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* add override mark * delete some * recovery * recovery * add tracking * add tracking py_bind and example * add pptracking * add pptracking * iomanip head file * add opencv_video lib * add python libs package Signed-off-by: ChaoII <849453582@qq.com> * complete comments Signed-off-by: ChaoII <849453582@qq.com> * add jdeTracker_ member variable Signed-off-by: ChaoII <849453582@qq.com> * add 'FASTDEPLOY_DECL' macro Signed-off-by: ChaoII <849453582@qq.com> * remove kwargs params Signed-off-by: ChaoII <849453582@qq.com> * [Doc]update pptracking docs * delete 'ENABLE_PADDLE_FRONTEND' switch * add pptracking unit test * update pptracking unit test Signed-off-by: ChaoII <849453582@qq.com> * modify test video file path and remove trt test * update unit test model url * remove 'FASTDEPLOY_DECL' macro Signed-off-by: ChaoII <849453582@qq.com> * fix build python packages about pptracking on win32 Signed-off-by: ChaoII <849453582@qq.com> Signed-off-by: ChaoII <849453582@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
105 lines
4.0 KiB
Python
105 lines
4.0 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 logging
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from ... import c_lib_wrap as C
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def vis_detection(im_data,
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det_result,
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score_threshold=0.0,
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line_size=1,
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font_size=0.5):
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return C.vision.vis_detection(im_data, det_result, score_threshold,
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line_size, font_size)
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def vis_keypoint_detection(im_data, keypoint_det_result, conf_threshold=0.5):
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return C.vision.Visualize.vis_keypoint_detection(
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im_data, keypoint_det_result, conf_threshold)
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def vis_face_detection(im_data, face_det_result, line_size=1, font_size=0.5):
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return C.vision.vis_face_detection(im_data, face_det_result, line_size,
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font_size)
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def vis_segmentation(im_data, seg_result):
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return C.vision.vis_segmentation(im_data, seg_result)
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def vis_matting_alpha(im_data,
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matting_result,
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remove_small_connected_area=False):
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logging.warning(
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"DEPRECATED: fastdeploy.vision.vis_matting_alpha is deprecated, please use fastdeploy.vision.vis_matting function instead."
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)
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return C.vision.vis_matting(im_data, matting_result,
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remove_small_connected_area)
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def vis_matting(im_data, matting_result, remove_small_connected_area=False):
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return C.vision.vis_matting(im_data, matting_result,
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remove_small_connected_area)
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def swap_background_matting(im_data,
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background,
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result,
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remove_small_connected_area=False):
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logging.warning(
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"DEPRECATED: fastdeploy.vision.swap_background_matting is deprecated, please use fastdeploy.vision.swap_background function instead."
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)
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assert isinstance(
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result, C.vision.MattingResult), "The result must be MattingResult type"
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return C.vision.Visualize.swap_background_matting(
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im_data, background, result, remove_small_connected_area)
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def swap_background_segmentation(im_data, background, background_label, result):
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logging.warning(
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"DEPRECATED: fastdeploy.vision.swap_background_segmentation is deprecated, please use fastdeploy.vision.swap_background function instead."
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)
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assert isinstance(
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result, C.vision.
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SegmentationResult), "The result must be SegmentaitonResult type"
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return C.vision.Visualize.swap_background_segmentation(
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im_data, background, background_label, result)
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def swap_background(im_data,
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background,
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result,
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remove_small_connected_area=False,
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background_label=0):
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if isinstance(result, C.vision.MattingResult):
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return C.vision.swap_background(im_data, background, result,
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remove_small_connected_area)
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elif isinstance(result, C.vision.SegmentationResult):
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return C.vision.swap_background(im_data, background, result,
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background_label)
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else:
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raise Exception(
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"Only support result type of MattingResult or SegmentationResult, but now the data type is {}.".
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format(type(result)))
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def vis_ppocr(im_data, det_result):
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return C.vision.vis_ppocr(im_data, det_result)
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def vis_mot(im_data, mot_result, fps, frame_id):
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return C.vision.vis_mot(im_data, mot_result, fps, frame_id)
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