Spaces:
Runtime error
Runtime error
File size: 4,946 Bytes
29572ad | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 | import sys
sys.path.append("C:/ProgramData/Anaconda3/envs/facerecog/Lib/site-packages")
# import required modules
from pydub import AudioSegment
from pydub.playback import play
import time, cv2
import mediapipe as mp
import numpy as np
global z
global time1
mp_face_mesh = mp.solutions.face_mesh
face_mesh = mp_face_mesh.FaceMesh(min_detection_confidence=0.5, min_tracking_confidence=0.5)
mp_drawing = mp.solutions.drawing_utils
drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
left, right, up, down = 0, 0, 0, 0
leftState, rightState, upState, downState = 1, 1, 1, 1
v1, v2, v3, v4, v5 = 0, 0, 0, 0, 0 # Initialize v1, v2, v3, v4, and v5
#mixer.init()
#mixer.init('alsa')
def Faces(frame):
global z
global time1
global left, right, up, down, leftState, rightState, upState, downState, v1, v2, v3, v4, v5
man = 0
end = 0
start = 0
str5 = 'Time in minutes : '
a = []
m = 0
min = 0
rik = 0
rik1 = 0
z1 = 0
z2 = 0
preval = 0
starttime = time.perf_counter()
time1 = time.perf_counter() - starttime
success = True
image = frame
image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = face_mesh.process(image)
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
img_h, img_w, img_c = image.shape
face_3d = []
face_2d = []
if results.multi_face_landmarks:
time1 = time.perf_counter() - starttime
if int(man) == 1:
time1 = time1 - (end - m) + 1
for face_landmarks in results.multi_face_landmarks:
for idx, lm in enumerate(face_landmarks.landmark):
if idx == 33 or idx == 263 or idx == 1 or idx == 61 or idx == 291 or idx == 199:
if idx == 1:
nose_2d = (lm.x * img_w, lm.y * img_h)
nose_3d = (lm.x * img_w, lm.y * img_h, lm.z * 3000)
x, y = int(lm.x * img_w), int(lm.y * img_h)
face_2d.append([x, y])
face_3d.append([x, y, lm.z])
face_2d = np.array(face_2d, dtype=np.float64)
face_3d = np.array(face_3d, dtype=np.float64)
focal_length = 1 * img_w
cam_matrix = np.array([[focal_length, 0, img_h / 2],
[0, focal_length, img_w / 2],
[0, 0, 1]])
dist_matrix = np.zeros((4, 1), dtype=np.float64)
success, rot_vec, trans_vec = cv2.solvePnP(face_3d, face_2d, cam_matrix, dist_matrix)
rmat, jac = cv2.Rodrigues(rot_vec)
angles, mtxR, mtxQ, Qx, Qy, Qz = cv2.RQDecomp3x3(rmat)
x = angles[0] * 360
y = angles[1] * 360
z = angles[2] * 360
if y < -10:
v1 = time.perf_counter()
if (v1 - v5) > 1:
song = AudioSegment.from_mp3('./faceRecognize/x.mpeg')
play(song)
print('play song from face')
if leftState:
left = left + 1
leftState = 0
rightState = 1
text = "Looking Left"
elif y > 10:
v2 = time.perf_counter()
if (v2 - v5) > 20:
song = AudioSegment.from_mp3('./faceRecognize/x.mpeg')
play(song)
if rightState:
leftState = 1
upState = 1
downState = 1
rightState = 0
right = right + 1
text = "Looking Right"
else:
v5 = time.perf_counter()
leftState = 1
rightState = 1
upState = 1
downState = 1
text = "Forward"
nose_3d_projection, jacobian = cv2.projectPoints(nose_3d, rot_vec, trans_vec, cam_matrix, dist_matrix)
p1 = (int(nose_2d[0]), int(nose_2d[1]))
p2 = (int(nose_2d[0] + y * 10), int(nose_2d[1] - x * 10))
cv2.line(image, p1, p2, (255, 0, 0), 3)
cv2.putText(image, "Left: " + str(np.round(left, 2)), (500, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
cv2.putText(image, "Right: " + str(np.round(right, 2)), (500, 100), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
cv2.putText(image, f'time: {int(time1)} sec', (300, 450), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (0, 255, 0), 2)
mp_drawing.draw_landmarks(
image=image,
landmark_list=face_landmarks,
connections=mp_face_mesh.FACEMESH_TESSELATION,
landmark_drawing_spec=drawing_spec,
connection_drawing_spec=drawing_spec)
else:
end = time.perf_counter() - starttime
man = 1
m = time1
return image
|