Error occurred when executing MediaPipe-FaceMeshPreprocessor:

Failed to parse: node { calculator: "ImagePropertiesCalculator" input_stream: "IMAGE:image" output_stream: "SIZE:image_size" } node { calculator: "PreviousLoopbackCalculator" input_stream: "MAIN:image" input_stream: "LOOP:face_rects_from_landmarks" output_stream: "PREV_LOOP:prev_face_rects_from_landmarks" input_stream_info { tag_index: "LOOP" back_edge: true } } node { calculator: "GateCalculator" input_stream: "prev_face_rects_from_landmarks" output_stream: "gated_prev_face_rects_from_landmarks" input_side_packet: "ALLOW:use_prev_landmarks" options { [mediapipe.GateCalculatorOptions.ext] { allow: true } } } node { calculator: "NormalizedRectVectorHasMinSizeCalculator" input_stream: "ITERABLE:gated_prev_face_rects_from_landmarks" output_stream: "prev_has_enough_faces" input_side_packet: "num_faces" } node { calculator: "GateCalculator" input_stream: "image" input_stream: "DISALLOW:prev_has_enough_faces" output_stream: "gated_image" options { [mediapipe.GateCalculatorOptions.ext] { empty_packets_as_allow: true } } } node { calculator: "ImagePropertiesCalculator" input_stream: "IMAGE:gated_image" output_stream: "SIZE:gated_image_size" } node { name: "facelandmarkcpuTfLiteCustomOpResolverCalculator" calculator: "TfLiteCustomOpResolverCalculator" output_side_packet: "OP_RESOLVER:facelandmarkcpu__op_resolver" } node { name: "facedetectionshortrangecpufacedetectionshortrangefacedetectionToImageCalculator" calculator: "ToImageCalculator" input_stream: "IMAGE:gated_image" output_stream: "IMAGE:facedetectionshortrangecpufacedetectionshortrangefacedetectionmulti_backend_image" } node { name: "facedetectionshortrangecpufacedetectionshortrangefacedetectionImageToTensorCalculator" calculator: "ImageToTensorCalculator" input_stream: "IMAGE:facedetectionshortrangecpufacedetectionshortrangefacedetectionmulti_backend_image" output_stream: "TENSORS:facedetectionshortrangecpufacedetectionshortrangefacedetectioninput_tensors" output_stream: "MATRIX:facedetectionshortrangecpufacedetectionshortrangefacedetectiontransform_matrix" node_options { type_url: "type.googleapis.com/mediapipe.ImageToTensorCalculatorOptions" value: "\030\001"\n\r\000\000\200\277\025\000\000\200?0\001\010\200\001\020\200\001" } } node { name: "facedetectionshortrangecpufacedetectionshortrangefacedetectionSsdAnchorsCalculator" calculator: "SsdAnchorsCalculator" output_side_packet: "facedetectionshortrangecpufacedetectionshortrangefacedetectionanchors" node_options { type_url: "type.googleapis.com/mediapipe.SsdAnchorsCalculatorOptions" value: "\035\000\000\030>%\000\000@?-\000\000\000?5\000\000\000?]\000\000\200?p\001\010\200\001\020\200\0018\004P\010P\020P\020P\020m\000\000\200?" } } node { name: "facelandmarkcpufacelandmarksmodelloaderswitchcontainerSwitchDemuxCalculator" calculator: "SwitchDemuxCalculator" input_side_packet: "ENABLE:with_attention" options { [mediapipe.SwitchContainerOptions.ext] { } } } node { name: "facelandmarkcpufacelandmarksmodelloaderswitchcontainerConstantSidePacketCalculator_1" calculator: "ConstantSidePacketCalculator" output_side_packet: "PACKET:facelandmarkcpufacelandmarksmodelloaderswitchcontainerc0facelandmarkcpufacelandmarksmodelloadermodel_path" options { [mediapipe.ConstantSidePacketCalculatorOptions.ext] { packet { string_value: "mediapipe/modules/face_landmark/face_landmark.tflite" } } } } node { name: "facelandmarkcpufacelandmarksmodelloaderswitchcontainer__ConstantSidePacketCalculator_2" calculator: "ConstantSidePacketCalculator" output_side_packet: "PACKET:facelandmarkcpufacelandmarksmodelloaderswitchcontainerc1facelandmarkcpufacelandmarksmodelloadermodel_path" options { [mediapipe.ConstantSidePacketCalculatorOptions.ext] { packet { string_value: "mediapipe/modules/face_landmark/face_landmark_with_attention.tflite" } } } } node { name: "facelandmarkcpufacelandmarksmodelloaderswitchcontainerSwitchMuxCalculator" calculator: "SwitchMuxCalculator" input_side_packet: "ENABLE:with_attention" input_side_packet: "C0PACKET:facelandmarkcpufacelandmarksmodelloaderswitchcontainerc0facelandmarkcpufacelandmarksmodelloadermodel_path" input_side_packet: "C1PACKET:facelandmarkcpufacelandmarksmodelloaderswitchcontainerc1facelandmarkcpufacelandmarksmodelloader__model_path" output_side_packet: "PACKET:facelandmarkcpufacelandmarksmodelloadermodel_path" options { [mediapipe.SwitchContainerOptions.ext] { } } } node { name: "facelandmarkcpufacelandmarksmodelloaderLocalFileContentsCalculator" calculator: "LocalFileContentsCalculator" input_side_packet: "FILE_PATH:facelandmarkcpufacelandmarksmodelloadermodel_path" output_side_packet: "CONTENTS:facelandmarkcpufacelandmarksmodelloadermodel_blob" } node { name: "facelandmarkcpufacelandmarksmodelloaderTfLiteModelCalculator" calculator: "TfLiteModelCalculator" input_side_packet: "MODEL_BLOB:facelandmarkcpufacelandmarksmodelloadermodel_blob" output_side_packet: "MODEL:facelandmarkcpumodel" } node { name: "facedetectionshortrangecpufacedetectionshortrangefacedetectioninferencecalculatorfacedetectionshortrangecpufacedetectionshortrangefacedetectionInferenceCalculator" calculator: "InferenceCalculatorCpu" input_stream: "TENSORS:facedetectionshortrangecpufacedetectionshortrangefacedetectioninput_tensors" output_stream: "TENSORS:facedetectionshortrangecpufacedetectionshortrangefacedetectiondetection_tensors" node_options { type_url: "type.googleapis.com/mediapipe.InferenceCalculatorOptions" value: "*\002"\000\nBmediapipe/modules/face_detection/face_detection_short_range.tflite" } } node { name: "facedetectionshortrangecpufacedetectionshortrangefacedetectionTensorsToDetectionsCalculator" calculator: "TensorsToDetectionsCalculator" input_stream: "TENSORS:facedetectionshortrangecpufacedetectionshortrangefacedetectiondetection_tensors" output_stream: "DETECTIONS:facedetectionshortrangecpufacedetectionshortrangefacedetectionunfiltered_detections" input_side_packet: "ANCHORS:facedetectionshortrangecpufacedetectionshortrangefacedetectionanchors" node_options { type_url: "type.googleapis.com/mediapipe.TensorsToDetectionsCalculatorOptions" value: "\010\001\020\200\007\030\020%\000\000\000C-\000\000\000C5\000\000\000C=\000\000\000CH\004P\006X\002`\000p\001x\001\205\001\000\000\310B\235\001\000\000\000?" } } node { name: "facedetectionshortrangecpufacedetectionshortrangefacedetectionNonMaxSuppressionCalculator" calculator: "NonMaxSuppressionCalculator" input_stream: "facedetectionshortrangecpufacedetectionshortrangefacedetectionunfiltered_detections" output_stream: "facedetectionshortrangecpufacedetectionshortrangefacedetectionfiltered_detections" options { [mediapipe.NonMaxSuppressionCalculatorOptions.ext] { min_suppression_threshold: 0.3 overlap_type: INTERSECTION_OVER_UNION algorithm: WEIGHTED } } } node { name: "facedetectionshortrangecpufacedetectionshortrangefacedetectionDetectionProjectionCalculator" calculator: "DetectionProjectionCalculator" input_stream: "DETECTIONS:facedetectionshortrangecpufacedetectionshortrangefacedetection__filtered_detections" input_stream: "PROJECTION_MATRIX:facedetectionshortrangecpufacedetectionshortrangefacedetectiontransform_matrix" output_stream: "DETECTIONS:all_face_detections" } node { calculator: "ClipDetectionVectorSizeCalculator" input_stream: "all_face_detections" output_stream: "face_detections" input_side_packet: "num_faces" } node { calculator: "BeginLoopDetectionCalculator" input_stream: "ITERABLE:face_detections" input_stream: "CLONE:gated_image_size" output_stream: "ITEM:face_detection" output_stream: "CLONE:detections_loop_image_size" output_stream: "BATCH_END:detections_loop_end_timestamp" } node { name: "facedetectionfrontdetectiontoroiDetectionsToRectsCalculator" calculator: "DetectionsToRectsCalculator" input_stream: "DETECTION:face_detection" input_stream: "IMAGE_SIZE:detections_loop_image_size" output_stream: "NORM_RECT:facedetectionfrontdetectiontoroi__initial_roi" options { [mediapipe.DetectionsToRectsCalculatorOptions.ext] { rotation_vector_start_keypoint_index: 0 rotation_vector_end_keypoint_index: 