From e2d01ceabe19fc6bce6ed4b338f6c6f705530c2c Mon Sep 17 00:00:00 2001 From: wuzewu Date: Thu, 23 Jul 2020 11:27:56 +0800 Subject: [PATCH] Update docs --- docs/model_zoo.md | 2 ++ pretrained_model/download_model.py | 4 ++++ tutorial/finetune_deeplabv3plus.md | 1 + 3 files changed, 7 insertions(+) diff --git a/docs/model_zoo.md b/docs/model_zoo.md index f6ccd859..2e990edb 100644 --- a/docs/model_zoo.md +++ b/docs/model_zoo.md @@ -14,6 +14,7 @@ PaddleSeg对所有内置的分割模型都提供了公开数据集下的预训 | MobileNetV2_0.5x | ImageNet | 0.5x | [MobileNetV2_0.5x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x0_5_pretrained.tar) | 65.03%/85.72% | | MobileNetV2_1.5x | ImageNet | 1.5x | [MobileNetV2_1.5x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x1_5_pretrained.tar) | 74.12%/91.67% | | MobileNetV2_2.0x | ImageNet | 2.0x | [MobileNetV2_2.0x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x2_0_pretrained.tar) | 75.23%/92.58% | +| MobileNetV3_Large_ssld_1.0x | ImageNet | 1.0x | [MobileNetV3_Large_ssld_1.0x](https://paddleseg.bj.bcebos.com/models/MobileNetV3_large_x1_0_ssld_pretrained.tar) | 79.00%/94.50% | 用户可以结合实际场景的精度和预测性能要求，选取不同`Depth multiplier`参数的MobileNet模型。 @@ -58,6 +59,7 @@ train数据集合为Cityscapes训练集合，测试为Cityscapes的验证集合 | 模型 | 数据集合 | 下载地址 |Output Stride| mutli-scale test| mIoU on val| |---|---|---|---|---|---| | DeepLabv3+/MobileNetv2/bn | Cityscapes |[mobilenet_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/mobilenet_cityscapes.tgz) |16|false| 0.698| +| DeepLabv3+/MobileNetv3_Large/bn | Cityscapes |[deeplabv3p_mobilenetv3_large_cityscapes.tar.gz](https://paddleseg.bj.bcebos.com/models/deeplabv3p_mobilenetv3_large_cityscapes.tar.gz) |32|false| 0.7328| | DeepLabv3+/Xception65/gn | Cityscapes |[deeplabv3p_xception65_gn_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/deeplabv3p_xception65_cityscapes.tgz) |16|false| 0.7824 | | DeepLabv3+/Xception65/bn | Cityscapes |[deeplabv3p_xception65_bn_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/xception65_bn_cityscapes.tgz) | 16 | false | 0.7930 | | DeepLabv3+/ResNet50_vd/bn | Cityscapes |[deeplabv3p_resnet50_vd_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/deeplabv3p_resnet50_vd_cityscapes.tgz) | 16 | false | 0.8006 | diff --git a/pretrained_model/download_model.py b/pretrained_model/download_model.py index 9ce8357a..bde2b886 100644 --- a/pretrained_model/download_model.py +++ b/pretrained_model/download_model.py @@ -24,6 +24,8 @@ from test_utils import download_file_and_uncompress model_urls = { # ImageNet Pretrained + "mobilenetv3_large_ssld_imagenet": + "https://paddleseg.bj.bcebos.com/models/MobileNetV3_large_x1_0_ssld_pretrained.tar", "mobilenetv2-2-0_bn_imagenet": "https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x2_0_pretrained.tar", "mobilenetv2-1-5_bn_imagenet": @@ -72,6 +74,8 @@ model_urls = { "https://paddleseg.bj.bcebos.com/models/pspnet101_coco.tgz", # Cityscapes pretrained + "deeplabv3p_mobilenetv3_large_cityscapes": + "https://paddleseg.bj.bcebos.com/models/deeplabv3p_mobilenetv3_large_cityscapes.tar.gz", "deeplabv3p_mobilenetv2-1-0_bn_cityscapes": "https://paddleseg.bj.bcebos.com/models/mobilenet_cityscapes.tgz", "deeplabv3p_xception65_gn_cityscapes": diff --git a/tutorial/finetune_deeplabv3plus.md b/tutorial/finetune_deeplabv3plus.md index fedd077c..7e11cb7c 100644 --- a/tutorial/finetune_deeplabv3plus.md +++ b/tutorial/finetune_deeplabv3plus.md @@ -149,6 +149,7 @@ PaddleSeg在AI Studio平台上提供了在线体验的DeepLabv3+图像分割教 |deeplabv3p_mobilenetv2-1-0_bn_coco|MobileNetV2|bn|COCO|MODEL.MODEL_NAME: deeplabv3p
MODEL.DEEPLAB.BACKBONE: mobilenetv2
MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0
MODEL.DEEPLAB.ENCODER_WITH_ASPP: False
MODEL.DEEPLAB.ENABLE_DECODER: False
MODEL.DEFAULT_NORM_TYPE: bn| |**deeplabv3p_xception65_bn_coco**|Xception65|bn|COCO|MODEL.MODEL_NAME: deeplabv3p
MODEL.DEEPLAB.BACKBONE: xception_65
MODEL.DEFAULT_NORM_TYPE: bn | |deeplabv3p_mobilenetv2-1-0_bn_cityscapes|MobileNetV2|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p
MODEL.DEEPLAB.BACKBONE: mobilenetv2
MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0
MODEL.DEEPLAB.ENCODER_WITH_ASPP: False
MODEL.DEEPLAB.ENABLE_DECODER: False
MODEL.DEFAULT_NORM_TYPE: bn| +|deeplabv3p_mobilenetv3_large_cityscapes|MobileNetV3|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p
MODEL.DEEPLAB.BACKBONE: mobilenetv3_large
MODEL.DEFAULT_NORM_TYPE: bn| |deeplabv3p_xception65_gn_cityscapes|Xception65|gn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p
MODEL.DEEPLAB.BACKBONE: xception_65
MODEL.DEFAULT_NORM_TYPE: gn| |deeplabv3p_xception65_bn_cityscapes|Xception65|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p
MODEL.DEEPLAB.BACKBONE: xception_65
MODEL.DEFAULT_NORM_TYPE: bn| |deeplabv3p_resnet50_vd_cityscapes|resnet50_vd|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p
MODEL.DEEPLAB.BACKBONE: resnet50_vd
MODEL.DEFAULT_NORM_TYPE: bn| -- GitLab