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https://github.com/iperov/DeepFaceLive
synced 2025-07-11 15:47:02 -07:00
FaceAligner : added x/y offset
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parent
1acabe2171
commit
19677d9550
4 changed files with 91 additions and 34 deletions
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@ -37,6 +37,8 @@ class FaceAlignerWorker(BackendWorker):
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cs.face_coverage.call_on_number(self.on_cs_face_coverage)
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cs.resolution.call_on_number(self.on_cs_resolution)
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cs.exclude_moving_parts.call_on_flag(self.on_cs_exclude_moving_parts)
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cs.x_offset.call_on_number(self.on_cs_x_offset)
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cs.y_offset.call_on_number(self.on_cs_y_offset)
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cs.face_coverage.enable()
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cs.face_coverage.set_config(lib_csw.Number.Config(min=0.1, max=4.0, step=0.1, decimals=1, allow_instant_update=True))
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@ -47,9 +49,17 @@ class FaceAlignerWorker(BackendWorker):
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cs.resolution.set_number(state.resolution if state.resolution is not None else 224)
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cs.exclude_moving_parts.enable()
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cs.exclude_moving_parts.set_flag(state.exclude_moving_parts if state.exclude_moving_parts is not None else True)
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cs.x_offset.enable()
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cs.x_offset.set_config(lib_csw.Number.Config(min=-1, max=1, step=0.01, decimals=2, allow_instant_update=True))
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cs.x_offset.set_number(state.x_offset if state.x_offset is not None else 0)
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cs.y_offset.enable()
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cs.y_offset.set_config(lib_csw.Number.Config(min=-1, max=1, step=0.01, decimals=2, allow_instant_update=True))
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cs.y_offset.set_number(state.y_offset if state.y_offset is not None else 0)
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def on_cs_face_coverage(self, face_coverage):
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state, cs = self.get_state(), self.get_control_sheet()
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cfg = cs.face_coverage.get_config()
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@ -72,6 +82,22 @@ class FaceAlignerWorker(BackendWorker):
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self.save_state()
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self.reemit_frame_signal.send()
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def on_cs_x_offset(self, x_offset):
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state, cs = self.get_state(), self.get_control_sheet()
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cfg = cs.x_offset.get_config()
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x_offset = state.x_offset = float(np.clip(x_offset, cfg.min, cfg.max))
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cs.x_offset.set_number(x_offset)
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self.save_state()
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self.reemit_frame_signal.send()
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def on_cs_y_offset(self, y_offset):
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state, cs = self.get_state(), self.get_control_sheet()
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cfg = cs.y_offset.get_config()
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y_offset = state.y_offset = float(np.clip(y_offset, cfg.min, cfg.max))
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cs.y_offset.set_number(y_offset)
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self.save_state()
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self.reemit_frame_signal.send()
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def on_tick(self):
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state, cs = self.get_state(), self.get_control_sheet()
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@ -92,7 +118,10 @@ class FaceAlignerWorker(BackendWorker):
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face_ulmrks = face_mark.get_face_ulandmarks_by_type(FaceULandmarks.Type.LANDMARKS_2D_68)
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if face_ulmrks is not None:
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face_image, uni_mat = face_ulmrks.cut(frame_image, state.face_coverage, state.resolution, exclude_moving_parts=state.exclude_moving_parts)
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face_image, uni_mat = face_ulmrks.cut(frame_image, state.face_coverage, state.resolution,
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exclude_moving_parts=state.exclude_moving_parts,
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x_offset=state.x_offset,
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y_offset=state.y_offset)
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face_align_image_name = f'{frame_name}_{face_id}_aligned'
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@ -126,6 +155,8 @@ class Sheet:
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self.face_coverage = lib_csw.Number.Client()
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self.resolution = lib_csw.Number.Client()
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self.exclude_moving_parts = lib_csw.Flag.Client()
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self.x_offset = lib_csw.Number.Client()
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self.y_offset = lib_csw.Number.Client()
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class Worker(lib_csw.Sheet.Worker):
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def __init__(self):
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@ -133,8 +164,12 @@ class Sheet:
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self.face_coverage = lib_csw.Number.Host()
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self.resolution = lib_csw.Number.Host()
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self.exclude_moving_parts = lib_csw.Flag.Host()
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self.x_offset = lib_csw.Number.Host()
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self.y_offset = lib_csw.Number.Host()
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class WorkerState(BackendWorkerState):
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face_coverage : float = None
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resolution : int = None
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exclude_moving_parts : bool = None
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x_offset : float = None
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y_offset : float = None
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@ -24,6 +24,12 @@ class QFaceAligner(QBackendPanel):
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q_exclude_moving_parts_label = QLabelPopupInfo(label=L('@QFaceAligner.exclude_moving_parts'), popup_info_text=L('@QFaceAligner.help.exclude_moving_parts') )
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q_exclude_moving_parts = QCheckBoxCSWFlag(cs.exclude_moving_parts, reflect_state_widgets=[q_exclude_moving_parts_label])
