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[Model] update pptracking letterboxresize and add some comment (#438)
* 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>
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@@ -24,6 +24,14 @@ class PPTracking(FastDeployModel):
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config_file,
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runtime_option=None,
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model_format=ModelFormat.PADDLE):
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"""Load a PPTracking model exported by PaddleDetection.
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:param model_file: (str)Path of model file, e.g pptracking/model.pdmodel
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:param params_file: (str)Path of parameters file, e.g ppyoloe/model.pdiparams
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:param config_file: (str)Path of configuration file for deployment, e.g ppyoloe/infer_cfg.yml
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:param runtime_option: (fastdeploy.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
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:param model_format: (fastdeploy.ModelForamt)Model format of the loaded model
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"""
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super(PPTracking, self).__init__(runtime_option)
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assert model_format == ModelFormat.PADDLE, "PPTracking model only support model format of ModelFormat.Paddle now."
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@@ -33,5 +41,10 @@ class PPTracking(FastDeployModel):
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assert self.initialized, "PPTracking model initialize failed."
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def predict(self, input_image):
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"""Predict the MOT result for an input image
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:param input_image: (numpy.ndarray)The input image data, 3-D array with layout HWC, BGR format
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:return: MOTResult
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"""
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assert input_image is not None, "The input image data is None."
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return self._model.predict(input_image)
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