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# Copyright 2023 The MediaPipe Authors. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
"""MediaPipe face landmarker task.""" | |
import dataclasses | |
import enum | |
from typing import Callable, Mapping, Optional, List | |
import numpy as np | |
from mediapipe.framework.formats import classification_pb2 | |
from mediapipe.framework.formats import landmark_pb2 | |
from mediapipe.framework.formats import matrix_data_pb2 | |
from mediapipe.python import packet_creator | |
from mediapipe.python import packet_getter | |
from mediapipe.python._framework_bindings import image as image_module | |
from mediapipe.python._framework_bindings import packet as packet_module | |
# pylint: disable=unused-import | |
from mediapipe.tasks.cc.vision.face_geometry.proto import face_geometry_pb2 | |
# pylint: enable=unused-import | |
from mediapipe.tasks.cc.vision.face_landmarker.proto import face_landmarker_graph_options_pb2 | |
from mediapipe.tasks.python.components.containers import category as category_module | |
from mediapipe.tasks.python.components.containers import landmark as landmark_module | |
from mediapipe.tasks.python.core import base_options as base_options_module | |
from mediapipe.tasks.python.core import task_info as task_info_module | |
from mediapipe.tasks.python.core.optional_dependencies import doc_controls | |
from mediapipe.tasks.python.vision.core import base_vision_task_api | |
from mediapipe.tasks.python.vision.core import image_processing_options as image_processing_options_module | |
from mediapipe.tasks.python.vision.core import vision_task_running_mode as running_mode_module | |
_BaseOptions = base_options_module.BaseOptions | |
_FaceLandmarkerGraphOptionsProto = ( | |
face_landmarker_graph_options_pb2.FaceLandmarkerGraphOptions | |
) | |
_LayoutEnum = matrix_data_pb2.MatrixData.Layout | |
_RunningMode = running_mode_module.VisionTaskRunningMode | |
_ImageProcessingOptions = image_processing_options_module.ImageProcessingOptions | |
_TaskInfo = task_info_module.TaskInfo | |
_IMAGE_IN_STREAM_NAME = 'image_in' | |
_IMAGE_OUT_STREAM_NAME = 'image_out' | |
_IMAGE_TAG = 'IMAGE' | |
_NORM_RECT_STREAM_NAME = 'norm_rect_in' | |
_NORM_RECT_TAG = 'NORM_RECT' | |
_NORM_LANDMARKS_STREAM_NAME = 'norm_landmarks' | |
_NORM_LANDMARKS_TAG = 'NORM_LANDMARKS' | |
_BLENDSHAPES_STREAM_NAME = 'blendshapes' | |
_BLENDSHAPES_TAG = 'BLENDSHAPES' | |
_FACE_GEOMETRY_STREAM_NAME = 'face_geometry' | |
_FACE_GEOMETRY_TAG = 'FACE_GEOMETRY' | |
_TASK_GRAPH_NAME = 'mediapipe.tasks.vision.face_landmarker.FaceLandmarkerGraph' | |
_MICRO_SECONDS_PER_MILLISECOND = 1000 | |
class Blendshapes(enum.IntEnum): | |
"""The 52 blendshape coefficients.""" | |
NEUTRAL = 0 | |
BROW_DOWN_LEFT = 1 | |
BROW_DOWN_RIGHT = 2 | |
BROW_INNER_UP = 3 | |
BROW_OUTER_UP_LEFT = 4 | |
BROW_OUTER_UP_RIGHT = 5 | |
CHEEK_PUFF = 6 | |
CHEEK_SQUINT_LEFT = 7 | |
CHEEK_SQUINT_RIGHT = 8 | |
EYE_BLINK_LEFT = 9 | |
EYE_BLINK_RIGHT = 10 | |
EYE_LOOK_DOWN_LEFT = 11 | |
EYE_LOOK_DOWN_RIGHT = 12 | |
EYE_LOOK_IN_LEFT = 13 | |
EYE_LOOK_IN_RIGHT = 14 | |
EYE_LOOK_OUT_LEFT = 15 | |
EYE_LOOK_OUT_RIGHT = 16 | |
EYE_LOOK_UP_LEFT = 17 | |
EYE_LOOK_UP_RIGHT = 18 | |
EYE_SQUINT_LEFT = 19 | |
EYE_SQUINT_RIGHT = 20 | |
EYE_WIDE_LEFT = 21 | |
EYE_WIDE_RIGHT = 22 | |
JAW_FORWARD = 23 | |
JAW_LEFT = 24 | |
JAW_OPEN = 25 | |
JAW_RIGHT = 26 | |
MOUTH_CLOSE = 27 | |
MOUTH_DIMPLE_LEFT = 28 | |
MOUTH_DIMPLE_RIGHT = 29 | |
MOUTH_FROWN_LEFT = 30 | |
MOUTH_FROWN_RIGHT = 31 | |
MOUTH_FUNNEL = 32 | |
MOUTH_LEFT = 33 | |
MOUTH_LOWER_DOWN_LEFT = 34 | |
MOUTH_LOWER_DOWN_RIGHT = 35 | |
MOUTH_PRESS_LEFT = 36 | |
MOUTH_PRESS_RIGHT = 37 | |
MOUTH_PUCKER = 38 | |
MOUTH_RIGHT = 39 | |
MOUTH_ROLL_LOWER = 40 | |
MOUTH_ROLL_UPPER = 41 | |
MOUTH_SHRUG_LOWER = 42 | |
MOUTH_SHRUG_UPPER = 43 | |
MOUTH_SMILE_LEFT = 44 | |
MOUTH_SMILE_RIGHT = 45 | |
MOUTH_STRETCH_LEFT = 46 | |
MOUTH_STRETCH_RIGHT = 47 | |
MOUTH_UPPER_UP_LEFT = 48 | |
MOUTH_UPPER_UP_RIGHT = 49 | |
NOSE_SNEER_LEFT = 50 | |
NOSE_SNEER_RIGHT = 51 | |
class FaceLandmarksConnections: | |
"""The connections between face landmarks.""" | |
class Connection: | |
"""The connection class for face landmarks.""" | |
start: int | |
end: int | |
FACE_LANDMARKS_LIPS: List[Connection] = [ | |
Connection(61, 146), | |
Connection(146, 91), | |
Connection(91, 181), | |
Connection(181, 84), | |
Connection(84, 17), | |
Connection(17, 314), | |
Connection(314, 405), | |
Connection(405, 321), | |
Connection(321, 375), | |
Connection(375, 291), | |
Connection(61, 185), | |
Connection(185, 40), | |
Connection(40, 39), | |
Connection(39, 37), | |