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q_x_offset_label = QLabelPopupInfo(label=L('@QFaceAligner.x_offset'))
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q_x_offset = QSpinBoxCSWNumber(cs.x_offset, reflect_state_widgets=[q_x_offset_label])
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q_y_offset_label = QLabelPopupInfo(label=L('@QFaceAligner.y_offset'))
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q_y_offset = QSpinBoxCSWNumber(cs.y_offset, reflect_state_widgets=[q_y_offset_label])
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grid_l = lib_qt.QXGridLayout(spacing=5)
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row = 0
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grid_l.addWidget(q_face_coverage_label, row, 0, alignment=Qt.AlignmentFlag.AlignRight | Qt.AlignmentFlag.AlignVCenter )
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@ -35,6 +41,10 @@ class QFaceAligner(QBackendPanel):
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grid_l.addWidget(q_exclude_moving_parts_label, row, 0, alignment=Qt.AlignmentFlag.AlignRight | Qt.AlignmentFlag.AlignVCenter )
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grid_l.addWidget(q_exclude_moving_parts, row, 1, alignment=Qt.AlignmentFlag.AlignLeft )
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row += 1
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grid_l.addLayout( lib_qt.QXVBoxLayout([q_x_offset_label, q_y_offset_label]), row, 0, alignment=Qt.AlignmentFlag.AlignRight | Qt.AlignmentFlag.AlignVCenter )
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grid_l.addLayout( lib_qt.QXHBoxLayout([q_x_offset, q_y_offset]), row, 1, alignment=Qt.AlignmentFlag.AlignLeft )
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row += 1
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super().__init__(backend, L('@QFaceAligner.module_title'),
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layout=lib_qt.QXVBoxLayout([grid_l]))
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@ -337,6 +337,16 @@ class Localization:
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'ru-RU' : 'Улучшить стабилизацию исключением лицевых точек\nдвижущихся частей лица, таких как рот и других.',
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'zh-CN' : '通过排除面部移动部分(例如嘴巴和其他你懂的)的特征点来提高稳定性。'},
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'QFaceAligner.x_offset':{
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'en-US' : 'X offset',
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'ru-RU' : 'Смещение по X',
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'zh-CN' : 'X方向偏移'},
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'QFaceAligner.y_offset':{
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'en-US' : 'Y offset',
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'ru-RU' : 'Смещение по Y',
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'zh-CN' : 'Y方向偏移'},
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'QFaceMarker.module_title':{
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'en-US' : 'Face marker',
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'ru-RU' : 'Маркер лица',
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@ -93,18 +93,17 @@ class FaceULandmarks:
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return FaceULandmarks.create(type=self._type, ulmrks=ulmrks)
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def calc_cut(self, w_h, coverage : float, output_size : int, exclude_moving_parts : bool):
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def calc_cut(self, w_h, coverage : float, output_size : int, exclude_moving_parts : bool, x_offset : float = 0, y_offset : float = 0):
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"""
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Calculates affine mat for face cut.
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returns
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mat, matrix to transform img space to face_image space
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uni_mat matrix to transform uniform img space to uniform face_image space
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"""
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lmrks = (self._ulmrks * w_h ).astype(np.float32)
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ulmrks_count = self.get_count()
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type = self._type
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# estimate landmarks transform from global space to local aligned space with bounds [0..1]
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@ -136,10 +135,10 @@ class FaceULandmarks:
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mod = (1.0 / scale)* ( npla.norm(g_p[0]-g_p[2])*( coverage * 0.5) )
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# adjust vertical offset to cover more forehead
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vec = (g_p[0]-g_p[3]).astype(np.float32)
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vec_len = npla.norm(vec)
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vec /= vec_len
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g_c += vec*vec_len*0.08
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h_vec = (g_p[1]-g_p[0]).astype(np.float32)
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v_vec = (g_p[3]-g_p[0]).astype(np.float32)
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g_c += h_vec*x_offset + v_vec*(y_offset-0.08)
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l_t = np.array( [ g_c - tb_diag_vec*mod,
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g_c + bt_diag_vec*mod,
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@ -152,7 +151,7 @@ class FaceULandmarks:
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return mat, uni_mat
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def cut(self, img : np.ndarray, coverage : float, output_size : int, exclude_moving_parts=False) -> Tuple[Affine2DMat, Affine2DUniMat]:
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def cut(self, img : np.ndarray, coverage : float, output_size : int, exclude_moving_parts=False, x_offset : float = 0, y_offset : float = 0) -> Tuple[Affine2DMat, Affine2DUniMat]:
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"""
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Cut the face to square of output_size from img using landmarks with given parameters
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@ -166,12 +165,15 @@ class FaceULandmarks:
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exclude_moving_parts(False) exclude moving parts of the face, such as eyebrows and jaw
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v_offset
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h_offset float uniform h/v offset
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returns face_image,
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uni_mat uniform affine matrix to transform uniform img space to uniform face_image space
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"""
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h,w = img.shape[0:2]
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mat, uni_mat = self.calc_cut( (w,h), coverage, output_size, exclude_moving_parts)
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mat, uni_mat = self.calc_cut( (w,h), coverage, output_size, exclude_moving_parts, x_offset=x_offset, y_offset=y_offset)
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face_image = cv2.warpAffine(img, mat, (output_size, output_size), cv2.INTER_CUBIC )
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return face_image, uni_mat
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