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Deep-Live-Cam
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Improve face swap FPS and blending, add profiling and config options

pull/1313/head
rehanbgmi 2025-05-26 15:17:31 +00:00
parent 5f2e54552c
commit 348e6c424e
1 changed files with 24 additions and 12 deletions
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36
modules/processors/frame/face_swapper.py
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@ -18,6 +18,12 @@ from modules.utilities import (
from modules.cluster_analysis import find_closest_centroid
import os
# --- CONFIGURABLE PARAMETERS FOR PERFORMANCE & BLENDING ---
BLEND_MASK_BLUR_KERNEL = (9, 9) # Larger kernel for smoother mask edges
BLEND_MASK_BLUR_SIGMA = 5 # Higher sigma for more feathering
SEAMLESS_CLONE_MODE = cv2.NORMAL_CLONE # Try cv2.MIXED_CLONE for different effect
PROFILE_FACE_SWAP = True # Set to True to enable timing logs
FACE_SWAPPER = None
THREAD_LOCK = threading.Lock()
NAME = "DLC.FACE-SWAPPER"
@ -62,8 +68,14 @@ def get_face_swapper() -> Any:
with THREAD_LOCK:
if FACE_SWAPPER is None:
model_path = os.path.join(models_dir, "inswapper_128_fp16.onnx")
# Prefer GPU if available
providers = modules.globals.execution_providers
if 'CUDAExecutionProvider' in providers:
chosen_providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
else:
chosen_providers = providers
FACE_SWAPPER = insightface.model_zoo.get_model(
model_path, providers=modules.globals.execution_providers
model_path, providers=chosen_providers
)
return FACE_SWAPPER
@ -118,20 +130,18 @@ def _blend_material_onto_frame(
Uses seamlessClone if possible, otherwise falls back to simple masking.
"""
x, y, w, h = cv2.boundingRect(mask_for_blending)
output_frame = base_frame # Start with base, will be modified by blending
output_frame = base_frame
if w > 0 and h > 0:
center = (x + w // 2, y + h // 2)
if material_to_blend.shape == base_frame.shape and \
material_to_blend.dtype == base_frame.dtype and \
mask_for_blending.dtype == np.uint8:
try:
# Important: seamlessClone modifies the first argument (dst) if it's the same as the output var
# So, if base_frame is final_swapped_frame, it will be modified in place.
# If we want to keep base_frame pristine, it should be base_frame.copy() if it's also final_swapped_frame.
# Given final_swapped_frame is already a copy of swapped_frame at this point, this is fine.
output_frame = cv2.seamlessClone(material_to_blend, base_frame, mask_for_blending, center, cv2.NORMAL_CLONE)
# Use configurable blur for mask
blurred_mask = cv2.GaussianBlur(mask_for_blending, BLEND_MASK_BLUR_KERNEL, BLEND_MASK_BLUR_SIGMA)
_, mask_bin = cv2.threshold(blurred_mask, 127, 255, cv2.THRESH_BINARY)
output_frame = cv2.seamlessClone(material_to_blend, base_frame, mask_bin, center, SEAMLESS_CLONE_MODE)
except cv2.error as e:
logging.warning(f"cv2.seamlessClone failed: {e}. Falling back to simple blending.")
boolean_mask = mask_for_blending > 127
@ -142,16 +152,15 @@ def _blend_material_onto_frame(
output_frame[boolean_mask] = material_to_blend[boolean_mask]
else:
logging.info("Warped mask for blending is empty. Skipping blending.")
return output_frame
def swap_face(source_face_obj: Face, target_face: Face, source_frame_full: Frame, temp_frame: Frame) -> Frame:
import time
face_swapper = get_face_swapper()
# Apply the base face swap
start_time = time.time() if PROFILE_FACE_SWAP else None
swapped_frame = face_swapper.get(temp_frame, target_face, source_face_obj, paste_back=True)
final_swapped_frame = swapped_frame # Initialize with the base swap. Copy is made only if needed.
final_swapped_frame = swapped_frame
if modules.globals.enable_hair_swapping:
if not (source_face_obj.kps is not None and \
@ -215,6 +224,9 @@ def swap_face(source_face_obj: Face, target_face: Face, source_frame_full: Frame
final_swapped_frame, target_face, mouth_mask_data
)
if PROFILE_FACE_SWAP:
elapsed = time.time() - start_time
logging.info(f"Face swap+blend time: {elapsed:.3f}s")
return final_swapped_frame