186 lines
6.3 KiB
Python
186 lines
6.3 KiB
Python
# Copyright 2022 The MediaPipe Authors.
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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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load(
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"//mediapipe/framework/tool:mediapipe_files.bzl",
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"mediapipe_files",
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)
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package(
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default_visibility = ["//mediapipe/tasks:internal"],
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licenses = ["notice"], # Apache 2.0
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)
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mediapipe_files(srcs = [
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"burger.jpg",
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"burger_crop.jpg",
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"burger_rotated.jpg",
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"cat.jpg",
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"cat_mask.jpg",
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"cat_rotated.jpg",
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"cat_rotated_mask.jpg",
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"cats_and_dogs.jpg",
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"cats_and_dogs_no_resizing.jpg",
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"cats_and_dogs_rotated.jpg",
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"coco_efficientdet_lite0_v1_1.0_quant_2021_09_06.tflite",
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"coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.tflite",
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"coco_ssd_mobilenet_v1_1.0_quant_2018_06_29_with_dummy_score_calibration.tflite",
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"deeplabv3.tflite",
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"face_detection_full_range.tflite",
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"face_detection_full_range_sparse.tflite",
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"face_detection_short_range.tflite",
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"face_landmark.tflite",
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"face_landmark_with_attention.tflite",
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"fist.jpg",
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"fist.png",
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"hand_landmark_full.tflite",
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"hand_landmark_lite.tflite",
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"hand_landmarker.task",
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"left_hands.jpg",
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"left_hands_rotated.jpg",
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"mobilenet_v1_0.25_192_quantized_1_default_1.tflite",
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"mobilenet_v1_0.25_224_1_default_1.tflite",
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"mobilenet_v1_0.25_224_1_metadata_1.tflite",
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"mobilenet_v1_0.25_224_quant.tflite",
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"mobilenet_v1_0.25_224_quant_with_dummy_score_calibration.tflite",
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"mobilenet_v1_0.25_224_quant_without_subgraph_metadata.tflite",
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"mobilenet_v2_1.0_224.tflite",
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"mobilenet_v3_small_100_224_embedder.tflite",
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"mozart_square.jpg",
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"multi_objects.jpg",
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"multi_objects_rotated.jpg",
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"palm_detection_full.tflite",
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"pointing_up.jpg",
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"pointing_up_rotated.jpg",
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"portrait.jpg",
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"right_hands.jpg",
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"right_hands_rotated.jpg",
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"segmentation_golden_rotation0.png",
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"segmentation_input_rotation0.jpg",
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"selfie_segm_128_128_3.tflite",
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"selfie_segm_128_128_3_expected_mask.jpg",
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"selfie_segm_144_256_3.tflite",
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"selfie_segm_144_256_3_expected_mask.jpg",
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"thumb_up.jpg",
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"victory.jpg",
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])
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exports_files(
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srcs = [
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"expected_left_down_hand_landmarks.prototxt",
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"expected_left_down_hand_rotated_landmarks.prototxt",
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"expected_left_up_hand_landmarks.prototxt",
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"expected_left_up_hand_rotated_landmarks.prototxt",
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"expected_right_down_hand_landmarks.prototxt",
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"expected_right_up_hand_landmarks.prototxt",
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"gesture_recognizer.task",
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"portrait_expected_detection.pbtxt",
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],
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)
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filegroup(
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name = "test_images",
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srcs = [
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"burger.jpg",
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"burger_crop.jpg",
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"burger_rotated.jpg",
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"cat.jpg",
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"cat_mask.jpg",
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"cat_rotated.jpg",
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"cat_rotated_mask.jpg",
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"cats_and_dogs.jpg",
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"cats_and_dogs_no_resizing.jpg",
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"cats_and_dogs_rotated.jpg",
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"fist.jpg",
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"fist.png",
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"hand_landmark_full.tflite",
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"hand_landmark_lite.tflite",
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"left_hands.jpg",
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"left_hands_rotated.jpg",
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"mozart_square.jpg",
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"multi_objects.jpg",
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"multi_objects_rotated.jpg",
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"pointing_up.jpg",
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"pointing_up_rotated.jpg",
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"portrait.jpg",
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"right_hands.jpg",
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"right_hands_rotated.jpg",
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"segmentation_golden_rotation0.png",
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"segmentation_input_rotation0.jpg",
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"selfie_segm_128_128_3_expected_mask.jpg",
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"selfie_segm_144_256_3_expected_mask.jpg",
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"thumb_up.jpg",
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"victory.jpg",
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],
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visibility = [
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"//mediapipe/python:__subpackages__",
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"//mediapipe/tasks:internal",
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],
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)
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# TODO Create individual filegroup for models required for each Tasks.
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filegroup(
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name = "test_models",
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srcs = [
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"coco_efficientdet_lite0_v1_1.0_quant_2021_09_06.tflite",
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"coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.tflite",
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"coco_ssd_mobilenet_v1_1.0_quant_2018_06_29_with_dummy_score_calibration.tflite",
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"deeplabv3.tflite",
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"face_detection_full_range.tflite",
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"face_detection_full_range_sparse.tflite",
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"face_detection_short_range.tflite",
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"face_landmark.tflite",
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"face_landmark_with_attention.tflite",
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"hand_landmark_full.tflite",
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"hand_landmark_lite.tflite",
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"hand_landmarker.task",
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"mobilenet_v1_0.25_192_quantized_1_default_1.tflite",
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"mobilenet_v1_0.25_224_1_default_1.tflite",
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"mobilenet_v1_0.25_224_1_metadata_1.tflite",
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"mobilenet_v1_0.25_224_quant.tflite",
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"mobilenet_v1_0.25_224_quant_with_dummy_score_calibration.tflite",
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"mobilenet_v1_0.25_224_quant_without_subgraph_metadata.tflite",
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"mobilenet_v2_1.0_224.tflite",
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"mobilenet_v3_small_100_224_embedder.tflite",
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"palm_detection_full.tflite",
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"portrait_expected_face_landmarks.pbtxt",
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"selfie_segm_128_128_3.tflite",
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"selfie_segm_144_256_3.tflite",
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],
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)
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filegroup(
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name = "test_protos",
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srcs = [
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"expected_left_down_hand_landmarks.prototxt",
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"expected_left_down_hand_rotated_landmarks.prototxt",
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"expected_left_up_hand_landmarks.prototxt",
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"expected_left_up_hand_rotated_landmarks.prototxt",
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"expected_right_down_hand_landmarks.prototxt",
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"expected_right_up_hand_landmarks.prototxt",
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"fist_landmarks.pbtxt",
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"hand_detector_result_one_hand.pbtxt",
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"hand_detector_result_one_hand_rotated.pbtxt",
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"hand_detector_result_two_hands.pbtxt",
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"pointing_up_landmarks.pbtxt",
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"pointing_up_rotated_landmarks.pbtxt",
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"portrait_expected_detection.pbtxt",
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"portrait_expected_face_landmarks.pbtxt",
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"portrait_expected_face_landmarks_with_attention.pbtxt",
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"thumb_up_landmarks.pbtxt",
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"thumb_up_rotated_landmarks.pbtxt",
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"victory_landmarks.pbtxt",
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],
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)
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