faq.md

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FAQ

Q1: How to load the weight parameters of the pre-trained model locally？

• Answer:The recommended configuration parameters of the model are stored in the yaml file of each model folder under PaddleSeg/configs. For example, one of the configurations of ANN is given in /PaddleSeg/configs/ann/ann_resnet50_os8_cityscapes_1024x512_80k.yml. As shown below:

The red part in the figure is the storage location of the pre-training model parameter file of the backbone network. Note: Here, we will download the pre-training model parameters provided by us directly in the form of a https link. If you have the pre-trained model parameters of the backbone network locally, please replace the pretrained under backbone in the yaml file with the absolute path. Or, you should set the relative path for the storage location of the pre-training model parameters according to the directory where the train.py will be executed.

The green part in the figure is the storage location of the pre-training model parameter file of the segmentation network. If you have the pre-trained model parameters of the segmentation network locally, please replace the pretrained in the yaml file with the absolute path or relative path where it is stored.