Connection(37, 0), | |
Connection(0, 267), | |
Connection(267, 269), | |
Connection(269, 270), | |
Connection(270, 409), | |
Connection(409, 291), | |
Connection(78, 95), | |
Connection(95, 88), | |
Connection(88, 178), | |
Connection(178, 87), | |
Connection(87, 14), | |
Connection(14, 317), | |
Connection(317, 402), | |
Connection(402, 318), | |
Connection(318, 324), | |
Connection(324, 308), | |
Connection(78, 191), | |
Connection(191, 80), | |
Connection(80, 81), | |
Connection(81, 82), | |
Connection(82, 13), | |
Connection(13, 312), | |
Connection(312, 311), | |
Connection(311, 310), | |
Connection(310, 415), | |
Connection(415, 308), | |
] | |
FACE_LANDMARKS_LEFT_EYE: List[Connection] = [ | |
Connection(263, 249), | |
Connection(249, 390), | |
Connection(390, 373), | |
Connection(373, 374), | |
Connection(374, 380), | |
Connection(380, 381), | |
Connection(381, 382), | |
Connection(382, 362), | |
Connection(263, 466), | |
Connection(466, 388), | |
Connection(388, 387), | |
Connection(387, 386), | |
Connection(386, 385), | |
Connection(385, 384), | |
Connection(384, 398), | |
Connection(398, 362), | |
] | |
FACE_LANDMARKS_LEFT_EYEBROW: List[Connection] = [ | |
Connection(276, 283), | |
Connection(283, 282), | |
Connection(282, 295), | |
Connection(295, 285), | |
Connection(300, 293), | |
Connection(293, 334), | |
Connection(334, 296), | |
Connection(296, 336), | |
] | |
FACE_LANDMARKS_LEFT_IRIS: List[Connection] = [ | |
Connection(474, 475), | |
Connection(475, 476), | |
Connection(476, 477), | |
Connection(477, 474), | |
] | |
FACE_LANDMARKS_RIGHT_EYE: List[Connection] = [ | |
Connection(33, 7), | |
Connection(7, 163), | |
Connection(163, 144), | |
Connection(144, 145), | |
Connection(145, 153), | |
Connection(153, 154), | |
Connection(154, 155), | |
Connection(155, 133), | |
Connection(33, 246), | |
Connection(246, 161), | |
Connection(161, 160), | |
Connection(160, 159), | |
Connection(159, 158), | |
Connection(158, 157), | |
Connection(157, 173), | |
Connection(173, 133), | |
] | |
FACE_LANDMARKS_RIGHT_EYEBROW: List[Connection] = [ | |
Connection(46, 53), | |
Connection(53, 52), | |
Connection(52, 65), | |
Connection(65, 55), | |
Connection(70, 63), | |
Connection(63, 105), | |
Connection(105, 66), | |
Connection(66, 107), | |
] | |
FACE_LANDMARKS_RIGHT_IRIS: List[Connection] = [ | |
Connection(469, 470), | |
Connection(470, 471), | |
Connection(471, 472), | |
Connection(472, 469), | |
] | |
FACE_LANDMARKS_FACE_OVAL: List[Connection] = [ | |
Connection(10, 338), | |
Connection(338, 297), | |
Connection(297, 332), | |
Connection(332, 284), | |
Connection(284, 251), | |
Connection(251, 389), | |
Connection(389, 356), | |
Connection(356, 454), | |
Connection(454, 323), | |
Connection(323, 361), | |
Connection(361, 288), | |
Connection(288, 397), | |
Connection(397, 365), | |
Connection(365, 379), | |
Connection(379, 378), | |
Connection(378, 400), | |
Connection(400, 377), | |
Connection(377, 152), | |
Connection(152, 148), | |
Connection(148, 176), | |
Connection(176, 149), | |
Connection(149, 150), | |
Connection(150, 136), | |
Connection(136, 172), | |
Connection(172, 58), | |
Connection(58, 132), | |
Connection(132, 93), | |
Connection(93, 234), | |
Connection(234, 127), | |
Connection(127, 162), | |
Connection(162, 21), | |
Connection(21, 54), | |
Connection(54, 103), | |
Connection(103, 67), | |
Connection(67, 109), | |
Connection(109, 10), | |
] | |
FACE_LANDMARKS_CONTOURS: List[Connection] = ( | |
FACE_LANDMARKS_LIPS | |
+ FACE_LANDMARKS_LEFT_EYE | |
+ FACE_LANDMARKS_LEFT_EYEBROW | |
+ FACE_LANDMARKS_RIGHT_EYE | |
+ FACE_LANDMARKS_RIGHT_EYEBROW | |
+ FACE_LANDMARKS_FACE_OVAL | |
) | |
FACE_LANDMARKS_TESSELATION: List[Connection] = [ | |
Connection(127, 34), | |
Connection(34, 139), | |
Connection(139, 127), | |
Connection(11, 0), | |
Connection(0, 37), | |
Connection(37, 11), | |
Connection(232, 231), | |
Connection(231, 120), | |
Connection(120, 232), | |
Connection(72, 37), | |
Connection(37, 39), | |
Connection(39, 72), | |
Connection(128, 121), | |
Connection(121, 47), | |
Connection(47, 128), | |
Connection(232, 121), | |
Connection(121, 128), | |
Connection(128, 232), | |
Connection(104, 69), | |
Connection(69, 67), | |
Connection(67, 104), | |
Connection(175, 171), | |
Connection(171, 148), | |
Connection(148, 175), | |
Connection(118, 50), | |
Connection(50, 101), | |
Connection(101, 118), | |
Connection(73, 39), | |
Connection(39, 40), | |
Connection(40, 73), | |
Connection(9, 151), | |
Connection(151, 108), | |
Connection(108, 9), | |
Connection(48, 115), | |
Connection(115, 131), | |
