UPD: landmark_3d_68 Math

This commit is contained in:
Gourieff | 古仁
2026-04-23 13:01:17 +07:00
parent 11db21f666
commit ca24587deb
2 changed files with 390 additions and 5 deletions
+42 -5
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@@ -1,6 +1,42 @@
import cv2
import numpy as np
from .face_objects import BaseONNXModel
from .meanshape_68 import MEANSHAPE_68
# --- Математика для 3D позы ---
def estimate_affine_matrix_3d23d(X, Y):
''' Вычисляет аффинную матрицу трансформации 3D -> 3D '''
X_homo = np.hstack((X, np.ones([X.shape[0], 1])))
P = np.linalg.lstsq(X_homo, Y, rcond=None)[0].T
return P
def P2sRt(P):
''' Разбивает матрицу проекции '''
t1 = np.linalg.norm(P[:,0])
t2 = np.linalg.norm(P[:,1])
t3 = np.linalg.norm(P[:,2])
s = (t1 + t2 + t3) / 3.0
P1 = P / s
R = P1[:, 0:3]
t = P1[:, 3]
return s, R, t
def matrix2angle(R):
''' Превращает матрицу поворота в углы Эйлера (pitch, yaw, roll) '''
if R[2,0] != 1 and R[2,0] != -1:
pitch = -np.arcsin(R[2,0])
yaw = np.arctan2(R[2,1]/np.cos(pitch), R[2,2]/np.cos(pitch))
roll = np.arctan2(R[1,0]/np.cos(pitch), R[0,0]/np.cos(pitch))
else:
yaw = 0
if R[2,0] == -1:
pitch = np.pi/2
roll = yaw + np.arctan2(R[0,1], R[0,2])
else:
pitch = -np.pi/2
roll = -yaw + np.arctan2(-R[0,1], -R[0,2])
return pitch, yaw, roll
# --- Вспомогательные функции ---
@@ -391,13 +427,14 @@ class Landmark(BaseONNXModel):
else:
pred = pred_xy
# Сохраняем в объект Face под правильным именем (например, landmark_3d_68)
# Сохраняем в объект Face под правильным именем
setattr(face, self.taskname, pred)
# Для обратной совместимости нод ReActor'a с 3D моделью
# Честный расчет 3D позы
if self.taskname == 'landmark_3d_68':
# Вместо расчета Euler углов через PKL-файл insightface,
# мы отдаем нулевой вектор (pitch, yaw, roll). Он нужен только для структуры safetensors.
face.pose = np.zeros(3, dtype=np.float32)
P = estimate_affine_matrix_3d23d(MEANSHAPE_68, pred)
_, R, _ = P2sRt(P)
rx, ry, rz = matrix2angle(R)
face.pose = np.array([rx, ry, rz], dtype=np.float32)
return pred
+348
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@@ -0,0 +1,348 @@
import numpy as np
# эталонная 3D-модель "усредненного" человеческого лица (68 точек в 3D-пространстве)
matrix = [
[
-0.6266950368881226,
-0.2926996946334839,
-0.3140018582344055
],
[
-0.5996649265289307,
-0.12250272184610367,
-0.2924409508705139
],
[
-0.571026086807251,
0.05118739977478981,
-0.2549465000629425
],
[
-0.5338566899299622,
0.21284838020801544,
-0.1866333782672882
],
[
-0.4797332286834717,
0.3506459593772888,
-0.047699932008981705
],
[
-0.3957556486129761,
0.4465116560459137,
0.07328663021326065
],
[
-0.29880842566490173,
0.5106605887413025,
0.17977793514728546
],
[
-0.18838681280612946,
0.554440438747406,
0.3166600465774536
],
[
0.0014708322705700994,
0.584439218044281,
0.38841578364372253
],
[
0.19099053740501404,
0.5517070889472961,
0.31433114409446716
],
[
0.3269285559654236,
0.48957568407058716,
0.16839952766895294
],
[
0.4400261342525482,
0.4023579955101013,
0.03596242889761925
],
[
0.5068787336349487,
0.3116249442100525,
-0.09476063400506973
],
[
0.540894627571106,
0.20452618598937988,
-0.20267142355442047
],
[
0.574118435382843,
0.04570329561829567,
-0.2841764986515045
],
[
0.5991416573524475,
-0.14585931599140167,
-0.296495646238327
],
[
0.6275436282157898,
-0.30774804949760437,
-0.30199483036994934
],
[
-0.47466811537742615,
-0.4376046359539032,
0.23648710548877716
