Skip to content

P
PaddleSeg

PaddlePaddle / PaddleSeg

通知 285
Star 8
Fork 1
P
PaddleSeg

前往新版Gitcode，体验更适合开发者的 AI 搜索 >>

提交 e2d01cea 编写于 作者: W wuzewu
浏览文件
操作

Update docs

上级 60960064
隐藏空白更改
内联 并排
Showing with 7 addition and 0 deletion
docs/model_zoo.md
浏览文件 @ e2d01cea
......@@ -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 |
......
pretrained_model/download_model.py
浏览文件 @ e2d01cea
......@@ -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":
......
tutorial/finetune_deeplabv3plus.md
浏览文件 @ e2d01cea
......@@ -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 <br> MODEL.DEEPLAB.BACKBONE: mobilenetv2 <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0 <br> MODEL.DEEPLAB.ENCODER_WITH_ASPP: False <br> MODEL.DEEPLAB.ENABLE_DECODER: False <br> MODEL.DEFAULT_NORM_TYPE: bn|
|**deeplabv3p_xception65_bn_coco**|Xception65|bn|COCO|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn |
|deeplabv3p_mobilenetv2-1-0_bn_cityscapes|MobileNetV2|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenetv2 <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0 <br> MODEL.DEEPLAB.ENCODER_WITH_ASPP: False <br> MODEL.DEEPLAB.ENABLE_DECODER: False <br> MODEL.DEFAULT_NORM_TYPE: bn|
|deeplabv3p_mobilenetv3_large_cityscapes|MobileNetV3|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenetv3_large <br> MODEL.DEFAULT_NORM_TYPE: bn|
|deeplabv3p_xception65_gn_cityscapes|Xception65|gn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: gn|
|deeplabv3p_xception65_bn_cityscapes|Xception65|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn|
|deeplabv3p_resnet50_vd_cityscapes|resnet50_vd|bn|Cityscapes|MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: resnet50_vd <br> MODEL.DEFAULT_NORM_TYPE: bn|
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或