Connection(131, 48), | |
Connection(194, 204), | |
Connection(204, 211), | |
Connection(211, 194), | |
Connection(74, 40), | |
Connection(40, 185), | |
Connection(185, 74), | |
Connection(80, 42), | |
Connection(42, 183), | |
Connection(183, 80), | |
Connection(40, 92), | |
Connection(92, 186), | |
Connection(186, 40), | |
Connection(230, 229), | |
Connection(229, 118), | |
Connection(118, 230), | |
Connection(202, 212), | |
Connection(212, 214), | |
Connection(214, 202), | |
Connection(83, 18), | |
Connection(18, 17), | |
Connection(17, 83), | |
Connection(76, 61), | |
Connection(61, 146), | |
Connection(146, 76), | |
Connection(160, 29), | |
Connection(29, 30), | |
Connection(30, 160), | |
Connection(56, 157), | |
Connection(157, 173), | |
Connection(173, 56), | |
Connection(106, 204), | |
Connection(204, 194), | |
Connection(194, 106), | |
Connection(135, 214), | |
Connection(214, 192), | |
Connection(192, 135), | |
Connection(203, 165), | |
Connection(165, 98), | |
Connection(98, 203), | |
Connection(21, 71), | |
Connection(71, 68), | |
Connection(68, 21), | |
Connection(51, 45), | |
Connection(45, 4), | |
Connection(4, 51), | |
Connection(144, 24), | |
Connection(24, 23), | |
Connection(23, 144), | |
Connection(77, 146), | |
Connection(146, 91), | |
Connection(91, 77), | |
Connection(205, 50), | |
Connection(50, 187), | |
Connection(187, 205), | |
Connection(201, 200), | |
Connection(200, 18), | |
Connection(18, 201), | |
Connection(91, 106), | |
Connection(106, 182), | |
Connection(182, 91), | |
Connection(90, 91), | |
Connection(91, 181), | |
Connection(181, 90), | |
Connection(85, 84), | |
Connection(84, 17), | |
Connection(17, 85), | |
Connection(206, 203), | |
Connection(203, 36), | |
Connection(36, 206), | |
Connection(148, 171), | |
Connection(171, 140), | |
Connection(140, 148), | |
Connection(92, 40), | |
Connection(40, 39), | |
Connection(39, 92), | |
Connection(193, 189), | |
Connection(189, 244), | |
Connection(244, 193), | |
Connection(159, 158), | |
Connection(158, 28), | |
Connection(28, 159), | |
Connection(247, 246), | |
Connection(246, 161), | |
Connection(161, 247), | |
Connection(236, 3), | |
Connection(3, 196), | |
Connection(196, 236), | |
Connection(54, 68), | |
Connection(68, 104), | |
Connection(104, 54), | |
Connection(193, 168), | |
Connection(168, 8), | |
Connection(8, 193), | |
Connection(117, 228), | |
Connection(228, 31), | |
Connection(31, 117), | |
Connection(189, 193), | |
Connection(193, 55), | |
Connection(55, 189), | |
Connection(98, 97), | |
Connection(97, 99), | |
Connection(99, 98), | |
Connection(126, 47), | |
Connection(47, 100), | |
Connection(100, 126), | |
Connection(166, 79), | |
Connection(79, 218), | |
Connection(218, 166), | |
Connection(155, 154), | |
Connection(154, 26), | |
Connection(26, 155), | |
Connection(209, 49), | |
Connection(49, 131), | |
Connection(131, 209), | |
Connection(135, 136), | |
Connection(136, 150), | |
Connection(150, 135), | |
Connection(47, 126), | |
Connection(126, 217), | |
Connection(217, 47), | |
Connection(223, 52), | |
Connection(52, 53), | |
Connection(53, 223), | |
Connection(45, 51), | |
Connection(51, 134), | |
Connection(134, 45), | |
Connection(211, 170), | |
Connection(170, 140), | |
Connection(140, 211), | |
Connection(67, 69), | |
Connection(69, 108), | |
Connection(108, 67), | |
Connection(43, 106), | |
Connection(106, 91), | |
Connection(91, 43), | |
Connection(230, 119), | |
Connection(119, 120), | |
Connection(120, 230), | |
Connection(226, 130), | |
Connection(130, 247), | |
Connection(247, 226), | |
Connection(63, 53), | |
Connection(53, 52), | |
Connection(52, 63), | |
Connection(238, 20), | |
Connection(20, 242), | |
Connection(242, 238), | |
Connection(46, 70), | |
Connection(70, 156), | |
Connection(156, 46), | |
Connection(78, 62), | |
Connection(62, 96), | |
Connection(96, 78), | |
Connection(46, 53), | |
Connection(53, 63), | |
Connection(63, 46), | |
Connection(143, 34), | |
Connection(34, 227), | |
Connection(227, 143), | |
Connection(123, 117), | |
Connection(117, 111), | |
Connection(111, 123), | |
Connection(44, 125), | |
Connection(125, 19), | |
Connection(19, 44), | |
Connection(236, 134), | |
Connection(134, 51), | |
Connection(51, 236), | |
Connection(216, 206), | |
Connection(206, 205), | |
Connection(205, 216), | |
Connection(154, 153), | |
Connection(153, 22), | |
Connection(22, 154), | |
Connection(39, 37), | |
Connection(37, 167), | |
Connection(167, 39), | |
Connection(200, 201), | |
Connection(201, 208), | |
Connection(208, 200), | |
Connection(36, 142), | |
Connection(142, 100), | |
Connection(100, 36), | |
