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496 lines
28 KiB
496 lines
28 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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import os |
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import os.path as osp |
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import glob |
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import paddle |
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from . import logging |
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from .download import download_and_decompress |
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cls_pretrain_weights_dict = { |
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'ResNet50_vd': ['IMAGENET'], |
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'MobileNetV3_small_x1_0': ['IMAGENET'], |
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'HRNet_W18_C': ['IMAGENET'], |
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} |
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seg_pretrain_weights_dict = { |
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'UNet': ['CITYSCAPES'], |
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'DeepLabV3P': ['CITYSCAPES', 'PascalVOC', 'IMAGENET'], |
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'FastSCNN': ['CITYSCAPES'], |
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'HRNet': ['CITYSCAPES', 'PascalVOC'], |
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'BiSeNetV2': ['CITYSCAPES'] |
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} |
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det_pretrain_weights_dict = { |
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'PicoDet_ESNet_s': ['COCO', 'IMAGENET'], |
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'PicoDet_ESNet_m': ['COCO', 'IMAGENET'], |
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'PicoDet_ESNet_l': ['COCO', 'IMAGENET'], |
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'PicoDet_LCNet': ['COCO', 'IMAGENET'], |
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'PicoDet_MobileNetV3': ['COCO', 'IMAGENET'], |
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'PicoDet_ResNet18_vd': ['IMAGENET'], |
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'YOLOv3_MobileNetV1': ['COCO', 'PascalVOC', 'IMAGENET'], |
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'YOLOv3_MobileNetV1_ssld': ['COCO', 'PascalVOC', 'IMAGENET'], |
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'YOLOv3_DarkNet53': ['COCO', 'IMAGENET'], |
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'YOLOv3_ResNet50_vd_dcn': ['COCO', 'IMAGENET'], |
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'YOLOv3_ResNet34': ['COCO', 'IMAGENET'], |
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'YOLOv3_MobileNetV3': ['COCO', 'PascalVOC', 'IMAGENET'], |
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'YOLOv3_MobileNetV3_ssld': ['PascalVOC', 'IMAGENET'], |
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'FasterRCNN_ResNet50_vd': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet50_vd_fpn': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet50': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet50_fpn': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet34_fpn': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet34_vd_fpn': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet101_fpn': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet101_vd_fpn': ['COCO', 'IMAGENET'], |
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'FasterRCNN_ResNet50_vd_ssld_fpn': ['COCO', 'IMAGENET'], |
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'FasterRCNN_HRNet_W18_fpn': ['COCO', 'IMAGENET'], |
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'PPYOLO_ResNet50_vd_dcn': ['COCO', 'IMAGENET'], |
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'PPYOLO_ResNet18_vd': ['COCO', 'IMAGENET'], |
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'PPYOLO_MobileNetV3_large': ['COCO', 'IMAGENET'], |
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'PPYOLO_MobileNetV3_small': ['COCO', 'IMAGENET'], |
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'PPYOLOv2_ResNet50_vd_dcn': ['COCO', 'IMAGENET'], |
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'PPYOLOv2_ResNet101_vd_dcn': ['COCO', 'IMAGENET'], |
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'PPYOLOTiny_MobileNetV3': ['COCO', 'IMAGENET'], |
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'MaskRCNN_ResNet50': ['COCO', 'IMAGENET'], |
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'MaskRCNN_ResNet50_fpn': ['COCO', 'IMAGENET'], |
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'MaskRCNN_ResNet50_vd_fpn': ['COCO', 'IMAGENET'], |
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'MaskRCNN_ResNet50_vd_ssld_fpn': ['COCO', 'IMAGENET'], |
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'MaskRCNN_ResNet101_fpn': ['COCO', 'IMAGENET'], |
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'MaskRCNN_ResNet101_vd_fpn': ['COCO', 'IMAGENET'] |
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} |
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cityscapes_weights = { |
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'UNet_CITYSCAPES': |
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'https://bj.bcebos.com/paddleseg/dygraph/cityscapes/unet_cityscapes_1024x512_160k/model.pdparams', |
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'DeepLabV3P_ResNet50_vd_CITYSCAPES': |
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'https://bj.bcebos.com/paddleseg/dygraph/cityscapes/deeplabv3p_resnet50_os8_cityscapes_1024x512_80k/model.pdparams', |
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'DeepLabV3P_ResNet101_vd_CITYSCAPES': |
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'https://bj.bcebos.com/paddleseg/dygraph/cityscapes/deeplabv3p_resnet101_os8_cityscapes_769x769_80k/model.pdparams', |
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'HRNet_HRNet_W18_CITYSCAPES': |
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'https://bj.bcebos.com/paddleseg/dygraph/cityscapes/fcn_hrnetw18_cityscapes_1024x512_80k/model.pdparams', |
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'HRNet_HRNet_W48_CITYSCAPES': |
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'https://bj.bcebos.com/paddleseg/dygraph/cityscapes/fcn_hrnetw48_cityscapes_1024x512_80k/model.pdparams', |
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'BiSeNetV2_CITYSCAPES': |
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'https://bj.bcebos.com/paddleseg/dygraph/cityscapes/bisenet_cityscapes_1024x1024_160k/model.pdparams', |
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'FastSCNN_CITYSCAPES': |
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'https://bj.bcebos.com/paddleseg/dygraph/cityscapes/fastscnn_cityscapes_1024x1024_160k/model.pdparams' |
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} |
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imagenet_weights = { |
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'PPLCNet_x0_25_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x0_25_pretrained.pdparams', |
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'PPLCNet_x0_35_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x0_35_pretrained.pdparams', |
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'PPLCNet_x0_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x0_5_pretrained.pdparams', |
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'PPLCNet_x0_75_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x0_75_pretrained.pdparams', |
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'PPLCNet_x1_0_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x1_0_pretrained.pdparams', |
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'PPLCNet_x1_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x1_5_pretrained.pdparams', |
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'PPLCNet_x2_0_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x2_0_pretrained.pdparams', |
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'PPLCNet_x2_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x2_5_pretrained.pdparams', |
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'PPLCNet_x0_5_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x0_5_ssld_pretrained.pdparams', |
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'PPLCNet_x1_0_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x1_0_ssld_pretrained.pdparams', |
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'PPLCNet_x2_5_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPLCNet_x2_5_ssld_pretrained.pdparams', |
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'ResNet18_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet18_pretrained.pdparams', |
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'ResNet34_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet34_pretrained.pdparams', |
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'ResNet50_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet50_pretrained.pdparams', |
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'ResNet101_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet101_pretrained.pdparams', |
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'ResNet152_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet152_pretrained.pdparams', |
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'ResNet18_vd_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet18_vd_pretrained.pdparams', |
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'ResNet34_vd_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet34_vd_pretrained.pdparams', |
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'ResNet50_vd_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet50_vd_pretrained.pdparams', |
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'ResNet50_vd_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet50_vd_ssld_pretrained.pdparams', |
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'ResNet101_vd_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet101_vd_pretrained.pdparams', |
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'ResNet101_vd_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet101_vd_ssld_pretrained.pdparams', |