1 rotation_vector_target_angle_degrees: 0 } } } node { name: "facedetectionfrontdetectiontoroiRectTransformationCalculator" calculator: "RectTransformationCalculator" input_stream: "NORM_RECT:facedetectionfrontdetectiontoroiinitial_roi" input_stream: "IMAGE_SIZE:detections_loop_image_size" output_stream: "face_rect_from_detection" options { [mediapipe.RectTransformationCalculatorOptions.ext] { scale_x: 1.5 scale_y: 1.5 square_long: true } } } node { calculator: "EndLoopNormalizedRectCalculator" input_stream: "ITEM:face_rect_from_detection" input_stream: "BATCH_END:detections_loop_end_timestamp" output_stream: "ITERABLE:face_rects_from_detections" } node { calculator: "AssociationNormRectCalculator" input_stream: "face_rects_from_detections" input_stream: "gated_prev_face_rects_from_landmarks" output_stream: "face_rects" options { [mediapipe.AssociationCalculatorOptions.ext] { min_similarity_threshold: 0.5 } } } node { calculator: "BeginLoopNormalizedRectCalculator" input_stream: "ITERABLE:face_rects" input_stream: "CLONE:0:image" input_stream: "CLONE:1:image_size" output_stream: "ITEM:face_rect" output_stream: "CLONE:0:landmarks_loop_image" output_stream: "CLONE:1:landmarks_loop_image_size" output_stream: "BATCH_END:landmarks_loop_end_timestamp" } node { name: "facelandmarkcpu__ImageToTensorCalculator" calculator: "ImageToTensorCalculator" input_stream: "IMAGE:landmarks_loop_image" input_stream: "NORM_RECT:face_rect" output_stream: "TENSORS:facelandmarkcpuinput_tensors" options { [mediapipe.ImageToTensorCalculatorOptions.ext] { output_tensor_width: 192 output_tensor_height: 192 output_tensor_float_range { min: 0 max: 1 } } } } node { name: "facelandmarkcpuinferencecalculatorfacelandmarkcpuInferenceCalculator" calculator: "InferenceCalculatorCpu" input_stream: "TENSORS:facelandmarkcpuinput_tensors" output_stream: "TENSORS:facelandmarkcpuoutput_tensors" input_side_packet: "MODEL:facelandmarkcpumodel" input_side_packet: "OP_RESOLVER:facelandmarkcpuop_resolver" options { [mediapipe.InferenceCalculatorOptions.ext] { delegate { xnnpack { } } } } } node { name: "facelandmarkcpu__switchcontainer_1SwitchDemuxCalculator" calculator: "SwitchDemuxCalculator" input_stream: "facelandmarkcpuoutput_tensors" output_stream: "C0:facelandmarkcpuswitchcontainer_1c0facelandmarkcpuoutput_tensors" output_stream: "C1:facelandmarkcpu__switchcontainer_1c1facelandmarkcpuoutput_tensors" input_side_packet: "ENABLE:with_attention" options { [mediapipe.SwitchContainerOptions.ext] { } } } node { name: "facelandmarkcpuswitchcontainer_1SplitTensorVectorCalculator_1" calculator: "SplitTensorVectorCalculator" input_stream: "facelandmarkcpuswitchcontainer_1c0facelandmarkcpuoutput_tensors" output_stream: "facelandmarkcpuswitchcontainer_1c0facelandmarkcpulandmark_tensors" output_stream: "facelandmarkcpuswitchcontainer_1c0facelandmarkcpuface_flag_tensor" options { [mediapipe.SplitVectorCalculatorOptions.ext] { ranges { begin: 0 end: 1 } ranges { begin: 1 end: 2 } } } } node { name: "facelandmarkcpuswitchcontainer_1SplitTensorVectorCalculator_2" calculator: "SplitTensorVectorCalculator" input_stream: "facelandmarkcpuswitchcontainer_1c1facelandmarkcpuoutput_tensors" output_stream: "facelandmarkcpuswitchcontainer_1c1facelandmarkcpulandmark_tensors" output_stream: "facelandmarkcpuswitchcontainer_1c1facelandmarkcpuface_flag_tensor" options { [mediapipe.SplitVectorCalculatorOptions.ext] { ranges { begin: 0 end: 6 } ranges { begin: 6 end: 7 } } } } node { name: "facelandmarkcpuswitchcontainer_1__SwitchMuxCalculator" calculator: "SwitchMuxCalculator" input_stream: "C0:facelandmarkcpuswitchcontainer_1c0facelandmarkcpulandmark_tensors" input_stream: "C0:1:facelandmarkcpu__switchcontainer_1c0facelandmarkcpuface_flag_tensor" input_stream: "C1:facelandmarkcpuswitchcontainer_1c1facelandmarkcpulandmark_tensors" input_stream: "C1:1:facelandmarkcpuswitchcontainer_1c1facelandmarkcpu__face_flag_tensor" output_stream: "facelandmarkcpulandmark_tensors" output_stream: "facelandmarkcpuface_flag_tensor" input_side_packet: "ENABLE:with_attention" options { [mediapipe.SwitchContainerOptions.ext] { } } } node { name: "facelandmarkcpu__TensorsToFloatsCalculator" calculator: "TensorsToFloatsCalculator" input_stream: "TENSORS:facelandmarkcpuface_flag_tensor" output_stream: "FLOAT:facelandmarkcpuface_presence_score" options { [mediapipe.TensorsToFloatsCalculatorOptions.ext] { activation: SIGMOID } } } node { name: "facelandmarkcpuThresholdingCalculator" calculator: "ThresholdingCalculator" input_stream: "FLOAT:facelandmarkcpuface_presence_score" output_stream: "FLAG:facelandmarkcpu__face_presence" options { [mediapipe.ThresholdingCalculatorOptions.ext] { threshold: 0.5 } } } node { name: "facelandmarkcpuGateCalculator" calculator: "GateCalculator" input_stream: "facelandmarkcpulandmark_tensors" input_stream: "ALLOW:facelandmarkcpuface_presence" output_stream: "facelandmarkcpuensured_landmark_tensors" } node { name: "facelandmarkcpuswitchcontainer_2SwitchDemuxCalculator" calculator: "SwitchDemuxCalculator" input_stream: "TENSORS:facelandmarkcpu__ensured_landmark_tensors" output_stream: "C0TENSORS:facelandmarkcpuswitchcontainer_2c0facelandmarkcpu__ensured_landmark_tensors" output_stream: "C1TENSORS:facelandmarkcpuswitchcontainer_2c1facelandmarkcpu__ensured_landmark_tensors" input_side_packet: "ENABLE:with_attention" options { [mediapipe.SwitchContainerOptions.ext] { } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarksTensorsToLandmarksCalculator" calculator: "TensorsToLandmarksCalculator" input_stream: "TENSORS:facelandmarkcpuswitchcontainer_2c0facelandmarkcpuensured_landmark_tensors" output_stream: "NORM_LANDMARKS:facelandmarkcpuswitchcontainer_2c0facelandmarkcpulandmarks" options { [mediapipe.TensorsToLandmarksCalculatorOptions.ext] { num_landmarks: 468 input_image_width: 192 input_image_height: 192 } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionSplitTensorVectorCalculator" calculator: "SplitTensorVectorCalculator" input_stream: "facelandmarkcpuswitchcontainer_2c1facelandmarkcpuensured_landmark_tensors" output_stream: "facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionmesh_tensor" output_stream: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionlips_tensor" output_stream: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionleft_eye_tensor" output_stream: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionright_eye_tensor" output_stream: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionleft_iris_tensor" output_stream: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionright_iris_tensor" options { [mediapipe.SplitVectorCalculatorOptions.ext] { ranges { begin: 0 end: 1 } ranges { begin: 1 end: 2 } ranges { begin: 2 end: 3 } ranges { begin: 3 end: 4 } ranges { begin: 4 end: 5 } ranges { begin: 5 end: 6 } } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionTensorsToLandmarksCalculator_1" calculator: "TensorsToLandmarksCalculator" input_stream: "TENSORS:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionmesh_tensor" output_stream: "NORM_LANDMARKS:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionmesh_landmarks" options { [mediapipe.TensorsToLandmarksCalculatorOptions.ext] { num_landmarks: 468 input_image_width: 192 input_image_height: 192 } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionTensorsToLandmarksCalculator_2" calculator: "TensorsToLandmarksCalculator" input_stream: "TENSORS:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionlips_tensor" output_stream: "NORM_LANDMARKS:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionlips_landmarks" options { [mediapipe.TensorsToLandmarksCalculatorOptions.ext] { num_landmarks: 80 input_image_width: 192 input_image_height: 192 } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionTensorsToLandmarksCalculator_3" calculator: "TensorsToLandmarksCalculator" input_stream: "TENSORS:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionleft_eye_tensor" output_stream: "NORM_LANDMARKS:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionleft_eye_landmarks" options { [mediapipe.TensorsToLandmarksCalculatorOptions.ext] { num_landmarks: 71 input_image_width: 192 input_image_height: 192 } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionTensorsToLandmarksCalculator_4" calculator: "TensorsToLandmarksCalculator" input_stream: "TENSORS:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionright_eye_tensor" output_stream: "NORM_LANDMARKS:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionright_eye_landmarks" options { [mediapipe.TensorsToLandmarksCalculatorOptions.ext] { num_landmarks: 71 input_image_width: 192 input_image_height: 192 } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionTensorsToLandmarksCalculator_5" calculator: "TensorsToLandmarksCalculator" input_stream: "TENSORS:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionleft_iris_tensor" output_stream: "NORM_LANDMARKS:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionleft_iris_landmarks" options { [mediapipe.TensorsToLandmarksCalculatorOptions.ext] { num_landmarks: 5 input_image_width: 192 input_image_height: 192 } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionTensorsToLandmarksCalculator_6" calculator: "TensorsToLandmarksCalculator" input_stream: "TENSORS:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionright_iris_tensor" output_stream: "NORM_LANDMARKS:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionright_iris_landmarks" options { [mediapipe.TensorsToLandmarksCalculatorOptions.ext] { num_landmarks: 5 input_image_width: 192 input_image_height: 192 } } } node { name: "facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionLandmarksRefinementCalculator" calculator: "LandmarksRefinementCalculator" input_stream: "LANDMARKS:0:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionmesh_landmarks" input_stream: "LANDMARKS:1:facelandmarkcpuswitchcontainer_2tensorstofacelandmarkswithattentionlips_landmarks" input_stream: "LANDMARKS:2:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionleft_eye_landmarks" input_stream: "LANDMARKS:3:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionright_eye_landmarks" input_stream: "LANDMARKS:4:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionleft_iris_landmarks" input_stream: "LANDMARKS:5:facelandmarkcpu__switchcontainer_2tensorstofacelandmarkswithattentionright_iris_landmarks" output_stream: "REFINED_LANDMARKS:facelandmarkcpuswitchcontainer_2c1facelandmarkcpulandmarks" options { [mediapipe.LandmarksRefinementCalculatorOptions.ext] { refinement { indexes_mapping: 0 indexes_mapping: 1 indexes_mapping: 2 indexes_mapping: 3 indexes_mapping: 4 indexes_mapping: 5 indexes_mapping: 6 indexes_mapping: 7 indexes_mapping: 8 indexes_mapping: 9 indexes_mapping: 10 indexes_mapping: 11 indexes_mapping: 12 indexes_mapping: 13 indexes_mapping: 14 indexes_mapping: 15 indexes_mapping: 16 indexes_mapping: 17 indexes_mapping: 18 indexes_mapping: 19 indexes_mapping: 20 indexes_mapping: 21 indexes_mapping: 22 indexes_mapping: 23 indexes_mapping: 24 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indexes_mapping: 312 indexes_mapping: 313 indexes_mapping: 314 indexes_mapping: 315 indexes_mapping: 316 indexes_mapping: 317 indexes_mapping: 318 indexes_mapping: 319 indexes_mapping: 320 indexes_mapping: 321 indexes_mapping: 322 indexes_mapping: 323 indexes_mapping: 324 indexes_mapping: 325 indexes_mapping: 326 indexes_mapping: 327 indexes_mapping: 328 indexes_mapping: 329 indexes_mapping: 330 indexes_mapping: 331 indexes_mapping: 332 indexes_mapping: 333 indexes_mapping: 334 indexes_mapping: 335 indexes_mapping: 336 indexes_mapping: 337 indexes_mapping: 338 indexes_mapping: 339 indexes_mapping: 340 indexes_mapping: 341 indexes_mapping: 342 indexes_mapping: 343 indexes_mapping: 344 indexes_mapping: 345 indexes_mapping: 346 indexes_mapping: 347 indexes_mapping: 348 indexes_mapping: 349 indexes_mapping: 350 indexes_mapping: 351 indexes_mapping: 352 indexes_mapping: 353 indexes_mapping: 354 indexes_mapping: 355 indexes_mapping: 356 indexes_mapping: 357 indexes_mapping: 