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change in xseg apply and fetch

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iperov 2021-03-24 13:42:57 +04:00
parent b7245d888b
commit 1652bffeb0
1 changed files with 51 additions and 14 deletions
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65
mainscripts/XSegUtil.py
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@ -10,7 +10,7 @@ from core.cv2ex import *
from core.interact import interact as io
from core.leras import nn
from DFLIMG import *
from facelib import XSegNet
from facelib import XSegNet, LandmarksProcessor, FaceType
def apply_xseg(input_path, model_path):
@ -19,7 +19,16 @@ def apply_xseg(input_path, model_path):
if not model_path.exists():
raise ValueError(f'{model_path} not found. Please ensure it exists.')
face_type = io.input_str ("XSeg model face type", 'same', ['h','mf','f','wf','head','same'], help_message="Specify face type of trained XSeg model. For example if XSeg model trained as WF, but faceset is HEAD, specify WF to apply xseg only on WF part of HEAD. Default is 'same'").lower()
if face_type == 'same':
face_type = None
else:
face_type = {'h' : FaceType.HALF,
'mf' : FaceType.MID_FULL,
'f' : FaceType.FULL,
'wf' : FaceType.WHOLE_FACE,
'head' : FaceType.HEAD}[face_type]
io.log_info(f'Applying trained XSeg model to {input_path.name}/ folder.')
device_config = nn.DeviceConfig.ask_choose_device(choose_only_one=True)
@ -30,7 +39,7 @@ def apply_xseg(input_path, model_path):
weights_file_root=model_path,
data_format=nn.data_format,
raise_on_no_model_files=True)
res = xseg.get_resolution()
xseg_res = xseg.get_resolution()
images_paths = pathex.get_image_paths(input_path, return_Path_class=True)
@ -42,15 +51,36 @@ def apply_xseg(input_path, model_path):
img = cv2_imread(filepath).astype(np.float32) / 255.0
h,w,c = img.shape
if w != res:
img = cv2.resize( img, (res,res), interpolation=cv2.INTER_CUBIC )
if len(img.shape) == 2:
img = img[...,None]
mask = xseg.extract(img)
mask[mask < 0.5]=0
mask[mask >= 0.5]=1
img_face_type = FaceType.fromString( dflimg.get_face_type() )
if face_type is not None and img_face_type != face_type:
lmrks = dflimg.get_source_landmarks()
fmat = LandmarksProcessor.get_transform_mat(lmrks, w, face_type)
imat = LandmarksProcessor.get_transform_mat(lmrks, w, img_face_type)
g_p = LandmarksProcessor.transform_points (np.float32([(0,0),(w,0),(0,w) ]), fmat, True)
g_p2 = LandmarksProcessor.transform_points (g_p, imat)
mat = cv2.getAffineTransform( g_p2, np.float32([(0,0),(w,0),(0,w) ]) )
img = cv2.warpAffine(img, mat, (w, w), cv2.INTER_LANCZOS4)
img = cv2.resize(img, (xseg_res, xseg_res), interpolation=cv2.INTER_LANCZOS4)
else:
if w != xseg_res:
img = cv2.resize( img, (xseg_res,xseg_res), interpolation=cv2.INTER_LANCZOS4 )
if len(img.shape) == 2:
img = img[...,None]
mask = xseg.extract(img)
if face_type is not None and img_face_type != face_type:
mask = cv2.resize(mask, (w, w), interpolation=cv2.INTER_LANCZOS4)
mask = cv2.warpAffine( mask, mat, (w,w), np.zeros( (h,w,c), dtype=np.float), cv2.WARP_INVERSE_MAP | cv2.INTER_LANCZOS4)
mask = cv2.resize(mask, (xseg_res, xseg_res), interpolation=cv2.INTER_LANCZOS4)
mask[mask < 0.5]=0
mask[mask >= 0.5]=1
dflimg.set_xseg_mask(mask)
dflimg.save()
@ -67,7 +97,8 @@ def fetch_xseg(input_path):
images_paths = pathex.get_image_paths(input_path, return_Path_class=True)
files_copied = 0
files_copied = []
for filepath in io.progress_bar_generator(images_paths, "Processing"):
dflimg = DFLIMG.load(filepath)
if dflimg is None or not dflimg.has_data():
@ -77,10 +108,16 @@ def fetch_xseg(input_path):
ie_polys = dflimg.get_seg_ie_polys()
if ie_polys.has_polys():
files_copied += 1
files_copied.append(filepath)
shutil.copy ( str(filepath), str(output_path / filepath.name) )
io.log_info(f'Files copied: {files_copied}')
io.log_info(f'Files copied: {len(files_copied)}')
is_delete = io.input_bool (f"\r\nDelete original files?", True)
if is_delete:
for filepath in files_copied:
Path(filepath).unlink()
def remove_xseg(input_path):
if not input_path.exists():