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[Doc] Add comments for PPSeg && PPClas (#396)

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* Add comment for PPSeg && PPClas

* Update main_page.md
This commit is contained in:
huangjianhui
2022-10-19 16:54:39 +08:00
committed by GitHub
parent c8d6c8244e
commit 85e1c647f6
6 changed files with 111 additions and 2 deletions
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29
python/fastdeploy/vision/segmentation/ppseg/__init__.py
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@@ -25,6 +25,14 @@ class PaddleSegModel(FastDeployModel):
config_file,
runtime_option=None,
model_format=ModelFormat.PADDLE):
"""Load a image segmentation model exported by PaddleSeg.
:param model_file: (str)Path of model file, e.g unet/model.pdmodel
:param params_file: (str)Path of parameters file, e.g unet/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
:param config_file: (str) Path of configuration file for deploy, e.g unet/deploy.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(PaddleSegModel, self).__init__(runtime_option)
assert model_format == ModelFormat.PADDLE, "PaddleSeg only support model format of ModelFormat.Paddle now."
@@ -34,14 +42,27 @@ class PaddleSegModel(FastDeployModel):
assert self.initialized, "PaddleSeg model initialize failed."
def predict(self, input_image):
"""Predict the segmentation result for an input image
:param im: (numpy.ndarray)The input image data, 3-D array with layout HWC, BGR format
:return: SegmentationResult
"""
return self._model.predict(input_image)
@property
def apply_softmax(self):
"""Atrribute of PaddleSeg model. Stating Whether applying softmax operator in the postprocess, default value is False
:return: value of apply_softmax(bool)
"""
return self._model.apply_softmax
@apply_softmax.setter
def apply_softmax(self, value):
"""Set attribute apply_softmax of PaddleSeg model.
:param value: (bool)The value to set apply_softmax
"""
assert isinstance(
value,
bool), "The value to set `apply_softmax` must be type of bool."
@@ -49,10 +70,18 @@ class PaddleSegModel(FastDeployModel):
@property
def is_vertical_screen(self):
"""Atrribute of PP-HumanSeg model. Stating Whether the input image is vertical image(height > width), default value is False
:return: value of is_vertical_screen(bool)
"""
return self._model.is_vertical_screen
@is_vertical_screen.setter
def is_vertical_screen(self, value):
"""Set attribute is_vertical_screen of PP-HumanSeg model.
:param value: (bool)The value to set is_vertical_screen
"""
assert isinstance(
value,
bool), "The value to set `is_vertical_screen` must be type of bool."