358 indexes_mapping: 359 indexes_mapping: 360 indexes_mapping: 361 indexes_mapping: 362 indexes_mapping: 363 indexes_mapping: 364 indexes_mapping: 365 indexes_mapping: 366 indexes_mapping: 367 indexes_mapping: 368 indexes_mapping: 369 indexes_mapping: 370 indexes_mapping: 371 indexes_mapping: 372 indexes_mapping: 373 indexes_mapping: 374 indexes_mapping: 375 indexes_mapping: 376 indexes_mapping: 377 indexes_mapping: 378 indexes_mapping: 379 indexes_mapping: 380 indexes_mapping: 381 indexes_mapping: 382 indexes_mapping: 383 indexes_mapping: 384 indexes_mapping: 385 indexes_mapping: 386 indexes_mapping: 387 indexes_mapping: 388 indexes_mapping: 389 indexes_mapping: 390 indexes_mapping: 391 indexes_mapping: 392 indexes_mapping: 393 indexes_mapping: 394 indexes_mapping: 395 indexes_mapping: 396 indexes_mapping: 397 indexes_mapping: 398 indexes_mapping: 399 indexes_mapping: 400 indexes_mapping: 401 indexes_mapping: 402 indexes_mapping: 403 indexes_mapping: 404 indexes_mapping: 405 indexes_mapping: 406 indexes_mapping: 407 indexes_mapping: 408 indexes_mapping: 409 indexes_mapping: 410 indexes_mapping: 411 indexes_mapping: 412 indexes_mapping: 413 indexes_mapping: 414 indexes_mapping: 415 indexes_mapping: 416 indexes_mapping: 417 indexes_mapping: 418 indexes_mapping: 419 indexes_mapping: 420 indexes_mapping: 421 indexes_mapping: 422 indexes_mapping: 423 indexes_mapping: 424 indexes_mapping: 425 indexes_mapping: 426 indexes_mapping: 427 indexes_mapping: 428 indexes_mapping: 429 indexes_mapping: 430 indexes_mapping: 431 indexes_mapping: 432 indexes_mapping: 433 indexes_mapping: 434 indexes_mapping: 435 indexes_mapping: 436 indexes_mapping: 437 indexes_mapping: 438 indexes_mapping: 439 indexes_mapping: 440 indexes_mapping: 441 indexes_mapping: 442 indexes_mapping: 443 indexes_mapping: 444 indexes_mapping: 445 indexes_mapping: 446 indexes_mapping: 447 indexes_mapping: 448 indexes_mapping: 449 indexes_mapping: 450 indexes_mapping: 451 indexes_mapping: 452 indexes_mapping: 453 indexes_mapping: 454 indexes_mapping: 455 indexes_mapping: 456 indexes_mapping: 457 indexes_mapping: 458 indexes_mapping: 459 indexes_mapping: 460 indexes_mapping: 461 indexes_mapping: 462 indexes_mapping: 463 indexes_mapping: 464 indexes_mapping: 465 indexes_mapping: 466 indexes_mapping: 467 z_refinement { copy { } } } refinement { indexes_mapping: 61 indexes_mapping: 146 indexes_mapping: 91 indexes_mapping: 181 indexes_mapping: 84 indexes_mapping: 17 indexes_mapping: 314 indexes_mapping: 405 indexes_mapping: 321 indexes_mapping: 375 indexes_mapping: 291 indexes_mapping: 185 indexes_mapping: 40 indexes_mapping: 39 indexes_mapping: 37 indexes_mapping: 0 indexes_mapping: 267 indexes_mapping: 269 indexes_mapping: 270 indexes_mapping: 409 indexes_mapping: 78 indexes_mapping: 95 indexes_mapping: 88 indexes_mapping: 178 indexes_mapping: 87 indexes_mapping: 14 indexes_mapping: 317 indexes_mapping: 402 indexes_mapping: 318 indexes_mapping: 324 indexes_mapping: 308 indexes_mapping: 191 indexes_mapping: 80 indexes_mapping: 81 indexes_mapping: 82 indexes_mapping: 13 indexes_mapping: 312 indexes_mapping: 311 indexes_mapping: 310 indexes_mapping: 415 indexes_mapping: 76 indexes_mapping: 77 indexes_mapping: 90 indexes_mapping: 180 indexes_mapping: 85 indexes_mapping: 16 indexes_mapping: 315 indexes_mapping: 404 indexes_mapping: 320 indexes_mapping: 307 indexes_mapping: 306 indexes_mapping: 184 indexes_mapping: 74 indexes_mapping: 73 indexes_mapping: 72 indexes_mapping: 11 indexes_mapping: 302 indexes_mapping: 303 indexes_mapping: 304 indexes_mapping: 408 indexes_mapping: 62 indexes_mapping: 96 indexes_mapping: 89 indexes_mapping: 179 indexes_mapping: 86 indexes_mapping: 15 indexes_mapping: 316 indexes_mapping: 403 indexes_mapping: 319 indexes_mapping: 325 indexes_mapping: 292 indexes_mapping: 183 indexes_mapping: 42 indexes_mapping: 41 indexes_mapping: 38 indexes_mapping: 12 indexes_mapping: 268 indexes_mapping: 271 indexes_mapping: 272 indexes_mapping: 407 z_refinement { none { } } } refinement { indexes_mapping: 33 indexes_mapping: 7 indexes_mapping: 163 indexes_mapping: 144 indexes_mapping: 145 indexes_mapping: 153 indexes_mapping: 154 indexes_mapping: 155 indexes_mapping: 133 indexes_mapping: 246 indexes_mapping: 161 indexes_mapping: 160 indexes_mapping: 159 indexes_mapping: 158 indexes_mapping: 157 indexes_mapping: 173 indexes_mapping: 130 indexes_mapping: 25 indexes_mapping: 110 indexes_mapping: 24 indexes_mapping: 23 indexes_mapping: 22 indexes_mapping: 26 indexes_mapping: 112 indexes_mapping: 243 indexes_mapping: 247 indexes_mapping: 30 indexes_mapping: 29 indexes_mapping: 27 indexes_mapping: 28 indexes_mapping: 56 indexes_mapping: 190 indexes_mapping: 226 indexes_mapping: 31 indexes_mapping: 228 indexes_mapping: 229 indexes_mapping: 230 indexes_mapping: 231 indexes_mapping: 232 indexes_mapping: 233 indexes_mapping: 244 indexes_mapping: 113 indexes_mapping: 225 indexes_mapping: 224 indexes_mapping: 223 indexes_mapping: 222 indexes_mapping: 221 indexes_mapping: 189 indexes_mapping: 35 indexes_mapping: 124 indexes_mapping: 46 indexes_mapping: 53 indexes_mapping: 52 indexes_mapping: 65 indexes_mapping: 143 indexes_mapping: 111 indexes_mapping: 117 indexes_mapping: 118 indexes_mapping: 119 indexes_mapping: 120 indexes_mapping: 121 indexes_mapping: 128 indexes_mapping: 245 indexes_mapping: 156 indexes_mapping: 70 indexes_mapping: 63 indexes_mapping: 105 indexes_mapping: 66 indexes_mapping: 107 indexes_mapping: 55 indexes_mapping: 193 z_refinement { none { } } } refinement { indexes_mapping: 263 indexes_mapping: 249 indexes_mapping: 390 indexes_mapping: 373 indexes_mapping: 374 indexes_mapping: 380 indexes_mapping: 381 indexes_mapping: 382 indexes_mapping: 362 indexes_mapping: 466 indexes_mapping: 388 indexes_mapping: 387 indexes_mapping: 386 indexes_mapping: 385 indexes_mapping: 384 indexes_mapping: 398 indexes_mapping: 359 indexes_mapping: 255 indexes_mapping: 339 indexes_mapping: 254 indexes_mapping: 253 indexes_mapping: 252 indexes_mapping: 256 indexes_mapping: 341 indexes_mapping: 463 indexes_mapping: 467 indexes_mapping: 260 indexes_mapping: 259 indexes_mapping: 257 indexes_mapping: 258 indexes_mapping: 286 indexes_mapping: 414 indexes_mapping: 446 indexes_mapping: 261 indexes_mapping: 448 indexes_mapping: 449 indexes_mapping: 450 indexes_mapping: 451 indexes_mapping: 452 indexes_mapping: 453 indexes_mapping: 464 indexes_mapping: 342 indexes_mapping: 445 indexes_mapping: 444 indexes_mapping: 443 indexes_mapping: 442 indexes_mapping: 441 indexes_mapping: 413 indexes_mapping: 265 indexes_mapping: 353 indexes_mapping: 276 indexes_mapping: 283 indexes_mapping: 282 indexes_mapping: 295 indexes_mapping: 372 indexes_mapping: 340 indexes_mapping: 346 indexes_mapping: 347 indexes_mapping: 348 indexes_mapping: 349 indexes_mapping: 350 indexes_mapping: 357 indexes_mapping: 465 indexes_mapping: 383 indexes_mapping: 300 indexes_mapping: 293 indexes_mapping: 334 indexes_mapping: 296 indexes_mapping: 336 indexes_mapping: 285 indexes_mapping: 417 z_refinement { none { } } } refinement { indexes_mapping: 468 indexes_mapping: 469 indexes_mapping: 470 indexes_mapping: 471 indexes_mapping: 472 z_refinement { assign_average { indexes_for_average: 33 indexes_for_average: 7 indexes_for_average: 163 indexes_for_average: 144 indexes_for_average: 145 indexes_for_average: 153 indexes_for_average: 154 indexes_for_average: 155 indexes_for_average: 133 indexes_for_average: 246 indexes_for_average: 161 indexes_for_average: 160 indexes_for_average: 159 indexes_for_average: 158 indexes_for_average: 157 indexes_for_average: 173 } } } refinement { indexes_mapping: 473 indexes_mapping: 474 indexes_mapping: 475 indexes_mapping: 476 indexes_mapping: 477 z_refinement { assign_average { indexes_for_average: 263 indexes_for_average: 249 indexes_for_average: 390 indexes_for_average: 373 indexes_for_average: 374 indexes_for_average: 380 indexes_for_average: 381 indexes_for_average: 382 indexes_for_average: 362 indexes_for_average: 466 indexes_for_average: 388 indexes_for_average: 387 