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Update docs
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@@ -49,7 +49,7 @@ struct SegmentationResult {
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```
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- **label_map**: 成员变量,表示单张图片每个像素点的分割类别,`label_map.size()`表示图片像素点的个数
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- **score_map**: 成员变量,与label_map一一对应的所预测的分割类别概率值(当导出模型时指定`--output_op argmax`)或者经过softmax归一化化后的概率值(当导出模型时指定`--output_op softmax`或者导出模型时指定`--output_op none`同时模型初始化的时候设置模型[类成员属性](../../../examples/vision/segmentation/paddleseg/cpp/)`apply_softmax=True`)
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- **score_map**: 成员变量,与label_map一一对应的所预测的分割类别概率值,只有导出PaddleSeg模型时指定`--output_op none`时,该成员变量才不为空,否则该成员变量为空
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- **shape**: 成员变量,表示输出图片的shape,为H\*W
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- **Clear()**: 成员函数,用于清除结构体中存储的结果
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- **Free()**: 成员函数,用于清除结构体中存储的结果并释放内存
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@@ -49,7 +49,7 @@ struct SegmentationResult {
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```
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- **label_map**: Member variable which indicates the segmentation category of each pixel in a single image. `label_map.size()` indicates the number of pixel points of a image.
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- **score_map**: Member variable which indicates the predicted segmentation category probability value (specified as `--output_op argmax` when export) corresponding to label_map, or the probability value normalized by softmax (specified as `--output_op softmax` when export, or as `--output_op when exporting the model). none` when export while setting the [class member attribute](../../../examples/vision/segmentation/paddleseg/cpp/) as `apply_softmax=True` during model initialization).
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- **score_map**: Member variable which indicates the predicted segmentation category probability value corresponding to the label_map one-to-one, the member variable is not empty only when `--output_op none` is specified when exporting the PaddleSeg model, otherwise the member variable is empty.
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- **shape**: Member variable which indicates the shape of the output image as H\*W.
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- **Clear()**: Member function used to clear the results stored in the structure.
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- **Str()**: Member function used to output the information in the structure as string (for Debug).
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