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'ResNet152_vd_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet152_vd_pretrained.pdparams', |
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'ResNet200_vd_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/ResNet200_vd_pretrained.pdparams', |
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'MobileNetV1_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV1_pretrained.pdparams', |
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'MobileNetV1_x0_25_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV1_x0_25_pretrained.pdparams', |
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'MobileNetV1_x0_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV1_x0_5_pretrained.pdparams', |
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'MobileNetV1_x0_75_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV1_x0_75_pretrained.pdparams', |
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'MobileNetV2_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV2_pretrained.pdparams', |
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'MobileNetV2_x0_25_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV2_x0_25_pretrained.pdparams', |
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'MobileNetV2_x0_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV2_x0_5_pretrained.pdparams', |
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'MobileNetV2_x0_75_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV2_x0_75_pretrained.pdparams', |
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'MobileNetV2_x1_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV2_x1_5_pretrained.pdparams', |
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'MobileNetV2_x2_0_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileNetV2_x2_0_pretrained.pdparams', |
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'MobileNetV3_small_x0_35_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x0_35_pretrained.pdparams', |
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'MobileNetV3_small_x0_35_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x0_35_ssld_pretrained.pdparams', |
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'MobileNetV3_small_x0_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x0_5_pretrained.pdparams', |
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'MobileNetV3_small_x0_75_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x0_75_pretrained.pdparams', |
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'MobileNetV3_small_x1_0_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x1_0_pretrained.pdparams', |
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'MobileNetV3_small_x1_0_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x1_0_ssld_pretrained.pdparams', |
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'MobileNetV3_small_x1_25_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_small_x1_25_pretrained.pdparams', |
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'MobileNetV3_large_x0_35_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_large_x0_35_pretrained.pdparams', |
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'MobileNetV3_large_x0_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_large_x0_5_pretrained.pdparams', |
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'MobileNetV3_large_x0_75_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_large_x0_75_pretrained.pdparams', |
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'MobileNetV3_large_x1_0_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_large_x1_0_pretrained.pdparams', |
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'MobileNetV3_large_x1_25_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_large_x1_25_pretrained.pdparams', |
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'MobileNetV3_large_x1_0_ssld_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/MobileNetV3_large_x1_0_ssld_pretrained.pdparams', |
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'AlexNet_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/AlexNet_pretrained.pdparams', |
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'DarkNet53_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DarkNet53_pretrained.pdparams', |
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'DenseNet121_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DenseNet121_pretrained.pdparams', |
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'DenseNet161_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DenseNet161_pretrained.pdparams', |
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'DenseNet169_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DenseNet169_pretrained.pdparams', |
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'DenseNet201_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DenseNet201_pretrained.pdparams', |
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'DenseNet264_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DenseNet264_pretrained.pdparams', |
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'HRNet_W18_C_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/HRNet_W18_C_pretrained.pdparams', |