indexes_for_average: 386 indexes_for_average: 385 indexes_for_average: 384 indexes_for_average: 398 } } } } } } node { name: "facelandmarkcpuswitchcontainer_2SwitchMuxCalculator" calculator: "SwitchMuxCalculator" input_stream: "C0LANDMARKS:facelandmarkcpuswitchcontainer_2c0facelandmarkcpulandmarks" input_stream: "C1LANDMARKS:facelandmarkcpuswitchcontainer_2c1facelandmarkcpulandmarks" output_stream: "LANDMARKS:facelandmarkcpu__landmarks" input_side_packet: "ENABLE:with_attention" options { [mediapipe.SwitchContainerOptions.ext] { } } } node { name: "facelandmarkcpuLandmarkProjectionCalculator" calculator: "LandmarkProjectionCalculator" input_stream: "NORM_LANDMARKS:facelandmarkcpulandmarks" input_stream: "NORM_RECT:face_rect" output_stream: "NORM_LANDMARKS:face_landmarks" } node { calculator: "EndLoopNormalizedLandmarkListVectorCalculator" input_stream: "ITEM:face_landmarks" input_stream: "BATCH_END:landmarks_loop_end_timestamp" output_stream: "ITERABLE:multi_face_landmarks" } node { name: "facelandmarklandmarkstoroiLandmarksToDetectionCalculator" calculator: "LandmarksToDetectionCalculator" input_stream: "NORM_LANDMARKS:face_landmarks" output_stream: "DETECTION:facelandmarklandmarkstoroiface_detection" } node { name: "facelandmarklandmarkstoroi__DetectionsToRectsCalculator" calculator: "DetectionsToRectsCalculator" input_stream: "DETECTION:facelandmarklandmarkstoroiface_detection" input_stream: "IMAGE_SIZE:landmarks_loop_image_size" output_stream: "NORM_RECT:facelandmarklandmarkstoroi__face_rect_from_landmarks" options { [mediapipe.DetectionsToRectsCalculatorOptions.ext] { rotation_vector_start_keypoint_index: 33 rotation_vector_end_keypoint_index: 263 rotation_vector_target_angle_degrees: 0 } } } node { name: "facelandmarklandmarkstoroiRectTransformationCalculator" calculator: "RectTransformationCalculator" input_stream: "NORM_RECT:facelandmarklandmarkstoroiface_rect_from_landmarks" input_stream: "IMAGE_SIZE:landmarks_loop_image_size" output_stream: "face_rect_from_landmarks" options { [mediapipe.RectTransformationCalculatorOptions.ext] { scale_x: 1.5 scale_y: 1.5 square_long: true } } } node { calculator: "EndLoopNormalizedRectCalculator" input_stream: "ITEM:face_rect_from_landmarks" input_stream: "BATCH_END:landmarks_loop_end_timestamp" output_stream: "ITERABLE:face_rects_from_landmarks" } input_stream: "IMAGE:image" output_stream: "LANDMARKS:multi_face_landmarks" output_stream: "DETECTIONS:face_detections" output_stream: "ROIS_FROM_LANDMARKS:face_rects_from_landmarks" output_stream: "ROIS_FROM_DETECTIONS:face_rects_from_detections" input_side_packet: "NUM_FACES:num_faces" input_side_packet: "USE_PREV_LANDMARKS:use_prev_landmarks" input_side_packet: "WITH_ATTENTION:with_attention" executor { } type: "FaceLandmarkFrontCpu"

File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_controlnet_aux\node_wrappers\mediapipe_face.py", line 30, in detect return (common_annotator_call(MediapipeFaceDetector(), image, max_faces=max_faces, min_confidence=min_confidence, resolution=resolution), ) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_controlnet_aux\utils.py", line 84, in common_annotator_call np_result = model(np_image, output_type="np", detect_resolution=detect_resolution, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_controlnet_aux\src\controlnet_aux\mediapipe_face__init.py", line 25, in call__ detected_map = generate_annotation(detected_map, max_faces, min_confidence) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_controlnet_aux\src\controlnet_aux\mediapipe_face\mediapipe_face_common.py", line 98, in generate_annotation with mp_face_mesh.FaceMesh( ^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\mediapipe\python\solutions\face_mesh.py", line 95, in init super().init( File "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\mediapipe\python\solution_base.py", line 285, in init self._graph = calculator_graph.CalculatorGraph(

Fannovel16 / comfyui_controlnet_aux

Error occurred when executing MediaPipe-FaceMeshPreprocessor: #349