Connection(57, 212), | |
Connection(212, 202), | |
Connection(202, 57), | |
Connection(20, 60), | |
Connection(60, 99), | |
Connection(99, 20), | |
Connection(28, 158), | |
Connection(158, 157), | |
Connection(157, 28), | |
Connection(35, 226), | |
Connection(226, 113), | |
Connection(113, 35), | |
Connection(160, 159), | |
Connection(159, 27), | |
Connection(27, 160), | |
Connection(204, 202), | |
Connection(202, 210), | |
Connection(210, 204), | |
Connection(113, 225), | |
Connection(225, 46), | |
Connection(46, 113), | |
Connection(43, 202), | |
Connection(202, 204), | |
Connection(204, 43), | |
Connection(62, 76), | |
Connection(76, 77), | |
Connection(77, 62), | |
Connection(137, 123), | |
Connection(123, 116), | |
Connection(116, 137), | |
Connection(41, 38), | |
Connection(38, 72), | |
Connection(72, 41), | |
Connection(203, 129), | |
Connection(129, 142), | |
Connection(142, 203), | |
Connection(64, 98), | |
Connection(98, 240), | |
Connection(240, 64), | |
Connection(49, 102), | |
Connection(102, 64), | |
Connection(64, 49), | |
Connection(41, 73), | |
Connection(73, 74), | |
Connection(74, 41), | |
Connection(212, 216), | |
Connection(216, 207), | |
Connection(207, 212), | |
Connection(42, 74), | |
Connection(74, 184), | |
Connection(184, 42), | |
Connection(169, 170), | |
Connection(170, 211), | |
Connection(211, 169), | |
Connection(170, 149), | |
Connection(149, 176), | |
Connection(176, 170), | |
Connection(105, 66), | |
Connection(66, 69), | |
Connection(69, 105), | |
Connection(122, 6), | |
Connection(6, 168), | |
Connection(168, 122), | |
Connection(123, 147), | |
Connection(147, 187), | |
Connection(187, 123), | |
Connection(96, 77), | |
Connection(77, 90), | |
Connection(90, 96), | |
Connection(65, 55), | |
Connection(55, 107), | |
Connection(107, 65), | |
Connection(89, 90), | |
Connection(90, 180), | |
Connection(180, 89), | |
Connection(101, 100), | |
Connection(100, 120), | |
Connection(120, 101), | |
Connection(63, 105), | |
Connection(105, 104), | |
Connection(104, 63), | |
Connection(93, 137), | |
Connection(137, 227), | |
Connection(227, 93), | |
Connection(15, 86), | |
Connection(86, 85), | |
Connection(85, 15), | |
Connection(129, 102), | |
Connection(102, 49), | |
Connection(49, 129), | |
Connection(14, 87), | |
Connection(87, 86), | |
Connection(86, 14), | |
Connection(55, 8), | |
Connection(8, 9), | |
Connection(9, 55), | |
Connection(100, 47), | |
Connection(47, 121), | |
Connection(121, 100), | |
Connection(145, 23), | |
Connection(23, 22), | |
Connection(22, 145), | |
Connection(88, 89), | |
Connection(89, 179), | |
Connection(179, 88), | |
Connection(6, 122), | |
Connection(122, 196), | |
Connection(196, 6), | |
Connection(88, 95), | |
Connection(95, 96), | |
Connection(96, 88), | |
Connection(138, 172), | |
Connection(172, 136), | |
Connection(136, 138), | |
Connection(215, 58), | |
Connection(58, 172), | |
Connection(172, 215), | |
Connection(115, 48), | |
Connection(48, 219), | |
Connection(219, 115), | |
Connection(42, 80), | |
Connection(80, 81), | |
Connection(81, 42), | |
Connection(195, 3), | |
Connection(3, 51), | |
Connection(51, 195), | |
Connection(43, 146), | |
Connection(146, 61), | |
Connection(61, 43), | |
Connection(171, 175), | |
Connection(175, 199), | |
Connection(199, 171), | |
Connection(81, 82), | |
Connection(82, 38), | |
Connection(38, 81), | |
Connection(53, 46), | |
Connection(46, 225), | |
Connection(225, 53), | |
Connection(144, 163), | |
Connection(163, 110), | |
Connection(110, 144), | |
Connection(52, 65), | |
Connection(65, 66), | |
Connection(66, 52), | |
Connection(229, 228), | |
Connection(228, 117), | |
Connection(117, 229), | |
Connection(34, 127), | |
Connection(127, 234), | |
Connection(234, 34), | |
Connection(107, 108), | |
Connection(108, 69), | |
Connection(69, 107), | |
Connection(109, 108), | |
Connection(108, 151), | |
Connection(151, 109), | |
Connection(48, 64), | |
Connection(64, 235), | |
Connection(235, 48), | |
Connection(62, 78), | |
Connection(78, 191), | |
Connection(191, 62), | |
Connection(129, 209), | |
Connection(209, 126), | |
Connection(126, 129), | |
Connection(111, 35), | |
Connection(35, 143), | |
Connection(143, 111), | |
Connection(117, 123), | |
Connection(123, 50), | |
Connection(50, 117), | |
Connection(222, 65), | |
Connection(65, 52), | |
Connection(52, 222), | |
Connection(19, 125), | |
Connection(125, 141), | |
Connection(141, 19), | |
Connection(221, 55), | |
Connection(55, 65), | |
Connection(65, 221), | |
Connection(3, 195), | |
Connection(195, 197), | |
Connection(197, 3), | |
Connection(25, 7), | |
Connection(7, 33), | |
