>|h) ddlmZmZmZmZddlZddlmZddlm Z m Z ddl m Z m Z mZ ddeeej fdeeefded ed ed ed ed eeeeffdZy))AnyDictListUnionN)tqdm)modeling detection)GenderRaceEmotionimg_pathactionsenforce_detectiondetector_backendalignexpand_percentagesilentreturnc Ft|tr|f}t|dr|s tdt |}|D]}|dvstdt |dg}t j|d|d|||} | D]} | d } | d } | d } | jd d kDs&| jd d kDs9i}ttd t|dt|d kDr|nd}|D] }||}|jd||dk(rtjdj| }|j!}i|d<t#t$j&D]\}}d||z|z }||d|<t$j&t)j*||d<n]|dk(r4tjdj| }t-||d<n$|dk(rtjdj| }i|d<t#t.j&D]\}}d||z}||d|<t.j&t)j*||d<n|dk(rtjdj| }|j!}i|d<t#t0j&D]\}}d||z|z }||d|<t0j&t)j*||d<| |d<| |d<#|j3||S) a& Analyze facial attributes such as age, gender, emotion, and race in the provided image. Args: img_path (str or np.ndarray): The exact path to the image, a numpy array in BGR format, or a base64 encoded image. If the source image contains multiple faces, the result will include information for each detected face. actions (tuple): Attributes to analyze. The default is ('age', 'gender', 'emotion', 'race'). You can exclude some of these attributes from the analysis if needed. enforce_detection (boolean): If no face is detected in an image, raise an exception. Set to False to avoid the exception for low-resolution images (default is True). detector_backend (string): face detector backend. Options: 'opencv', 'retinaface', 'mtcnn', 'ssd', 'dlib', 'mediapipe', 'yolov8' (default is opencv). distance_metric (string): Metric for measuring similarity. Options: 'cosine', 'euclidean', 'euclidean_l2' (default is cosine). align (boolean): Perform alignment based on the eye positions (default is True). expand_percentage (int): expand detected facial area with a percentage (default is 0). silent (boolean): Suppress or allow some log messages for a quieter analysis process (default is False). Returns: results (List[Dict[str, Any]]): A list of dictionaries, where each dictionary represents the analysis results for a detected face. Each dictionary in the list contains the following keys: - 'region' (dict): Represents the rectangular region of the detected face in the image. - 'x': x-coordinate of the top-left corner of the face. - 'y': y-coordinate of the top-left corner of the face. - 'w': Width of the detected face region. - 'h': Height of the detected face region. - 'age' (float): Estimated age of the detected face. - 'face_confidence' (float): Confidence score for the detected face. Indicates the reliability of the face detection. - 'dominant_gender' (str): The dominant gender in the detected face. Either "Man" or "Woman." - 'gender' (dict): Confidence scores for each gender category. - 'Man': Confidence score for the male gender. - 'Woman': Confidence score for the female gender. - 'dominant_emotion' (str): The dominant emotion in the detected face. Possible values include "sad," "angry," "surprise," "fear," "happy," "disgust," and "neutral." - 'emotion' (dict): Confidence scores for each emotion category. - 'sad': Confidence score for sadness. - 'angry': Confidence score for anger. - 'surprise': Confidence score for surprise. - 'fear': Confidence score for fear. - 'happy': Confidence score for happiness. - 'disgust': Confidence score for disgust. - 'neutral': Confidence score for neutrality. - 'dominant_race' (str): The dominant race in the detected face. Possible values include "indian," "asian," "latino hispanic," "black," "middle eastern," and "white." - 'race' (dict): Confidence scores for each race category. - 'indian': Confidence score for Indian ethnicity. - 'asian': Confidence score for Asian ethnicity. - 'latino hispanic': Confidence score for Latino/Hispanic ethnicity. - 'black': Confidence score for Black ethnicity. - 'middle eastern': Confidence score for Middle Eastern ethnicity. - 'white': Confidence score for White ethnicity. __getitem__z$`actions` must be a list of strings.emotionagegenderracezInvalid action passed (z9)). Valid actions are `emotion`, `age`, `gender`, `race`.)rF)r target_sizer grayscalerrrface facial_area confidencerzFinding actionsT)descdisablezAction: rr ddominant_emotionrAgerr dominant_genderrr dominant_raceregionface_confidence) isinstancestrhasattr ValueErrorlistreprr extract_facesshaperrangelenset_descriptionr build_modelpredictsum enumerater labelsnpargmaxintr r append)r rrrrrraction resp_objectsimg_objsimg_obj img_content img_regionimg_confidenceobjpbarindexemotion_predictionssum_of_predictionsi emotion_labelemotion_prediction apparent_agegender_predictions gender_labelgender_predictionrace_predictions race_labelrace_predictions Z/var/www/html/test/engine/venv/lib/python3.12/site-packages/deepface/modules/demography.pyanalyzerW sn'3* 7M *'?@@7mG = =)$v,8HH L&&)++H:%fo ]+  .   Q ! # (9(9!(*>y*I*Q*QR]*^')<)@)@)B&%'C N,5gnn,EK(=-03Fq3I-IL^-^*8JI}5K/6nnRYYGZ=[.\C*+u_#+#7#7#>#F#F{#SL!$\!2CJx')1)=)=h)G)O)OP[)\&$&CM+4V]]+CH<,/2DQ2G,G)6GH l3H.4]]299EW;X-YC)*v%'/';';F'C'K'KK'X$)9)=)=)?&"$CK)24;;)?B :*-0@0C*CFX*X2AF J/B,0;;ryyAQ7R+SC(!+H )7%&Y, 8\    $u:%x )rTopencvTrF)typingrrrrnumpyr<rdeepface.modulesrr deepface.extendedmodelsr r r r-ndarraytupler0boolr>rWrXrVrbs))199 #G"$pCO$p 5$; pp p  p  p p $sCx.prX