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added experimental face type 'whole_face'

Browse source 
Basic usage instruction: https://i.imgur.com/w7LkId2.jpg

	'whole_face' requires skill in Adobe After Effects.

	For using whole_face you have to extract whole_face's by using
	4) data_src extract whole_face
	and
	5) data_dst extract whole_face
	Images will be extracted in 512 resolution, so they can be used for regular full_face's and half_face's.

	'whole_face' covers whole area of face include forehead in training square,
	but training mask is still 'full_face'
	therefore it requires manual final masking and composing in Adobe After Effects.

added option 'masked_training'
	This option is available only for 'whole_face' type.
	Default is ON.
	Masked training clips training area to full_face mask,
	thus network will train the faces properly.
	When the face is trained enough, disable this option to train all area of the frame.
	Merge with 'raw-rgb' mode, then use Adobe After Effects to manually mask, tune color, and compose whole face include forehead.
This commit is contained in:
Colombo 2020-02-21 16:21:04 +04:00
commit f1d115b63b
10 changed files with 74 additions and 58 deletions
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5
merger/MergerConfig.py
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@ -107,8 +107,6 @@ class MergerConfigMasked(MergerConfig):
def __init__(self, face_type=FaceType.FULL,
default_mode = 'overlay',
clip_hborder_mask_per = 0,
mode='overlay',
masked_hist_match=True,
hist_match_threshold = 238,
@ -128,11 +126,10 @@ class MergerConfigMasked(MergerConfig):
super().__init__(type=MergerConfig.TYPE_MASKED, **kwargs)
self.face_type = face_type
if self.face_type not in [FaceType.HALF, FaceType.MID_FULL, FaceType.FULL ]:
if self.face_type not in [FaceType.HALF, FaceType.MID_FULL, FaceType.FULL, FaceType.WHOLE_FACE ]:
raise ValueError("MergerConfigMasked does not support this type of face.")
self.default_mode = default_mode
self.clip_hborder_mask_per = clip_hborder_mask_per
#default changeable params
if mode not in mode_str_dict: