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22d91a73c6
* init simple serving * simple serving is working * ppyoloe demo * Update README_CN.md * update readme * complete vision result to json
257 lines
7.3 KiB
Python
257 lines
7.3 KiB
Python
# Copyright (c) 2022 PaddlePaddle 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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from __future__ import absolute_import
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import json
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from .. import c_lib_wrap as C
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def mask_to_json(result):
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r_json = {
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"data": result.data,
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"shape": result.shape,
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}
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return json.dumps(r_json)
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def detection_to_json(result):
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masks = []
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for mask in result.masks:
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masks.append(mask_to_json(mask))
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r_json = {
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"boxes": result.boxes,
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"scores": result.scores,
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"label_ids": result.label_ids,
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"masks": masks,
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"contain_masks": result.contain_masks
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}
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return json.dumps(r_json)
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def classify_to_json(result):
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r_json = {
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"label_ids": result.label_ids,
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"scores": result.scores,
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}
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return json.dumps(r_json)
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def keypoint_to_json(result):
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r_json = {
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"keypoints": result.keypoints,
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"scores": result.scores,
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"num_joints": result.num_joints,
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}
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return json.dumps(r_json)
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def ocr_to_json(result):
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r_json = {
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"boxes": result.boxes,
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"text": result.text,
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"rec_scores": result.rec_scores,
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"cls_scores": result.cls_scores,
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"cls_labels": result.cls_labels,
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}
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return json.dumps(r_json)
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def mot_to_json(result):
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r_json = {
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"boxes": result.boxes,
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"ids": result.ids,
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"scores": result.scores,
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"class_ids": result.class_ids,
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}
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return json.dumps(r_json)
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def face_detection_to_json(result):
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r_json = {
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"boxes": result.boxes,
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"landmarks": result.landmarks,
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"scores": result.scores,
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"landmarks_per_face": result.landmarks_per_face,
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}
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return json.dumps(r_json)
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def face_alignment_to_json(result):
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r_json = {"landmarks": result.landmarks, }
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return json.dumps(r_json)
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def face_recognition_to_json(result):
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r_json = {"embedding": result.embedding, }
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return json.dumps(r_json)
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def segmentation_to_json(result):
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r_json = {
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"label_map": result.label_map,
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"score_map": result.score_map,
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"shape": result.shape,
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"contain_score_map": result.contain_score_map,
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}
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return json.dumps(r_json)
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def matting_to_json(result):
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r_json = {
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"alpha": result.alpha,
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"foreground": result.foreground,
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"shape": result.shape,
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"contain_foreground": result.contain_foreground,
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}
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return json.dumps(r_json)
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def head_pose_to_json(result):
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r_json = {"euler_angles": result.euler_angles, }
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return json.dumps(r_json)
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def fd_result_to_json(result):
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if isinstance(result, list):
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r_list = []
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for r in result:
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r_list.append(fd_result_to_json(r))
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return r_list
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elif isinstance(result, C.vision.DetectionResult):
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return detection_to_json(result)
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elif isinstance(result, C.vision.Mask):
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return mask_to_json(result)
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elif isinstance(result, C.vision.ClassifyResult):
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return classify_to_json(result)
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elif isinstance(result, C.vision.KeyPointDetectionResult):
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return keypoint_to_json(result)
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elif isinstance(result, C.vision.OCRResult):
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return ocr_to_json(result)
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elif isinstance(result, C.vision.MOTResult):
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return mot_to_json(result)
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elif isinstance(result, C.vision.FaceDetectionResult):
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return face_detection_to_json(result)
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elif isinstance(result, C.vision.FaceAlignmentResult):
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return face_alignment_to_json(result)
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elif isinstance(result, C.vision.FaceRecognitionResult):
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return face_recognition_to_json(result)
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elif isinstance(result, C.vision.SegmentationResult):
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return segmentation_to_json(result)
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elif isinstance(result, C.vision.MattingResult):
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return matting_to_json(result)
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elif isinstance(result, C.vision.HeadPoseResult):
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return head_pose_to_json(result)
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else:
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assert False, "{} Conversion to JSON format is not supported".format(
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type(result))
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return {}
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def json_to_mask(result):
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mask = C.vision.Mask()
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mask.data = result['data']
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mask.shape = result['shape']
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return mask
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def json_to_detection(result):
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masks = []
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for mask in result['masks']:
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masks.append(json_to_mask(json.loads(mask)))
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det_result = C.vision.DetectionResult()
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det_result.boxes = result['boxes']
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det_result.scores = result['scores']
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det_result.label_ids = result['label_ids']
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det_result.masks = masks
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det_result.contain_masks = result['contain_masks']
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return det_result
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def json_to_classify(result):
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cls_result = C.vision.ClassifyResult()
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cls_result.label_ids = result['label_ids']
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cls_result.scores = result['scores']
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return cls_result
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def json_to_keypoint(result):
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kp_result = C.vision.KeyPointDetectionResult()
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kp_result.keypoints = result['keypoints']
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kp_result.scores = result['scores']
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kp_result.num_joints = result['num_joints']
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return kp_result
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def json_to_ocr(result):
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ocr_result = C.vision.OCRResult()
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ocr_result.boxes = result['boxes']
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ocr_result.text = result['text']
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ocr_result.rec_scores = result['rec_scores']
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ocr_result.cls_scores = result['cls_scores']
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ocr_result.cls_labels = result['cls_labels']
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return ocr_result
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def json_to_mot(result):
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mot_result = C.vision.MOTResult()
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mot_result.boxes = result['boxes']
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mot_result.ids = result['ids']
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mot_result.scores = result['scores']
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mot_result.class_ids = result['class_ids']
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return mot_result
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def json_to_face_detection(result):
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face_result = C.vision.FaceDetectionResult()
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face_result.boxes = result['boxes']
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face_result.landmarks = result['landmarks']
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face_result.scores = result['scores']
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face_result.landmarks_per_face = result['landmarks_per_face']
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return face_result
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def json_to_face_alignment(result):
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face_result = C.vision.FaceAlignmentResult()
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face_result.landmarks = result['landmarks']
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return face_result
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def json_to_face_recognition(result):
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face_result = C.vision.FaceRecognitionResult()
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face_result.embedding = result['embedding']
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return face_result
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def json_to_segmentation(result):
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seg_result = C.vision.SegmentationResult()
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seg_result.label_map = result['label_map']
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seg_result.score_map = result['score_map']
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seg_result.shape = result['shape']
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seg_result.contain_score_map = result['contain_score_map']
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return seg_result
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def json_to_matting(result):
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matting_result = C.vision.MattingResult()
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matting_result.alpha = result['alpha']
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matting_result.foreground = result['foreground']
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matting_result.shape = result['shape']
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matting_result.contain_foreground = result['contain_foreground']
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return matting_result
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def json_to_head_pose(result):
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hp_result = C.vision.HeadPoseResult()
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hp_result.euler_angles = result['euler_angles']
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return hp_result
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