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| import os | |
| #simple single version | |
| def bbox_to_glandmarks(file_name,bbox,points = None): | |
| base,ext = os.path.splitext(file_name) | |
| glandmark = {"image":{ | |
| "boxes":[{ | |
| "left":int(bbox[0]),"top":int(bbox[1]),"width":int(bbox[2]),"height":int(bbox[3]) | |
| }], | |
| "file":file_name, | |
| "id":int(base) | |
| # width,height ignore here | |
| }} | |
| if points is not None: | |
| parts=[ | |
| ] | |
| for point in points: | |
| parts.append({"x":int(point[0]),"y":int(point[1])}) | |
| glandmark["image"]["boxes"][0]["parts"] = parts | |
| return glandmark | |
| #technically this is not g-landmark/dlib , | |
| def convert_to_landmark_group_json(points): | |
| if len(points)!=68: | |
| print(f"points must be 68 but {len(points)}") | |
| return None | |
| new_points=list(points) | |
| result = [ # possible multi person ,just possible any func support multi person | |
| { # index start 0 but index-number start 1 | |
| "chin":new_points[0:17], | |
| "left_eyebrow":new_points[17:22], | |
| "right_eyebrow":new_points[22:27], | |
| "nose_bridge":new_points[27:31], | |
| "nose_tip":new_points[31:36], | |
| "left_eye":new_points[36:42], | |
| "right_eye":new_points[42:48], | |
| # lip points customized structure | |
| # MIT licensed face_recognition | |
| # https://github.com/ageitgey/face_recognition | |
| "top_lip":new_points[48:55]+[new_points[64]]+[new_points[63]]+[new_points[62]]+[new_points[61]]+[new_points[60]], | |
| "bottom_lip":new_points[54:60]+[new_points[48]]+[new_points[60]]+[new_points[67]]+[new_points[66]]+[new_points[65]]+[new_points[64]], | |
| } | |
| ] | |
| return result |