Wpf:K6dZddlZddlmZmZmZmZddlmZddlm Z ddl m Z ddl m Z ddl mZdd l mZdd lmZdd lmZdd lmZdd lmZddlmZddlmZddl m!Z!ddl"m#Z#ddl"m$Z%ddl"m&Z'ej(Z)ej*Z+ej,Z-e'j.Z/e%j0Z1ej2Z3dZ4dZ5dZ6dZ7dZ8dZ9dZ:dZ;dZdZ?d Z@d!ZAd"ZBd#ZCejDGd$d%ZEd&eeFejGfd'eEfd(ZHejDGd)d*ZIGd+d,e#jJZKdS)-z"MediaPipe gesture recognizer task.N)CallableMappingOptionalList)classification_pb2) landmark_pb2)packet_creator) packet_getter)image)packet)$gesture_recognizer_graph_options_pb2)category)landmark)classifier_options base_options) task_info) doc_controls)base_vision_task_api)image_processing_options)vision_task_running_modeimage_in image_outIMAGE norm_rect_in NORM_RECT hand_gestures HAND_GESTURES handedness HANDEDNESS landmarks LANDMARKSworld_landmarksWORLD_LANDMARKSz@mediapipe.tasks.vision.gesture_recognizer.GestureRecognizerGraphiceZdZUdZeeejed<eeejed<eeej ed<eeej ed<dS)GestureRecognizerResulta0The gesture recognition result from GestureRecognizer, where each vector element represents a single hand detected in the image. Attributes: gestures: Recognized hand gestures of detected hands. Note that the index of the gesture is always -1, because the raw indices from multiple gesture classifiers cannot consolidate to a meaningful index. handedness: Classification of handedness. hand_landmarks: Detected hand landmarks in normalized image coordinates. hand_world_landmarks: Detected hand landmarks in world coordinates. gesturesrhand_landmarkshand_world_landmarksN) __name__ __module__ __qualname____doc__rcategory_moduleCategory__annotations__landmark_moduleNormalizedLandmarkLandmarkp/var/www/html/nettyfy-visnx/env/lib/python3.11/site-packages/mediapipe/tasks/python/vision/gesture_recognizer.pyr'r'As   o./ 00004012222tO>?@@@@T/":;<<<<<.packets_callback,s . / 8 8 : :%n5K&LMMe 1 2 ; ; = =%&?@  #BB 3 3   " (,J J   ";N"K"K !:;Ei  #  /; ;r6:) task_graph input_streamsoutput_streams task_options)enable_flow_limitingN)rstr packet_modulePacket _TaskInfo_TASK_GRAPH_NAMEjoin _IMAGE_TAG_IMAGE_IN_STREAM_NAME_NORM_RECT_TAG_NORM_RECT_STREAM_NAME_HAND_GESTURE_TAGr@_HANDEDNESS_TAGrA_HAND_LANDMARKS_TAGrB_HAND_WORLD_LANDMARKS_TAGrCrgenerate_graph_configrbrn LIVE_STREAMrk)rrrrs ` r7rz%GestureRecognizer.create_from_optionssS$m6J1J)K.# HHj"78 9 9 HHn&<= > > HH')BC D D HHo'>? @ @ HH)+FG H H HH*,MN   HHj"89 : : I" 3''!(!5'"( (   #3=   r6Nr rc d|||d}|ttj|t tj|i}|t rtggggSt|S)aaPerforms hand gesture recognition on the given image. Only use this method when the GestureRecognizer is created with the image running mode. The image can be of any size with format RGB or RGBA. TODO: Describes how the input image will be preprocessed after the yuv support is implemented. Args: image: MediaPipe Image. image_processing_options: Options for image processing. Returns: The hand gesture recognition results. Raises: ValueError: If any of the input arguments is invalid. RuntimeError: If gesture recognition failed to run. F roi_allowed) convert_to_normalized_rect_process_image_datarr create_imager create_protormr@rr'r_)ryr rnormalized_rectr8s r7 recognizezGestureRecognizer.recognize]s255 %U6O--~:5AA ;  " " $ $! ! /N/099;;5 $RR 4 44 $^ 4 44r6 timestamp_msc |||d}|ttj||t zttj| |t zi}|t rtggggSt|S)a6Performs gesture recognition on the provided video frame. Only use this method when the GestureRecognizer is created with the video