178 lines
8.7 KiB
Python
178 lines
8.7 KiB
Python
# Copyright 2022 The MediaPipe Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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package(default_visibility = [
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"//mediapipe/tasks:internal",
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])
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licenses(["notice"])
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cc_library(
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name = "handedness_util",
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srcs = ["handedness_util.cc"],
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hdrs = ["handedness_util.h"],
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deps = [
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/port:ret_check",
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"@com_google_absl//absl/status:statusor",
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"@com_google_absl//absl/strings",
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],
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)
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cc_test(
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name = "handedness_util_test",
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srcs = ["handedness_util_test.cc"],
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deps = [
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":handedness_util",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/port:gtest_main",
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],
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)
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cc_library(
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name = "hand_gesture_recognizer_graph",
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srcs = ["hand_gesture_recognizer_graph.cc"],
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deps = [
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"//mediapipe/calculators/core:begin_loop_calculator",
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"//mediapipe/calculators/core:concatenate_vector_calculator",
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"//mediapipe/calculators/core:end_loop_calculator",
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"//mediapipe/calculators/core:get_vector_item_calculator",
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"//mediapipe/calculators/tensor:tensor_converter_calculator",
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"//mediapipe/calculators/tensor:tensors_to_classification_calculator",
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"//mediapipe/calculators/tensor:tensors_to_classification_calculator_cc_proto",
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"//mediapipe/framework/api2:builder",
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:matrix",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/framework/formats:tensor",
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"//mediapipe/tasks/cc:common",
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"//mediapipe/tasks/cc/components:image_preprocessing",
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"//mediapipe/tasks/cc/components/processors:classification_postprocessing_graph",
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"//mediapipe/tasks/cc/components/processors/proto:classification_postprocessing_graph_options_cc_proto",
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"//mediapipe/tasks/cc/components/processors/proto:classifier_options_cc_proto",
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"//mediapipe/tasks/cc/core:model_asset_bundle_resources",
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"//mediapipe/tasks/cc/core:model_resources",
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"//mediapipe/tasks/cc/core:model_resources_cache",
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"//mediapipe/tasks/cc/core:model_task_graph",
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"//mediapipe/tasks/cc/core:utils",
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"//mediapipe/tasks/cc/core/proto:base_options_cc_proto",
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"//mediapipe/tasks/cc/core/proto:external_file_cc_proto",
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"//mediapipe/tasks/cc/core/proto:inference_subgraph_cc_proto",
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"//mediapipe/tasks/cc/metadata/utils:zip_utils",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/calculators:combined_prediction_calculator",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/calculators:combined_prediction_calculator_cc_proto",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/calculators:handedness_to_matrix_calculator",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/calculators:landmarks_to_matrix_calculator",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/calculators:landmarks_to_matrix_calculator_cc_proto",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:gesture_classifier_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:gesture_embedder_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:hand_gesture_recognizer_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker:hand_landmarks_detector_graph",
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"//mediapipe/tasks/metadata:metadata_schema_cc",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/status:statusor",
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],
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alwayslink = 1,
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)
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cc_library(
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name = "gesture_recognizer_graph",
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srcs = ["gesture_recognizer_graph.cc"],
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deps = [
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":hand_gesture_recognizer_graph",
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"//mediapipe/calculators/core:vector_indices_calculator",
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"//mediapipe/calculators/image:image_properties_calculator",
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"//mediapipe/framework/api2:builder",
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:image",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/framework/port:status",
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"//mediapipe/tasks/cc:common",
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"//mediapipe/tasks/cc/components/processors/proto:classifier_options_cc_proto",
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"//mediapipe/tasks/cc/core:model_asset_bundle_resources",
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"//mediapipe/tasks/cc/core:model_resources_cache",
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"//mediapipe/tasks/cc/core:model_task_graph",
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"//mediapipe/tasks/cc/core:utils",
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"//mediapipe/tasks/cc/metadata/utils:zip_utils",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:gesture_recognizer_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:hand_gesture_recognizer_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_detector:hand_detector_graph",
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"//mediapipe/tasks/cc/vision/hand_detector/proto:hand_detector_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker:hand_landmarker_graph",
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"//mediapipe/tasks/cc/vision/hand_landmarker:hand_landmarks_detector_graph",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarker_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarks_detector_graph_options_cc_proto",
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"//mediapipe/tasks/metadata:metadata_schema_cc",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/status:statusor",
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],
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alwayslink = 1,
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)
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cc_library(
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name = "gesture_recognizer_result",
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hdrs = ["gesture_recognizer_result.h"],
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deps = [
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:landmark_cc_proto",
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],
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)
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cc_library(
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name = "gesture_recognizer",
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srcs = ["gesture_recognizer.cc"],
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hdrs = ["gesture_recognizer.h"],
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deps = [
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":gesture_recognizer_graph",
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":gesture_recognizer_result",
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":hand_gesture_recognizer_graph",
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"//mediapipe/framework:packet",
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"//mediapipe/framework/api2:builder",
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"//mediapipe/framework/api2:port",
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"//mediapipe/framework/formats:classification_cc_proto",
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"//mediapipe/framework/formats:image",
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"//mediapipe/framework/formats:landmark_cc_proto",
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"//mediapipe/framework/formats:rect_cc_proto",
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"//mediapipe/tasks/cc:common",
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"//mediapipe/tasks/cc/components:image_preprocessing",
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"//mediapipe/tasks/cc/components/processors:classifier_options",
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"//mediapipe/tasks/cc/components/processors/proto:classifier_options_cc_proto",
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"//mediapipe/tasks/cc/core:base_options",
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"//mediapipe/tasks/cc/core:base_task_api",
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"//mediapipe/tasks/cc/core:model_resources",
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"//mediapipe/tasks/cc/core:task_runner",
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"//mediapipe/tasks/cc/core:utils",
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"//mediapipe/tasks/cc/core/proto:inference_subgraph_cc_proto",
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"//mediapipe/tasks/cc/vision/core:base_vision_task_api",
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"//mediapipe/tasks/cc/vision/core:image_processing_options",
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"//mediapipe/tasks/cc/vision/core:running_mode",
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"//mediapipe/tasks/cc/vision/core:vision_task_api_factory",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:gesture_classifier_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:gesture_recognizer_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/gesture_recognizer/proto:hand_gesture_recognizer_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_detector/proto:hand_detector_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarker_graph_options_cc_proto",
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"//mediapipe/tasks/cc/vision/hand_landmarker/proto:hand_landmarks_detector_graph_options_cc_proto",
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"@com_google_absl//absl/memory",
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"@com_google_absl//absl/status",
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"@com_google_absl//absl/status:statusor",
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"@org_tensorflow//tensorflow/lite/core/api:op_resolver",
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"@org_tensorflow//tensorflow/lite/kernels:builtin_ops",
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],
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)
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