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'HRNet_W30_C_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/HRNet_W30_C_pretrained.pdparams', |
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'HRNet_W32_C_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/HRNet_W32_C_pretrained.pdparams', |
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'HRNet_W40_C_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/HRNet_W40_C_pretrained.pdparams', |
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'HRNet_W44_C_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/HRNet_W44_C_pretrained.pdparams', |
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'HRNet_W48_C_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/HRNet_W48_C_pretrained.pdparams', |
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'HRNet_W64_C_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/HRNet_W64_C_pretrained.pdparams', |
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'Xception41_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/Xception41_pretrained.pdparams', |
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'Xception65_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/Xception65_pretrained.pdparams', |
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'Xception71_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/Xception71_pretrained.pdparams', |
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'ShuffleNetV2_x0_25_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ShuffleNetV2_x0_25_pretrained.pdparams', |
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'ShuffleNetV2_x0_33_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ShuffleNetV2_x0_33_pretrained.pdparams', |
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'ShuffleNetV2_x0_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ShuffleNetV2_x0_5_pretrained.pdparams', |
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'ShuffleNetV2_x1_0_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ShuffleNetV2_x1_0_pretrained.pdparams', |
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'ShuffleNetV2_x1_5_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ShuffleNetV2_x1_5_pretrained.pdparams', |
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'ShuffleNetV2_x2_0_IMAGENET': |
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'https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ShuffleNetV2_x2_0_pretrained.pdparams', |
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'PicoDet_ESNet_s_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ESNet_x0_75_pretrained.pdparams', |
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'PicoDet_ESNet_m_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ESNet_x1_0_pretrained.pdparams', |
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'PicoDet_ESNet_l_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ESNet_x1_25_pretrained.pdparams', |
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'PicoDet_LCNet_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/LCNet_x1_5_pretrained.pdparams', |
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'PicoDet_MobileNetV3_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams', |
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'PicoDet_ResNet18_vd_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet18_vd_pretrained.pdparams', |
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'FasterRCNN_ResNet50_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams', |
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'FasterRCNN_ResNet50_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams', |
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'FasterRCNN_ResNet50_vd_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams', |
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'FasterRCNN_ResNet50_vd_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams', |
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'FasterRCNN_ResNet50_vd_ssld_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams', |
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'FasterRCNN_ResNet34_vd_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet34_vd_pretrained.pdparams', |
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'FasterRCNN_ResNet34_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet34_pretrained.pdparams', |
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'FasterRCNN_ResNet101_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_pretrained.pdparams', |
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'FasterRCNN_ResNet101_vd_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams', |
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'FasterRCNN_HRNet_W18_fpn_IMAGENET': |
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'https://paddledet.bj.bcebos.com/models/pretrained/HRNet_W18_C_pretrained.pdparams', |
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'YOLOv3_ResNet50_vd_dcn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_pretrained.pdparams', |
|
'YOLOv3_ResNet34_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet34_pretrained.pdparams', |