running mode. Only use this method when the GestureRecognizer is created with the video running mode. It's required to provide the video frame's timestamp (in milliseconds) along with the video frame. The input timestamps should be monotonically increasing for adjacent calls of this method. Args: image: MediaPipe Image. timestamp_ms: The timestamp of the input video frame in milliseconds. image_processing_options: Options for image processing. Returns: The hand gesture recognition results. Raises: ValueError: If any of the input arguments is invalid. RuntimeError: If gesture recognition failed to run. Fr)r_process_video_datarr ratrrrrmr@rr'r_)ryr rrrr8s r7recognize_for_videoz%GestureRecognizer.recognize_for_videos855 %U6O--~:5AADD 9 9    ;  " " $ $! ! "\: : ; ; /N/099;;5 $RR 4 44 $^ 4 44r6c T|||d}|ttj||t zttj| |t zidS)avSends live image data to perform gesture recognition. The results will be available via the "result_callback" provided in the GestureRecognizerOptions. Only use this method when the GestureRecognizer is created with the live stream running mode. Only use this method when the GestureRecognizer is created with the live stream running mode. The input timestamps should be monotonically increasing for adjacent calls of this method. This method will return immediately after the input image is accepted. The results will be available via the `result_callback` provided in the `GestureRecognizerOptions`. The `recognize_async` method is designed to process live stream data such as camera input. To lower the overall latency, gesture recognizer may drop the input images if needed. In other words, it's not guaranteed to have output per input image. The `result_callback` provides: - The hand gesture recognition results. - The input image that the gesture recognizer runs on. - The input timestamp in milliseconds. Args: image: MediaPipe Image. timestamp_ms: The timestamp of the input image in milliseconds. image_processing_options: Options for image processing. Raises: ValueError: If the current input timestamp is smaller than what the gesture recognizer has already processed. FrN) r_send_live_stream_datarr rrrrrrm)ryr rrrs r7recognize_asyncz!GestureRecognizer.recognize_asyncsH55 %U6O ~:5AADD 9 9    ;  " " $ $! ! "\: : ; ; !r6r)r+r,r-r. classmethodrrrarrrr_ImageProcessingOptionsr'rrrrr5r6r7rrsc::,c,6I,,,;,0@,@@@@;@JEI&5&5  &5!))@ A&5 &5&5&5&5XEI +5+5  +5+5!))@ A +5  +5+5+5+5bEI ..  ..!))@ A .  ......r6r)Lr.rtypingrrrrmediapipe.framework.formatsrrmediapipe.pythonr r $mediapipe.python._framework_bindingsr rr r2mediapipe.tasks.cc.vision.gesture_recognizer.protor ,mediapipe.tasks.python.components.containersrr/rr2,mediapipe.tasks.python.components.processorsrmediapipe.tasks.python.corerbase_options_modulertask_info_module1mediapipe.tasks.python.core.optional_dependenciesr"mediapipe.tasks.python.vision.corerrimage_processing_options_modulerrunning_mode_module BaseOptionsr~GestureRecognizerGraphOptionsrpClassifierOptionsrVisionTaskRunningModernImageProcessingOptionsrTaskInforrrrrrr@rrArrBrrCrrrrH dataclassr'rrr_raBaseVisionTaskApirr5r6r7rs)(444444444444::::::444444++++++******FFFFFFHHHHHHccccccTTTTTTTTTTTTKKKKKKKKKKKKEEEEEEJJJJJJCCCCCCjjjjjj^^^^^^". (F$(9"8 9P  % "$  '+#&)!$5!-F"& ========$LC!556LLLLL^ W,W,W,W,W,W,W,W,tbbbbb,>bbbbbr6