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Running
on
Zero
Running
on
Zero
import argparse | |
import os | |
import cv2 | |
import mediapipe as mp | |
import numpy as np | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--folder_root", type=str) | |
parser.add_argument("--start", type=int, help="Specify the value of start") | |
parser.add_argument("--end", type=int, help="Specify the value of end") | |
args = parser.parse_args() | |
folder_root = args.folder_root | |
start = args.start | |
end = args.end | |
mp_face_mesh = mp.solutions.face_mesh | |
face_mesh = mp_face_mesh.FaceMesh(static_image_mode=True, max_num_faces=10) | |
upper_lip_idx = [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291] | |
lower_lip_idx = [61, 146, 91, 181, 84, 17, 314, 405, 321, 375, 291] | |
for idx in range(start, end): | |
subfolder = str(idx).zfill(5) | |
subfolder_path = os.path.join(folder_root, subfolder) | |
images_folder = os.path.join(subfolder_path, "images") | |
if os.path.exists(images_folder): | |
face_masks_folder = os.path.join(subfolder_path, "lip_masks") | |
os.makedirs(face_masks_folder, exist_ok=True) | |
for root, dirs, files in os.walk(images_folder): | |
for file in files: | |
if file.endswith('.png'): | |
file_name = os.path.splitext(file)[0] | |
image_name = file_name + '.png' | |
image_legal_path = os.path.join(images_folder, image_name) | |
if os.path.exists(os.path.join(face_masks_folder, file_name + '.png')): | |
existed_path = os.path.join(face_masks_folder, file_name + '.png') | |
print(f"{existed_path} already exists!") | |
continue | |
face_save_path = os.path.join(face_masks_folder, file_name + '.png') | |
image = cv2.imread(image_legal_path) | |
h, w, _ = image.shape | |
rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) | |
results = face_mesh.process(rgb_image) | |
mask = np.zeros((h, w), dtype=np.uint8) | |
if results.multi_face_landmarks: | |
for face_landmarks in results.multi_face_landmarks: | |
upper_points = np.array([ | |
[int(face_landmarks.landmark[i].x * w), int(face_landmarks.landmark[i].y * h)] | |
for i in upper_lip_idx | |
], dtype=np.int32) | |
lower_points = np.array([ | |
[int(face_landmarks.landmark[i].x * w), int(face_landmarks.landmark[i].y * h)] | |
for i in lower_lip_idx | |
], dtype=np.int32) | |
cv2.fillPoly(mask, [upper_points], 255) | |
cv2.fillPoly(mask, [lower_points], 255) | |
else: | |
print(f"No face detected in {image_legal_path}. Saving empty mask.") | |
cv2.imwrite(face_save_path, mask) | |
print(f"Lip mask saved to {face_save_path}") | |
else: | |
print(f"{images_folder} does not exist") | |
continue |