|
'YOLOv3_MobileNetV1_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV1_pretrained.pdparams', |
|
'YOLOv3_MobileNetV1_ssld_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV1_ssld_pretrained.pdparams', |
|
'YOLOv3_MobileNetV3_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams', |
|
'YOLOv3_MobileNetV3_ssld_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams', |
|
'YOLOv3_DarkNet53_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/DarkNet53_pretrained.pdparams', |
|
'PPYOLO_ResNet50_vd_dcn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_pretrained.pdparams', |
|
'PPYOLO_ResNet18_vd_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet18_vd_pretrained.pdparams', |
|
'PPYOLO_MobileNetV3_large_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams', |
|
'PPYOLO_MobileNetV3_small_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_small_x1_0_ssld_pretrained.pdparams', |
|
'PPYOLOv2_ResNet50_vd_dcn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_pretrained.pdparams', |
|
'PPYOLOv2_ResNet101_vd_dcn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_ssld_pretrained.pdparams', |
|
'PPYOLOTiny_MobileNetV3_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x0_5_pretrained.pdparams', |
|
'MaskRCNN_ResNet50_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams', |
|
'MaskRCNN_ResNet50_fpn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams', |
|
'MaskRCNN_ResNet50_vd_fpn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams', |
|
'MaskRCNN_ResNet50_vd_ssld_fpn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams', |
|
'MaskRCNN_ResNet101_fpn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_pretrained.pdparams', |
|
'MaskRCNN_ResNet101_vd_fpn_IMAGENET': |
|
'https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_pretrained.pdparams', |
|
'DeepLabV3P_ResNet50_vd_IMAGENET': |
|
'https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz', |
|
'DeepLabV3P_ResNet101_vd_IMAGENET': |
|
'https://bj.bcebos.com/paddleseg/dygraph/resnet101_vd_ssld.tar.gz' |
|
} |
|
|
|
pascalvoc_weights = { |
|
'DeepLabV3P_ResNet50_vd_PascalVOC': |
|
'https://bj.bcebos.com/paddleseg/dygraph/pascal_voc12/deeplabv3p_resnet50_os8_voc12aug_512x512_40k/model.pdparams', |
|
'DeepLabV3P_ResNet101_vd_PascalVOC': |
|
'https://bj.bcebos.com/paddleseg/dygraph/pascal_voc12/deeplabv3p_resnet101_os8_voc12aug_512x512_40k/model.pdparams', |
|
'HRNet_HRNet_W18_PascalVOC': |
|
'https://bj.bcebos.com/paddleseg/dygraph/pascal_voc12/fcn_hrnetw18_voc12aug_512x512_40k/model.pdparams', |
|
'HRNet_HRNet_W48_PascalVOC': |
|
'https://bj.bcebos.com/paddleseg/dygraph/pascal_voc12/fcn_hrnetw48_voc12aug_512x512_40k/model.pdparams', |
|
'YOLOv3_MobileNetV1_PascalVOC': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_voc.pdparams', |
|
'YOLOv3_MobileNetV1_ssld_PascalVOC': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_voc.pdparams', |
|
'YOLOv3_MobileNetV3_PascalVOC': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_voc.pdparams', |
|
'YOLOv3_MobileNetV3_ssld_PascalVOC': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_ssld_270e_voc.pdparams' |
|
} |
|
|
|
coco_weights = { |
|
'PicoDet_ESNet_s_COCO': |
|
'https://paddledet.bj.bcebos.com/models/picodet_s_416_coco.pdparams', |
|
'PicoDet_ESNet_m_COCO': |
|
'https://paddledet.bj.bcebos.com/models/picodet_m_416_coco.pdparams', |
|
'PicoDet_ESNet_l_COCO': |
|
'https://paddledet.bj.bcebos.com/models/picodet_l_640_coco.pdparams', |
|
'PicoDet_LCNet_COCO': |
|
'https://paddledet.bj.bcebos.com/models/picodet_lcnet_1_5x_416_coco.pdparams', |
|
'PicoDet_MobileNetV3_COCO': |
|
'https://paddledet.bj.bcebos.com/models/picodet_mobilenetv3_large_1x_416_coco.pdparams', |
|
'YOLOv3_MobileNetV1_COCO': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_270e_coco.pdparams', |
|
'YOLOv3_MobileNetV1_ssld_COCO': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v1_ssld_270e_coco.pdparams', |
|
'YOLOv3_DarkNet53_COCO': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams', |
|
'YOLOv3_ResNet50_vd_dcn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_r50vd_dcn_270e_coco.pdparams', |
|
'YOLOv3_ResNet34_COCO': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_r34_270e_coco.pdparams', |
|
'YOLOv3_MobileNetV3_COCO': |
|
'https://paddledet.bj.bcebos.com/models/yolov3_mobilenet_v3_large_270e_coco.pdparams', |
|
'FasterRCNN_ResNet50_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_fpn_2x_coco.pdparams', |
|
'FasterRCNN_ResNet50_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_1x_coco.pdparams', |
|
'FasterRCNN_ResNet50_vd_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_1x_coco.pdparams', |
|
'FasterRCNN_ResNet50_vd_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_fpn_2x_coco.pdparams', |
|
'FasterRCNN_ResNet50_vd_ssld_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r50_vd_ssld_fpn_2x_coco.pdparams', |
|
'FasterRCNN_ResNet34_vd_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_vd_fpn_1x_coco.pdparams', |
|
'FasterRCNN_ResNet34_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_fpn_1x_coco.pdparams', |
|
'FasterRCNN_ResNet101_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_fpn_2x_coco.pdparams', |