Connection(33, 25), | |
Connection(220, 237), | |
Connection(237, 44), | |
Connection(44, 220), | |
Connection(70, 71), | |
Connection(71, 139), | |
Connection(139, 70), | |
Connection(122, 193), | |
Connection(193, 245), | |
Connection(245, 122), | |
Connection(247, 130), | |
Connection(130, 33), | |
Connection(33, 247), | |
Connection(71, 21), | |
Connection(21, 162), | |
Connection(162, 71), | |
Connection(170, 169), | |
Connection(169, 150), | |
Connection(150, 170), | |
Connection(188, 174), | |
Connection(174, 196), | |
Connection(196, 188), | |
Connection(216, 186), | |
Connection(186, 92), | |
Connection(92, 216), | |
Connection(2, 97), | |
Connection(97, 167), | |
Connection(167, 2), | |
Connection(141, 125), | |
Connection(125, 241), | |
Connection(241, 141), | |
Connection(164, 167), | |
Connection(167, 37), | |
Connection(37, 164), | |
Connection(72, 38), | |
Connection(38, 12), | |
Connection(12, 72), | |
Connection(38, 82), | |
Connection(82, 13), | |
Connection(13, 38), | |
Connection(63, 68), | |
Connection(68, 71), | |
Connection(71, 63), | |
Connection(226, 35), | |
Connection(35, 111), | |
Connection(111, 226), | |
Connection(101, 50), | |
Connection(50, 205), | |
Connection(205, 101), | |
Connection(206, 92), | |
Connection(92, 165), | |
Connection(165, 206), | |
Connection(209, 198), | |
Connection(198, 217), | |
Connection(217, 209), | |
Connection(165, 167), | |
Connection(167, 97), | |
Connection(97, 165), | |
Connection(220, 115), | |
Connection(115, 218), | |
Connection(218, 220), | |
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Connection(249, 390), | |
Connection(339, 448), | |
Connection(448, 255), | |
Connection(255, 339), | |
] | |
class FaceLandmarkerResult: | |
"""The face landmarks detection result from FaceLandmarker, where each vector element represents a single face detected in the image. | |
Attributes: | |
face_landmarks: Detected face landmarks in normalized image coordinates. | |
face_blendshapes: Optional face blendshapes results. | |
facial_transformation_matrixes: Optional facial transformation matrix. | |
""" | |
face_landmarks: List[List[landmark_module.NormalizedLandmark]] | |
face_blendshapes: List[List[category_module.Category]] | |
facial_transformation_matrixes: List[np.ndarray] | |
def _build_landmarker_result( | |
output_packets: Mapping[str, packet_module.Packet] | |
) -> FaceLandmarkerResult: | |
"""Constructs a `FaceLandmarkerResult` from output packets.""" | |
face_landmarks_proto_list = packet_getter.get_proto_list( | |
output_packets[_NORM_LANDMARKS_STREAM_NAME] | |
) | |
face_landmarks_results = [] | |
for proto in face_landmarks_proto_list: | |
face_landmarks = landmark_pb2.NormalizedLandmarkList() | |
face_landmarks.MergeFrom(proto) | |
face_landmarks_list = [] | |
for face_landmark in face_landmarks.landmark: | |
face_landmarks_list.append( | |
landmark_module.NormalizedLandmark.create_from_pb2(face_landmark) | |
) | |
face_landmarks_results.append(face_landmarks_list) | |
face_blendshapes_results = [] | |
if _BLENDSHAPES_STREAM_NAME in output_packets: | |
face_blendshapes_proto_list = packet_getter.get_proto_list( | |
output_packets[_BLENDSHAPES_STREAM_NAME] | |
) | |
for proto in face_blendshapes_proto_list: | |
face_blendshapes_categories = [] | |
face_blendshapes_classifications = classification_pb2.ClassificationList() | |
face_blendshapes_classifications.MergeFrom(proto) | |
for face_blendshapes in face_blendshapes_classifications.classification: | |
face_blendshapes_categories.append( | |
category_module.Category( | |
index=face_blendshapes.index, | |
score=face_blendshapes.score, | |
display_name=face_blendshapes.display_name, | |
category_name=face_blendshapes.label, | |
) | |
) | |
face_blendshapes_results.append(face_blendshapes_categories) | |
facial_transformation_matrixes_results = [] | |
if _FACE_GEOMETRY_STREAM_NAME in output_packets: | |
facial_transformation_matrixes_proto_list = packet_getter.get_proto_list( | |
output_packets[_FACE_GEOMETRY_STREAM_NAME] | |
) | |
for proto in facial_transformation_matrixes_proto_list: | |
if hasattr(proto, 'pose_transform_matrix'): | |
matrix_data = matrix_data_pb2.MatrixData() | |
matrix_data.MergeFrom(proto.pose_transform_matrix) | |
matrix = np.array(matrix_data.packed_data) | |
matrix = matrix.reshape((matrix_data.rows, matrix_data.cols)) | |
matrix = ( | |
matrix if matrix_data.layout == _LayoutEnum.ROW_MAJOR else matrix.T | |
) | |
facial_transformation_matrixes_results.append(matrix) | |
return FaceLandmarkerResult( | |
face_landmarks_results, | |
face_blendshapes_results, | |