],
[
-0.4166599214076996,
-0.4717560112476349,
0.3159925639629364
],
[
-0.3475387990474701,
-0.4840780198574066,
0.366113543510437
],
[
-0.26063987612724304,
-0.4763909876346588,
0.3992317318916321
],
[
-0.16712301969528198,
-0.45777544379234314,
0.4166091978549957
],
[
0.1231740415096283,
-0.45874011516571045,
0.4250619411468506
],
[
0.2063615769147873,
-0.4804193377494812,
0.41578391194343567
],
[
0.28667303919792175,
-0.4901494085788727,
0.3919537663459778
],
[
0.3623969256877899,
-0.4768601655960083,
0.3527863025665283
],
[
0.425568163394928,
-0.4500580430030823,
0.2953187823295593
],
[
-0.007627937477082014,
-0.3230886459350586,
0.46194377541542053
],
[
-0.007876846939325333,
-0.255738765001297,
0.5104694366455078
],
[
-0.007687545381486416,
-0.19917990267276764,
0.5525456666946411
],
[
-0.007345120422542095,
-0.14261691272258759,
0.5986667275428772
],
[
-0.144961878657341,
0.033126939088106155,
0.4196909964084625
],
[
-0.08434253931045532,
0.03127360716462135,
0.4731740951538086
],
[
-0.005499685648828745,
0.03975145146250725,
0.5146695971488953
],
[
0.06346292793750763,
0.04613516479730606,
0.4792240560054779
],
[
0.13398391008377075,
0.02204025723040104,
0.41907867789268494
],
[
-0.38675081729888916,
-0.3133975565433502,
0.259631872177124
],
[
-0.3166607916355133,
-0.35007160902023315,
0.3285270035266876
],
[
-0.2341379076242447,
-0.35491427779197693,
0.3334933817386627
],
[
-0.15516234934329987,
-0.31524932384490967,
0.3143281042575836
],
[
-0.23092176020145416,
-0.28427040576934814,
0.3255828619003296
],
[
-0.3175090253353119,
-0.28516536951065063,
0.3098825216293335
],
[
0.13895708322525024,
-0.30982404947280884,
0.3182835876941681
],
[
0.21945592761039734,
-0.35319215059280396,
0.33802759647369385
],
[
0.30174651741981506,
-0.349665105342865,
0.333102285861969
],
[
0.37665316462516785,
-0.31351813673973083,
0.26322856545448303
],
[
0.2966947853565216,
-0.2871439754962921,
0.3220130503177643
],
[
0.21462441980838776,
-0.2905276417732239,
0.33124178647994995
],
[
-0.20143844187259674,
0.23736143112182617,
0.37953662872314453
],
[
-0.13732077181339264,
0.18578563630580902,
0.46525245904922485
],
[
-0.07648587226867676,
0.15119342505931854,
0.5035716891288757
],
[
-0.002535885199904442,
0.16872699558734894,
0.5164376497268677
],
[
0.06442102789878845,
0.15088020265102386,
0.5045241117477417
],
[
0.126465305685997,
0.17947596311569214,
0.4685916602611542
],
[
0.21824784576892853,
0.23899227380752563,
0.37567368149757385
],
[
0.13288259506225586,
0.28392839431762695,
0.4400508999824524
],
[
0.06802233308553696,
0.2973543107509613,
0.4774041771888733
],
[
-0.0004690653004217893,
0.30004069209098816,
0.4871094226837158
],
[
-0.06934267282485962,
0.29696860909461975,
0.4805404841899872
],
[
-0.14252015948295593,
0.2743033170700073,
0.43808019161224365
],
[
-0.1781347393989563,
0.23059049248695374,
0.3963589668273926
],
[
-0.07403063774108887,
0.2147187888622284,
0.4653262794017792
],
[
-0.002636224264279008,
0.21414154767990112,
0.4832296073436737
],
[
0.05981616675853729,
0.21076396107673645,
0.47224411368370056
],
[
0.16690002381801605,
0.23127099871635437,
0.396789014339447
],
[
0.059809282422065735,
0.22376428544521332,
0.46641337871551514
],
[
-0.0014343614457175136,
0.2257590889930725,
0.4752439558506012
],
[
-0.07522077113389969,
0.23065608739852905,
0.4671475291252136
]
]
MEANSHAPE_68 = np.array(matrix, dtype=np.float32)