|
'FasterRCNN_ResNet101_vd_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_r101_vd_fpn_1x_coco.pdparams', |
|
'FasterRCNN_HRNet_W18_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/faster_rcnn_hrnetv2p_w18_2x_coco.pdparams', |
|
'PPYOLO_ResNet50_vd_dcn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_2x_coco.pdparams', |
|
'PPYOLO_ResNet18_vd_COCO': |
|
'https://paddledet.bj.bcebos.com/models/ppyolo_r18vd_coco.pdparams', |
|
'PPYOLO_MobileNetV3_large_COCO': |
|
'https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_large_coco.pdparams', |
|
'PPYOLO_MobileNetV3_small_COCO': |
|
'https://paddledet.bj.bcebos.com/models/ppyolo_mbv3_small_coco.pdparams', |
|
'PPYOLOv2_ResNet50_vd_dcn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/ppyolov2_r50vd_dcn_365e_coco.pdparams', |
|
'PPYOLOv2_ResNet101_vd_dcn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/ppyolov2_r101vd_dcn_365e_coco.pdparams', |
|
'PPYOLOTiny_MobileNetV3_COCO': |
|
'https://paddledet.bj.bcebos.com/models/ppyolo_tiny_650e_coco.pdparams', |
|
'MaskRCNN_ResNet50_COCO': |
|
'https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_2x_coco.pdparams', |
|
'MaskRCNN_ResNet50_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_fpn_2x_coco.pdparams', |
|
'MaskRCNN_ResNet50_vd_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_2x_coco.pdparams', |
|
'MaskRCNN_ResNet50_vd_ssld_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/mask_rcnn_r50_vd_fpn_ssld_2x_coco.pdparams', |
|
'MaskRCNN_ResNet101_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_fpn_1x_coco.pdparams', |
|
'MaskRCNN_ResNet101_vd_fpn_COCO': |
|
'https://paddledet.bj.bcebos.com/models/mask_rcnn_r101_vd_fpn_1x_coco.pdparams' |
|
} |
|
|
|
|
|
def get_pretrain_weights(flag, class_name, save_dir, backbone_name=None): |
|
if flag is None: |
|
return None |
|
elif osp.isdir(flag): |
|
return flag |
|
elif osp.isfile(flag): |
|
return flag |
|
|
|
# TODO: check flag |
|
new_save_dir = save_dir |
|
if backbone_name is not None: |
|
weights_key = "{}_{}_{}".format(class_name, backbone_name, flag) |
|
else: |
|
weights_key = "{}_{}".format(class_name, flag) |
|
if flag == 'CITYSCAPES': |
|
url = cityscapes_weights[weights_key] |
|
elif flag == 'IMAGENET': |
|
url = imagenet_weights[weights_key] |
|
elif flag == 'PascalVOC': |
|
url = pascalvoc_weights[weights_key] |
|
elif flag == 'COCO': |
|
url = coco_weights[weights_key] |
|
else: |
|
raise ValueError('Given pretrained weights {} is undefined.'.format( |
|
flag)) |
|
fname = download_and_decompress(url, path=new_save_dir) |
|
if osp.isdir(fname): |
|
fname = glob.glob(osp.join(fname, '*.pdparams'))[0] |
|
return fname |
|
|
|
|
|
def load_pretrain_weights(model, pretrain_weights=None, model_name=None): |
|
if pretrain_weights is not None: |
|
logging.info( |
|
'Loading pretrained model from {}'.format(pretrain_weights), |
|
use_color=True) |
|
|
|
if os.path.exists(pretrain_weights): |
|
param_state_dict = paddle.load(pretrain_weights) |
|
model_state_dict = model.state_dict() |
|
# HACK: Fit for faster rcnn. Pretrain weights contain prefix of 'backbone' |
|
# while res5 module is located in bbox_head.head. Replace the prefix of |
|
# res5 with 'bbox_head.head' to load pretrain weights correctly. |
|
for k in param_state_dict.keys(): |
|
if 'backbone.res5' in k: |
|
new_k = k.replace('backbone', 'bbox_head.head') |
|
if new_k in model_state_dict: |
|
value = param_state_dict.pop(k) |
|
param_state_dict[new_k] = value |
|
num_params_loaded = 0 |
|
for k in model_state_dict: |
|
if k not in param_state_dict: |
|
logging.warning("{} is not in pretrained model".format(k)) |
|
elif list(param_state_dict[k].shape) != list(model_state_dict[k] |
|
.shape): |
|
logging.warning( |
|
"[SKIP] Shape of pretrained params {} doesn't match.(Pretrained: {}, Actual: {})" |
|
.format(k, param_state_dict[k].shape, model_state_dict[ |
|
k].shape)) |
|
else: |
|
model_state_dict[k] = param_state_dict[k] |
|
num_params_loaded += 1 |
|
model.set_state_dict(model_state_dict) |
|
logging.info("There are {}/{} variables loaded into {}.".format( |
|
num_params_loaded, len(model_state_dict), model_name)) |
|
else: |
|
raise ValueError('The pretrained model directory is not Found: {}'. |
|
format(pretrain_weights)) |
|
else: |
|
logging.info( |
|
'No pretrained model to load, {} will be trained from scratch.'. |
|
format(model_name)) |
|
|
|
|
|
def load_optimizer(optimizer, state_dict_path): |
|
logging.info("Loading optimizer from {}".format(state_dict_path)) |
|
optim_state_dict = paddle.load(state_dict_path) |
|
for key in optimizer.state_dict().keys(): |
|
if key not in optim_state_dict.keys(): |
|
optim_state_dict[key] = optimizer.state_dict()[key] |
|
if 'last_epoch' in optim_state_dict: |
|
optim_state_dict.pop('last_epoch') |
|
optimizer.set_state_dict(optim_state_dict) |
|
|
|
|
|
def load_checkpoint(model, optimizer, model_name, checkpoint): |
|
logging.info("Loading checkpoint from {}".format(checkpoint)) |
|
load_pretrain_weights( |
|
model, |
|
pretrain_weights=osp.join(checkpoint, 'model.pdparams'), |
|
model_name=model_name) |
|
load_optimizer( |
|
optimizer, state_dict_path=osp.join(checkpoint, "model.pdopt"))
|
|
|