facial_transformation_matrixes_results, | |
) | |
def _build_landmarker_result2( | |
output_packets: Mapping[str, packet_module.Packet] | |
) -> FaceLandmarkerResult: | |
"""Constructs a `FaceLandmarkerResult` from output packets.""" | |
face_landmarks_proto_list = packet_getter.get_proto_list( | |
output_packets[_NORM_LANDMARKS_STREAM_NAME] | |
) | |
face_landmarks_results = [] | |
for proto in face_landmarks_proto_list: | |
face_landmarks = landmark_pb2.NormalizedLandmarkList() | |
face_landmarks.MergeFrom(proto) | |
face_landmarks_list = [] | |
for face_landmark in face_landmarks.landmark: | |
face_landmarks_list.append( | |
landmark_module.NormalizedLandmark.create_from_pb2(face_landmark) | |
) | |
face_landmarks_results.append(face_landmarks_list) | |
face_blendshapes_results = [] | |
if _BLENDSHAPES_STREAM_NAME in output_packets: | |
face_blendshapes_proto_list = packet_getter.get_proto_list( | |
output_packets[_BLENDSHAPES_STREAM_NAME] | |
) | |
for proto in face_blendshapes_proto_list: | |
face_blendshapes_categories = [] | |
face_blendshapes_classifications = classification_pb2.ClassificationList() | |
face_blendshapes_classifications.MergeFrom(proto) | |
for face_blendshapes in face_blendshapes_classifications.classification: | |
face_blendshapes_categories.append( | |
category_module.Category( | |
index=face_blendshapes.index, | |
score=face_blendshapes.score, | |
display_name=face_blendshapes.display_name, | |
category_name=face_blendshapes.label, | |
) | |
) | |
face_blendshapes_results.append(face_blendshapes_categories) | |
facial_transformation_matrixes_results = [] | |
if _FACE_GEOMETRY_STREAM_NAME in output_packets: | |
facial_transformation_matrixes_proto_list = packet_getter.get_proto_list( | |
output_packets[_FACE_GEOMETRY_STREAM_NAME] | |
) | |
for proto in facial_transformation_matrixes_proto_list: | |
if hasattr(proto, 'pose_transform_matrix'): | |
matrix_data = matrix_data_pb2.MatrixData() | |
matrix_data.MergeFrom(proto.pose_transform_matrix) | |
matrix = np.array(matrix_data.packed_data) | |
matrix = matrix.reshape((matrix_data.rows, matrix_data.cols)) | |
matrix = ( | |
matrix if matrix_data.layout == _LayoutEnum.ROW_MAJOR else matrix.T | |
) | |
facial_transformation_matrixes_results.append(matrix) | |
return FaceLandmarkerResult( | |
face_landmarks_results, | |
face_blendshapes_results, | |
facial_transformation_matrixes_results, | |
), facial_transformation_matrixes_proto_list[0].mesh | |
class FaceLandmarkerOptions: | |
"""Options for the face landmarker task. | |
Attributes: | |
base_options: Base options for the face landmarker task. | |
running_mode: The running mode of the task. Default to the image mode. | |
FaceLandmarker has three running modes: 1) The image mode for detecting | |
face landmarks on single image inputs. 2) The video mode for detecting | |
face landmarks on the decoded frames of a video. 3) The live stream mode | |
for detecting face landmarks on the live stream of input data, such as | |
from camera. In this mode, the "result_callback" below must be specified | |
to receive the detection results asynchronously. | |
num_faces: The maximum number of faces that can be detected by the | |
FaceLandmarker. | |
min_face_detection_confidence: The minimum confidence score for the face | |
detection to be considered successful. | |
min_face_presence_confidence: The minimum confidence score of face presence | |
score in the face landmark detection. | |
min_tracking_confidence: The minimum confidence score for the face tracking | |
to be considered successful. | |
output_face_blendshapes: Whether FaceLandmarker outputs face blendshapes | |
classification. Face blendshapes are used for rendering the 3D face model. | |
output_facial_transformation_matrixes: Whether FaceLandmarker outputs facial | |
transformation_matrix. Facial transformation matrix is used to transform | |
the face landmarks in canonical face to the detected face, so that users | |
can apply face effects on the detected landmarks. | |
result_callback: The user-defined result callback for processing live stream | |
data. The result callback should only be specified when the running mode | |
is set to the live stream mode. | |
""" | |
base_options: _BaseOptions | |
running_mode: _RunningMode = _RunningMode.IMAGE | |
num_faces: int = 1 | |
min_face_detection_confidence: float = 0.5 | |
min_face_presence_confidence: float = 0.5 | |
min_tracking_confidence: float = 0.5 | |
output_face_blendshapes: bool = False | |
output_facial_transformation_matrixes: bool = False | |
result_callback: Optional[ | |
Callable[[FaceLandmarkerResult, image_module.Image, int], None] | |
