mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
d70b6c99df
* 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> * update comment Signed-off-by: ChaoII <849453582@qq.com> * add pptracking model explain Signed-off-by: ChaoII <849453582@qq.com> Signed-off-by: ChaoII <849453582@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
51 lines
2.2 KiB
Python
51 lines
2.2 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# 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.
|
|
|
|
from __future__ import absolute_import
|
|
from .... import FastDeployModel, ModelFormat
|
|
from .... import c_lib_wrap as C
|
|
|
|
|
|
class PPTracking(FastDeployModel):
|
|
def __init__(self,
|
|
model_file,
|
|
params_file,
|
|
config_file,
|
|
runtime_option=None,
|
|
model_format=ModelFormat.PADDLE):
|
|
"""Load a PPTracking model exported by PaddleDetection.
|
|
|
|
:param model_file: (str)Path of model file, e.g pptracking/model.pdmodel
|
|
:param params_file: (str)Path of parameters file, e.g ppyoloe/model.pdiparams
|
|
:param config_file: (str)Path of configuration file for deployment, e.g ppyoloe/infer_cfg.yml
|
|
:param runtime_option: (fastdeploy.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
|
|
:param model_format: (fastdeploy.ModelForamt)Model format of the loaded model
|
|
"""
|
|
super(PPTracking, self).__init__(runtime_option)
|
|
|
|
assert model_format == ModelFormat.PADDLE, "PPTracking model only support model format of ModelFormat.Paddle now."
|
|
self._model = C.vision.tracking.PPTracking(
|
|
model_file, params_file, config_file, self._runtime_option,
|
|
model_format)
|
|
assert self.initialized, "PPTracking model initialize failed."
|
|
|
|
def predict(self, input_image):
|
|
"""Predict the MOT result for an input image
|
|
|
|
:param input_image: (numpy.ndarray)The input image data, 3-D array with layout HWC, BGR format
|
|
:return: MOTResult
|
|
"""
|
|
assert input_image is not None, "The input image data is None."
|
|
return self._model.predict(input_image)
|