changes
This commit is contained in:
parent
cae4f0f33a
commit
e88cc65b33
@ -3,7 +3,6 @@ from typing import List, Tuple
|
||||
|
||||
import cv2
|
||||
import numpy
|
||||
from cv2.typing import Size
|
||||
|
||||
import facefusion.jobs.job_manager
|
||||
import facefusion.jobs.job_store
|
||||
@ -44,6 +43,7 @@ MODEL_SET : ModelSet =\
|
||||
}
|
||||
},
|
||||
'template': 'arcface_128_v2',
|
||||
'size': (224, 224)
|
||||
}
|
||||
}
|
||||
|
||||
@ -64,12 +64,6 @@ def get_model_options() -> ModelOptions:
|
||||
return MODEL_SET.get(deep_swapper_model)
|
||||
|
||||
|
||||
def get_model_size() -> Size:
|
||||
deep_swapper = get_inference_pool().get('deep_swapper')
|
||||
model_size = deep_swapper.get_outputs()[-1].shape[1:3]
|
||||
return model_size
|
||||
|
||||
|
||||
def register_args(program : ArgumentParser) -> None:
|
||||
group_processors = find_argument_group(program, 'processors')
|
||||
if group_processors:
|
||||
@ -117,7 +111,7 @@ def post_process() -> None:
|
||||
|
||||
def swap_face(target_face : Face, temp_vision_frame : VisionFrame) -> VisionFrame:
|
||||
model_template = get_model_options().get('template')
|
||||
model_size = get_model_size()
|
||||
model_size = get_model_options().get('size')
|
||||
crop_vision_frame, affine_matrix = warp_face_by_face_landmark_5(temp_vision_frame, target_face.landmark_set.get('5/68'), model_template, model_size)
|
||||
crop_vision_frame_raw = crop_vision_frame.copy()
|
||||
box_mask = create_static_box_mask(crop_vision_frame.shape[:2][::-1], state_manager.get_item('face_mask_blur'), state_manager.get_item('face_mask_padding'))
|
||||
@ -171,7 +165,7 @@ def normalize_crop_frame(crop_vision_frame : VisionFrame) -> VisionFrame:
|
||||
|
||||
|
||||
def prepare_crop_mask(crop_source_mask : Mask, crop_target_mask : Mask) -> Mask:
|
||||
model_size = get_model_size()
|
||||
model_size = get_model_options().get('size')
|
||||
crop_mask = numpy.maximum.reduce([ crop_source_mask, crop_target_mask ])
|
||||
crop_mask = crop_mask.reshape(model_size).clip(0, 1)
|
||||
crop_mask = cv2.erode(crop_mask, numpy.ones((5, 5), numpy.uint8), iterations = 1)
|
||||
|
Loading…
Reference in New Issue
Block a user