] = None | |
def to_pb2(self) -> _FaceLandmarkerGraphOptionsProto: | |
"""Generates an FaceLandmarkerGraphOptions protobuf object.""" | |
base_options_proto = self.base_options.to_pb2() | |
base_options_proto.use_stream_mode = ( | |
False if self.running_mode == _RunningMode.IMAGE else True | |
) | |
# Initialize the face landmarker options from base options. | |
face_landmarker_options_proto = _FaceLandmarkerGraphOptionsProto( | |
base_options=base_options_proto | |
) | |
# Configure face detector options. | |
face_landmarker_options_proto.face_detector_graph_options.num_faces = ( | |
self.num_faces | |
) | |
face_landmarker_options_proto.face_detector_graph_options.min_detection_confidence = ( | |
self.min_face_detection_confidence | |
) | |
# Configure face landmark detector options. | |
face_landmarker_options_proto.min_tracking_confidence = ( | |
self.min_tracking_confidence | |
) | |
face_landmarker_options_proto.face_landmarks_detector_graph_options.min_detection_confidence = ( | |
self.min_face_detection_confidence | |
) | |
return face_landmarker_options_proto | |
class FaceLandmarker(base_vision_task_api.BaseVisionTaskApi): | |
"""Class that performs face landmarks detection on images.""" | |
def create_from_model_path(cls, model_path: str) -> 'FaceLandmarker': | |
"""Creates an `FaceLandmarker` object from a TensorFlow Lite model and the default `FaceLandmarkerOptions`. | |
Note that the created `FaceLandmarker` instance is in image mode, for | |
detecting face landmarks on single image inputs. | |
Args: | |
model_path: Path to the model. | |
Returns: | |
`FaceLandmarker` object that's created from the model file and the | |
default `FaceLandmarkerOptions`. | |
Raises: | |
ValueError: If failed to create `FaceLandmarker` object from the | |
provided file such as invalid file path. | |
RuntimeError: If other types of error occurred. | |
""" | |
base_options = _BaseOptions(model_asset_path=model_path) | |
options = FaceLandmarkerOptions( | |
base_options=base_options, running_mode=_RunningMode.IMAGE | |
) | |
return cls.create_from_options(options) | |
def create_from_options( | |
cls, options: FaceLandmarkerOptions | |
) -> 'FaceLandmarker': | |
"""Creates the `FaceLandmarker` object from face landmarker options. | |
Args: | |
options: Options for the face landmarker task. | |
Returns: | |
`FaceLandmarker` object that's created from `options`. | |
Raises: | |
ValueError: If failed to create `FaceLandmarker` object from | |
`FaceLandmarkerOptions` such as missing the model. | |
RuntimeError: If other types of error occurred. | |
""" | |
def packets_callback(output_packets: Mapping[str, packet_module.Packet]): | |
if output_packets[_IMAGE_OUT_STREAM_NAME].is_empty(): | |
return | |
image = packet_getter.get_image(output_packets[_IMAGE_OUT_STREAM_NAME]) | |
if output_packets[_IMAGE_OUT_STREAM_NAME].is_empty(): | |
return | |
if output_packets[_NORM_LANDMARKS_STREAM_NAME].is_empty(): | |
empty_packet = output_packets[_NORM_LANDMARKS_STREAM_NAME] | |
options.result_callback( | |
FaceLandmarkerResult([], [], []), | |
image, | |
empty_packet.timestamp.value // _MICRO_SECONDS_PER_MILLISECOND, | |
) | |
return | |
face_landmarks_result = _build_landmarker_result(output_packets) | |
timestamp = output_packets[_NORM_LANDMARKS_STREAM_NAME].timestamp | |
options.result_callback( | |
face_landmarks_result, | |
image, | |
timestamp.value // _MICRO_SECONDS_PER_MILLISECOND, | |
) | |
output_streams = [ | |
':'.join([_NORM_LANDMARKS_TAG, _NORM_LANDMARKS_STREAM_NAME]), | |
':'.join([_IMAGE_TAG, _IMAGE_OUT_STREAM_NAME]), | |
] | |
if options.output_face_blendshapes: | |
output_streams.append( | |
':'.join([_BLENDSHAPES_TAG, _BLENDSHAPES_STREAM_NAME]) | |
) | |
if options.output_facial_transformation_matrixes: | |
output_streams.append( | |
':'.join([_FACE_GEOMETRY_TAG, _FACE_GEOMETRY_STREAM_NAME]) | |
) | |
task_info = _TaskInfo( | |
task_graph=_TASK_GRAPH_NAME, | |
input_streams=[ | |
':'.join([_IMAGE_TAG, _IMAGE_IN_STREAM_NAME]), | |
':'.join([_NORM_RECT_TAG, _NORM_RECT_STREAM_NAME]), | |
], | |
output_streams=output_streams, | |
task_options=options, | |
) | |
return cls( | |
task_info.generate_graph_config( | |
enable_flow_limiting=options.running_mode | |
== _RunningMode.LIVE_STREAM | |
), | |
options.running_mode, | |
packets_callback if options.result_callback else None, | |
) | |
def detect( | |
self, | |
image: image_module.Image, | |
image_processing_options: Optional[_ImageProcessingOptions] = None, | |
) -> FaceLandmarkerResult: | |
"""Performs face landmarks detection on the given image. | |
