face = map['source']['face']
target_face = map['target']['face']
temp_frame = swap_face(source_face, target_face, temp_frame)
elif is_video(modules.globals.target_path):
if modules.globals.many_faces:
source_face = default_source_face()
for map in modules.globals.souce_target_map:
target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path]
for frame in target_frame:
for target_face in frame['faces']:
temp_frame = swap_face(source_face, target_face, temp_frame)
elif not modules.globals.many_faces:
for map in modules.globals.souce_target_map:
if "source" in map:
target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path]
source_face = map['source']['face']
for frame in target_frame:
for target_face in frame['faces']:
temp_frame = swap_face(source_face, target_face, temp_frame)
else:
many_faces = get_many_faces(temp_frame)
if modules.globals.many_faces:
source_face = default_source_face()
if many_faces:
for target_face in many_faces:
temp_frame = swap_face(source_face, target_face, temp_frame)
elif not modules.globals.many_faces:
if many_faces:
for target_face in many_faces:
closest_centroid_index, _ = find_closest_centroid(modules.globals.simple_map['target_embeddings'], target_face.normed_embedding)
temp_frame = swap_face(modules.globals.simple_map['source_faces'][closest_centroid_index], target_face, temp_frame)
return temp_frame
def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None:
if not modules.globals.map_faces:
source_face = get_one_face(cv2.imread(source_path))
for temp_frame_path in temp_frame_paths:
temp_frame = cv2.imread(temp_frame_path)
try:
result = process_frame(source_face, temp_frame)
cv2.imwrite(temp_frame_path, result)
except Exception as exception:
print(exception)
pass
if progress:
progress.update(1)
else:
for temp_frame_path in temp_frame_paths:
temp_frame = cv2.imread(temp_frame_path)
try:
result = process_frame_v2(temp_frame, temp_frame_path)
cv2.imwrite(temp_frame_path, result)
except Exception as exception:
print(exception)
pass
if progress:
progress.update(1)
def process_image(source_path: str, target_path: str, output_path: str) -> None:
source_face = get_one_face(cv2.imread(source_path))
target_frame = cv2.imread(target_path)
result = process_frame(source_face, target_frame)
cv2.imwrite(output_path, result)
if not modules.globals.map_faces:
source_face = get_one_face(cv2.imread(source_path))
target_frame = cv2.imread(target_path)
result = process_frame(source_face, target_frame)
cv2.imwrite(output_path, result)
else:
if modules.globals.many_faces:
update_status('Many faces enabled. Using first source image. Progressing...', NAME)
target_frame = cv2.imread(output_path)
result = process_frame_v2(target_frame)
cv2.imwrite(output_path, result)
def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
if modules.globals.map_faces and modules.globals.many_faces:
update_status('Many faces enabled. Using first source image. Progressing...', NAME)
modules.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)