AnimateAnyone / tools /facetracker_api.py
huggface123's picture
Initial commit from GitMoore-AnimateAnyone project
0d24b07
import copy
import os, sys
import math
import numpy as np
import cv2
sys.path.append("OpenSeeFace/")
from tracker import Tracker, get_model_base_path
features = ["eye_l", "eye_r", "eyebrow_steepness_l", "eyebrow_updown_l", "eyebrow_quirk_l", "eyebrow_steepness_r", "eyebrow_updown_r", "eyebrow_quirk_r", "mouth_corner_updown_l", "mouth_corner_inout_l", "mouth_corner_updown_r", "mouth_corner_inout_r", "mouth_open", "mouth_wide"]
def face_image(frame, save_path=None):
height, width, c = frame.shape
tracker = Tracker(width, height, threshold=None, max_threads=1, max_faces=1, discard_after=10, scan_every=3, silent=False, model_type=3, model_dir=None,
no_gaze=False, detection_threshold=0.4, use_retinaface=0, max_feature_updates=900, static_model=True, try_hard=False)
faces = tracker.predict(frame)
frame = np.zeros_like(frame)
detected = False
face_lms = None
for face_num, f in enumerate(faces):
f = copy.copy(f)
if f.eye_blink is None:
f.eye_blink = [1, 1]
right_state = "O" if f.eye_blink[0] > 0.30 else "-"
left_state = "O" if f.eye_blink[1] > 0.30 else "-"
detected = True
if not f.success:
pts_3d = np.zeros((70, 3), np.float32)
if face_num == 0:
face_lms = f.lms
for pt_num, (x,y,c) in enumerate(f.lms):
if pt_num == 66 and (f.eye_blink[0] < 0.30 or c < 0.20):
continue
if pt_num == 67 and (f.eye_blink[1] < 0.30 or c < 0.20):
continue
x = int(x + 0.5)
y = int(y + 0.5)
color = (0, 255, 0)
if pt_num >= 66:
color = (255, 255, 0)
if not (x < 0 or y < 0 or x >= height or y >= width):
cv2.circle(frame, (y, x), 1, color, -1)
if f.rotation is not None:
projected = cv2.projectPoints(f.contour, f.rotation, f.translation, tracker.camera, tracker.dist_coeffs)
for [(x,y)] in projected[0]:
x = int(x + 0.5)
y = int(y + 0.5)
if not (x < 0 or y < 0 or x >= height or y >= width):
frame[int(x), int(y)] = (0, 255, 255)
x += 1
if not (x < 0 or y < 0 or x >= height or y >= width):
frame[int(x), int(y)] = (0, 255, 255)
y += 1
if not (x < 0 or y < 0 or x >= height or y >= width):
frame[int(x), int(y)] = (0, 255, 255)
x -= 1
if not (x < 0 or y < 0 or x >= height or y >= width):
frame[int(x), int(y)] = (0, 255, 255)
if save_path is not None:
cv2.imwrite(save_path, frame)
return frame, face_lms