Only use this method when the FaceLandmarker is created with the image | |
running mode. | |
The image can be of any size with format RGB or RGBA. | |
TODO: Describes how the input image will be preprocessed after the yuv | |
support is implemented. | |
Args: | |
image: MediaPipe Image. | |
image_processing_options: Options for image processing. | |
Returns: | |
The face landmarks detection results. | |
Raises: | |
ValueError: If any of the input arguments is invalid. | |
RuntimeError: If face landmarker detection failed to run. | |
""" | |
normalized_rect = self.convert_to_normalized_rect( | |
image_processing_options, image, roi_allowed=False | |
) | |
output_packets = self._process_image_data({ | |
_IMAGE_IN_STREAM_NAME: packet_creator.create_image(image), | |
_NORM_RECT_STREAM_NAME: packet_creator.create_proto( | |
normalized_rect.to_pb2() | |
), | |
}) | |
if output_packets[_NORM_LANDMARKS_STREAM_NAME].is_empty(): | |
return FaceLandmarkerResult([], [], []) | |
return _build_landmarker_result2(output_packets) | |
def detect_for_video( | |
self, | |
image: image_module.Image, | |
timestamp_ms: int, | |
image_processing_options: Optional[_ImageProcessingOptions] = None, | |
): | |
"""Performs face landmarks detection on the provided video frame. | |
Only use this method when the FaceLandmarker is created with the video | |
running mode. | |
Only use this method when the FaceLandmarker is created with the video | |
running mode. It's required to provide the video frame's timestamp (in | |
milliseconds) along with the video frame. The input timestamps should be | |
monotonically increasing for adjacent calls of this method. | |
Args: | |
image: MediaPipe Image. | |
timestamp_ms: The timestamp of the input video frame in milliseconds. | |
image_processing_options: Options for image processing. | |
Returns: | |
The face landmarks detection results. | |
Raises: | |
ValueError: If any of the input arguments is invalid. | |
RuntimeError: If face landmarker detection failed to run. | |
""" | |
normalized_rect = self.convert_to_normalized_rect( | |
image_processing_options, image, roi_allowed=False | |
) | |
output_packets = self._process_video_data({ | |
_IMAGE_IN_STREAM_NAME: packet_creator.create_image(image).at( | |
timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND | |
), | |
_NORM_RECT_STREAM_NAME: packet_creator.create_proto( | |
normalized_rect.to_pb2() | |
).at(timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND), | |
}) | |
if output_packets[_NORM_LANDMARKS_STREAM_NAME].is_empty(): | |
return FaceLandmarkerResult([], [], []) | |
return _build_landmarker_result2(output_packets) | |
def detect_async( | |
self, | |
image: image_module.Image, | |
timestamp_ms: int, | |
image_processing_options: Optional[_ImageProcessingOptions] = None, | |
) -> None: | |
"""Sends live image data to perform face landmarks detection. | |
The results will be available via the "result_callback" provided in the | |
FaceLandmarkerOptions. Only use this method when the FaceLandmarker is | |
created with the live stream running mode. | |
Only use this method when the FaceLandmarker is created with the live | |
stream running mode. The input timestamps should be monotonically increasing | |
for adjacent calls of this method. This method will return immediately after | |
the input image is accepted. The results will be available via the | |
`result_callback` provided in the `FaceLandmarkerOptions`. The | |
`detect_async` method is designed to process live stream data such as | |
camera input. To lower the overall latency, face landmarker may drop the | |
input images if needed. In other words, it's not guaranteed to have output | |
per input image. | |
The `result_callback` provides: | |
- The face landmarks detection results. | |
- The input image that the face landmarker runs on. | |
- The input timestamp in milliseconds. | |
Args: | |
image: MediaPipe Image. | |
timestamp_ms: The timestamp of the input image in milliseconds. | |
image_processing_options: Options for image processing. | |
Raises: | |
ValueError: If the current input timestamp is smaller than what the | |
face landmarker has already processed. | |
""" | |
normalized_rect = self.convert_to_normalized_rect( | |
image_processing_options, image, roi_allowed=False | |
) | |
self._send_live_stream_data({ | |
_IMAGE_IN_STREAM_NAME: packet_creator.create_image(image).at( | |
timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND | |
), | |
_NORM_RECT_STREAM_NAME: packet_creator.create_proto( | |
normalized_rect.to_pb2() | |
).at(timestamp_ms * _MICRO_SECONDS_PER_MILLISECOND), | |
}) |