更换文档检测模型
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114
paddle_detection/deploy/pipeline/pphuman/action_utils.py
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114
paddle_detection/deploy/pipeline/pphuman/action_utils.py
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# 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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class KeyPointSequence(object):
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def __init__(self, max_size=100):
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self.frames = 0
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self.kpts = []
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self.bboxes = []
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self.max_size = max_size
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def save(self, kpt, bbox):
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self.kpts.append(kpt)
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self.bboxes.append(bbox)
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self.frames += 1
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if self.frames == self.max_size:
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return True
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return False
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class KeyPointBuff(object):
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def __init__(self, max_size=100):
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self.flag_track_interrupt = False
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self.keypoint_saver = dict()
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self.max_size = max_size
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self.id_to_pop = set()
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self.flag_to_pop = False
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def get_state(self):
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return self.flag_to_pop
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def update(self, kpt_res, mot_res):
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kpts = kpt_res.get('keypoint')[0]
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bboxes = kpt_res.get('bbox')
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mot_bboxes = mot_res.get('boxes')
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updated_id = set()
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for idx in range(len(kpts)):
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tracker_id = mot_bboxes[idx, 0]
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updated_id.add(tracker_id)
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kpt_seq = self.keypoint_saver.get(tracker_id,
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KeyPointSequence(self.max_size))
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is_full = kpt_seq.save(kpts[idx], bboxes[idx])
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self.keypoint_saver[tracker_id] = kpt_seq
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#Scene1: result should be popped when frames meet max size
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if is_full:
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self.id_to_pop.add(tracker_id)
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self.flag_to_pop = True
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#Scene2: result of a lost tracker should be popped
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interrupted_id = set(self.keypoint_saver.keys()) - updated_id
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if len(interrupted_id) > 0:
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self.flag_to_pop = True
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self.id_to_pop.update(interrupted_id)
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def get_collected_keypoint(self):
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"""
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Output (List): List of keypoint results for Skeletonbased Recognition task, where
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the format of each element is [tracker_id, KeyPointSequence of tracker_id]
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"""
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output = []
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for tracker_id in self.id_to_pop:
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output.append([tracker_id, self.keypoint_saver[tracker_id]])
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del (self.keypoint_saver[tracker_id])
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self.flag_to_pop = False
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self.id_to_pop.clear()
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return output
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class ActionVisualHelper(object):
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def __init__(self, frame_life=20):
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self.frame_life = frame_life
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self.action_history = {}
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def get_visualize_ids(self):
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id_detected = self.check_detected()
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return id_detected
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def check_detected(self):
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id_detected = set()
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deperate_id = []
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for mot_id in self.action_history:
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self.action_history[mot_id]["life_remain"] -= 1
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if int(self.action_history[mot_id]["class"]) == 0:
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id_detected.add(mot_id)
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if self.action_history[mot_id]["life_remain"] == 0:
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deperate_id.append(mot_id)
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for mot_id in deperate_id:
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del (self.action_history[mot_id])
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return id_detected
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def update(self, action_res_list):
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for mot_id, action_res in action_res_list:
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if mot_id in self.action_history:
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if int(action_res["class"]) != 0 and int(self.action_history[
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mot_id]["class"]) == 0:
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continue
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action_info = self.action_history.get(mot_id, {})
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action_info["class"] = action_res["class"]
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action_info["life_remain"] = self.frame_life
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self.action_history[mot_id] = action_info
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