# Copyright 2019 The MediaPipe Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. load( "//mediapipe/framework/tool:mediapipe_graph.bzl", "mediapipe_simple_subgraph", ) licenses(["notice"]) package(default_visibility = ["//visibility:public"]) mediapipe_simple_subgraph( name = "face_landmark_cpu", graph = "face_landmark_cpu.pbtxt", register_as = "FaceLandmarkCpu", deps = [ ":face_landmarks_model_loader", ":tensors_to_face_landmarks", ":tensors_to_face_landmarks_with_attention", "//mediapipe/calculators/core:gate_calculator", "//mediapipe/calculators/core:split_vector_calculator", "//mediapipe/calculators/tensor:image_to_tensor_calculator", "//mediapipe/calculators/tensor:inference_calculator", "//mediapipe/calculators/tensor:tensors_to_floats_calculator", "//mediapipe/calculators/tensor:tensors_to_landmarks_calculator", "//mediapipe/calculators/tflite:tflite_custom_op_resolver_calculator", "//mediapipe/calculators/util:landmark_projection_calculator", "//mediapipe/calculators/util:thresholding_calculator", "//mediapipe/framework/tool:switch_container", ], ) mediapipe_simple_subgraph( name = "face_landmark_gpu", graph = "face_landmark_gpu.pbtxt", register_as = "FaceLandmarkGpu", deps = [ ":face_landmarks_model_loader", ":tensors_to_face_landmarks", ":tensors_to_face_landmarks_with_attention", "//mediapipe/calculators/core:gate_calculator", "//mediapipe/calculators/core:split_vector_calculator", "//mediapipe/calculators/tensor:image_to_tensor_calculator", "//mediapipe/calculators/tensor:inference_calculator", "//mediapipe/calculators/tensor:tensors_to_floats_calculator", "//mediapipe/calculators/tensor:tensors_to_landmarks_calculator", "//mediapipe/calculators/tflite:tflite_custom_op_resolver_calculator", "//mediapipe/calculators/util:landmark_projection_calculator", "//mediapipe/calculators/util:thresholding_calculator", "//mediapipe/framework/tool:switch_container", ], ) mediapipe_simple_subgraph( name = "face_landmark_front_cpu", graph = "face_landmark_front_cpu.pbtxt", register_as = "FaceLandmarkFrontCpu", deps = [ ":face_detection_front_detection_to_roi", ":face_landmark_cpu", ":face_landmark_landmarks_to_roi", "//mediapipe/calculators/core:begin_loop_calculator", "//mediapipe/calculators/core:clip_vector_size_calculator", "//mediapipe/calculators/core:constant_side_packet_calculator", "//mediapipe/calculators/core:end_loop_calculator", "//mediapipe/calculators/core:gate_calculator", "//mediapipe/calculators/core:previous_loopback_calculator", "//mediapipe/calculators/image:image_properties_calculator", "//mediapipe/calculators/util:association_norm_rect_calculator", "//mediapipe/calculators/util:collection_has_min_size_calculator", "//mediapipe/modules/face_detection:face_detection_short_range_cpu", ], ) mediapipe_simple_subgraph( name = "face_landmark_front_gpu", graph = "face_landmark_front_gpu.pbtxt", register_as = "FaceLandmarkFrontGpu", deps = [ ":face_detection_front_detection_to_roi", ":face_landmark_gpu", ":face_landmark_landmarks_to_roi", "//mediapipe/calculators/core:begin_loop_calculator", "//mediapipe/calculators/core:clip_vector_size_calculator", "//mediapipe/calculators/core:constant_side_packet_calculator", "//mediapipe/calculators/core:end_loop_calculator", "//mediapipe/calculators/core:gate_calculator", "//mediapipe/calculators/core:previous_loopback_calculator", "//mediapipe/calculators/image:image_properties_calculator", "//mediapipe/calculators/util:association_norm_rect_calculator", "//mediapipe/calculators/util:collection_has_min_size_calculator", "//mediapipe/modules/face_detection:face_detection_short_range_gpu", ], ) mediapipe_simple_subgraph( name = "face_landmark_front_cpu_image", graph = "face_landmark_front_cpu_image.pbtxt", register_as = "FaceLandmarkFrontCpuImage", deps = [ ":face_landmark_front_cpu", "//mediapipe/calculators/core:flow_limiter_calculator", "//mediapipe/calculators/image:image_transformation_calculator", "//mediapipe/calculators/util:from_image_calculator", ], ) mediapipe_simple_subgraph( name = "face_landmark_front_gpu_image", graph = "face_landmark_front_gpu_image.pbtxt", register_as = "FaceLandmarkFrontGpuImage", deps = [ ":face_landmark_front_gpu", "//mediapipe/calculators/core:flow_limiter_calculator", "//mediapipe/calculators/image:image_transformation_calculator", "//mediapipe/calculators/util:from_image_calculator", ], ) exports_files( srcs = [ "face_landmark.tflite", "face_landmark_with_attention.tflite", ], ) mediapipe_simple_subgraph( name = "face_detection_front_detection_to_roi", graph = "face_detection_front_detection_to_roi.pbtxt", register_as = "FaceDetectionFrontDetectionToRoi", deps = [ "//mediapipe/calculators/util:detections_to_rects_calculator", "//mediapipe/calculators/util:rect_transformation_calculator", ], ) mediapipe_simple_subgraph( name = "face_landmark_landmarks_to_roi", graph = "face_landmark_landmarks_to_roi.pbtxt", register_as = "FaceLandmarkLandmarksToRoi", deps = [ "//mediapipe/calculators/util:detections_to_rects_calculator", "//mediapipe/calculators/util:landmarks_to_detection_calculator", "//mediapipe/calculators/util:rect_transformation_calculator", ], ) mediapipe_simple_subgraph( name = "face_landmarks_model_loader", graph = "face_landmarks_model_loader.pbtxt", register_as = "FaceLandmarksModelLoader", deps = [ "//mediapipe/calculators/core:constant_side_packet_calculator", "//mediapipe/calculators/tflite:tflite_model_calculator", "//mediapipe/calculators/util:local_file_contents_calculator", "//mediapipe/framework/tool:switch_container", ], ) mediapipe_simple_subgraph( name = "tensors_to_face_landmarks", graph = "tensors_to_face_landmarks.pbtxt", register_as = "TensorsToFaceLandmarks", deps = [ "//mediapipe/calculators/tensor:tensors_to_landmarks_calculator", ], ) mediapipe_simple_subgraph( name = "tensors_to_face_landmarks_with_attention", graph = "tensors_to_face_landmarks_with_attention.pbtxt", register_as = "TensorsToFaceLandmarksWithAttention", deps = [ "//mediapipe/calculators/core:split_vector_calculator", "//mediapipe/calculators/tensor:tensors_to_landmarks_calculator", "//mediapipe/calculators/util:landmarks_refinement_calculator", ], )