Wpf8dZddlZddlmZddlZddlmZddlmZddlm Z ddl m Z ddl m Z dd l m Z dd l mZdd l mZdd lmZdd lmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZGddejZdZGddeZ dS)zMediaPipe Hands.N) NamedTuple)#constant_side_packet_calculator_pb2)gate_calculator_pb2)split_vector_calculator_pb2)image_to_tensor_calculator_pb2)inference_calculator_pb2)(tensors_to_classification_calculator_pb2)$tensors_to_detections_calculator_pb2)#tensors_to_landmarks_calculator_pb2)ssd_anchors_calculator_pb2)association_calculator_pb2)"detections_to_rects_calculator_pb2)logic_calculator_pb2)"non_max_suppression_calculator_pb2)"rect_transformation_calculator_pb2)thresholding_calculator_pb2) SolutionBase)HAND_CONNECTIONScfeZdZdZdZdZdZdZdZdZ dZ d Z d Z d Z d Zd ZdZdZdZdZdZdZdZdZdZdS) HandLandmarkzThe 21 hand landmarks.r N)__name__ __module__ __qualname____doc__WRIST THUMB_CMC THUMB_MCPTHUMB_IP THUMB_TIPINDEX_FINGER_MCPINDEX_FINGER_PIPINDEX_FINGER_DIPINDEX_FINGER_TIPMIDDLE_FINGER_MCPMIDDLE_FINGER_PIPMIDDLE_FINGER_DIPMIDDLE_FINGER_TIPRING_FINGER_MCPRING_FINGER_PIPRING_FINGER_DIPRING_FINGER_TIP PINKY_MCP PINKY_PIP PINKY_DIP PINKY_TIP`/var/www/html/nettyfy-visnx/env/lib/python3.11/site-packages/mediapipe/python/solutions/hands.pyrr-s %)) ()////))))))rErzCmediapipe/modules/hand_landmark/hand_landmark_tracking_cpu.binarypbcLeZdZdZ d fd Zdejdeffd ZxZ S) HandsaOMediaPipe Hands. MediaPipe Hands processes an RGB image and returns the hand landmarks and handedness (left v.s. right hand) of each detected hand. Note that it determines handedness assuming the input image is mirrored, i.e., taken with a front-facing/selfie camera ( https://en.wikipedia.org/wiki/Front-facing_camera) with images flipped horizontally. If that is not the case, use, for instance, cv2.flip(image, 1) to flip the image first for a correct handedness output. Please refer to https://solutions.mediapipe.dev/hands#python-solution-api for usage examples. Frr?cptt||| d||dgddS)aHInitializes a MediaPipe Hand object. Args: static_image_mode: Whether to treat the input images as a batch of static and possibly unrelated images, or a video stream. See details in https://solutions.mediapipe.dev/hands#static_image_mode. max_num_hands: Maximum number of hands to detect. See details in https://solutions.mediapipe.dev/hands#max_num_hands. model_complexity: Complexity of the hand landmark model: 0 or 1. Landmark accuracy as well as inference latency generally go up with the model complexity. See details in https://solutions.mediapipe.dev/hands#model_complexity. min_detection_confidence: Minimum confidence value ([0.0, 1.0]) for hand detection to be considered successful. See details in https://solutions.mediapipe.dev/hands#min_detection_confidence. min_tracking_confidence: Minimum confidence value ([0.0, 1.0]) for the hand landmarks to be considered tracked successfully. See details in https://solutions.mediapipe.dev/hands#min_tracking_confidence. )model_complexity num_handsuse_prev_landmarks)z@palmdetectioncpu__TensorsToDetectionsCalculator.min_score_threshz1handlandmarkcpu__ThresholdingCalculator.threshold)multi_hand_landmarksmulti_hand_world_landmarksmulti_handedness)binary_graph_path side_inputscalculator_paramsoutputsN)super__init___BINARYPB_FILE_PATH)selfstatic_image_mode max_num_handsrKmin_detection_confidencemin_tracking_confidence __class__s rFrVzHands.__init__Ysj2 GG- 0&&7"7  )'           rEimagereturncLtd|iS)aCProcesses an RGB image and returns the hand landmarks and handedness of each detected hand. Args: image: An RGB image represented as a numpy ndarray. Raises: RuntimeError: If the underlying graph throws any error. ValueError: If the input image is not three channel RGB. Returns: A NamedTuple object with the following fields: 1) a "multi_hand_landmarks" field that contains the hand landmarks on each detected hand. 2) a "multi_hand_world_landmarks" field that contains the hand landmarks on each detected hand in real-world 3D coordinates that are in meters with the origin at the hand's approximate geometric center. 3) a "multi_handedness" field that contains the handedness (left v.s. right hand) of the detected hand. r^) input_data)rUprocess)rXr^r]s rFrbz Hands.processs"* 77??w&6? 7 77rE)FrrrIrI) r+r,r-r.rVnpndarrayrrb __classcell__)r]s@rFrHrHIs   "' !(+'* ) ) ) ) ) ) V82:8*8888888888rErH)!r.enumtypingrnumpyrcmediapipe.calculators.corerrrmediapipe.calculators.tensorrrr r r mediapipe.calculators.tfliter mediapipe.calculators.utilr rrrrrmediapipe.python.solution_baser,mediapipe.python.solutions.hands_connectionsrIntEnumrrWrHrDrErFrps KJJJJJ::::::BBBBBBGGGGGGAAAAAAQQQQQQMMMMMMLLLLLLCCCCCCAAAAAAIIIIII;;;;;;IIIIIIIIIIIIBBBBBB777777IIIIII4<2\P8P8P8P8P8LP8P8P8P8P8rE