Skip to content

P
PaddleSeg

PaddlePaddle / PaddleSeg

通知 285
Star 8
Fork 1
P
PaddleSeg
未验证 提交 31bcce98 编写于 作者: W wuzewu 提交者： GitHub
浏览文件
操作

Update model_zoo.md

上级 1a40d677
隐藏空白更改
内联 并排
Showing with 23 addition and 23 deletion
docs/model_zoo.md
浏览文件 @ 31bcce98
......@@ -6,39 +6,39 @@ PaddleSeg对所有内置的分割模型都提供了公开数据集的下的预
所有Imagenet预训练模型来自于PaddlePaddle图像分类库，想获取更多细节请点击[这里](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification))
| 模型 | 数据集合 | Depth multiplier | 模型加载config设置 | 下载地址 | Accuray Top1/5 Error|
|---|---|---|---|---|---|
| MobieNetV2_1.0x | ImageNet | 1.0x | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenet <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0 <br> MODEL.DEFAULT_NORM_TYPE: bn| [MobileNetV2_1.0x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar) | 72.15%/90.65% |
| MobieNetV2_0.25x | ImageNet | 0.25x | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenet <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 0.25 <br> MODEL.DEFAULT_NORM_TYPE: bn |[MobileNetV2_0.25x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x0_25_pretrained.tar) | 53.21%/76.52% |
| MobieNetV2_0.5x | ImageNet | 0.5x | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenet <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 0.5 <br> MODEL.DEFAULT_NORM_TYPE: bn | [MobileNetV2_0.5x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x0_5_pretrained.tar) | 65.03%/85.72% |
| MobieNetV2_1.5x | ImageNet | 1.5x | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenet <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.5 <br> MODEL.DEFAULT_NORM_TYPE: bn| [MobileNetV2_1.5x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x1_5_pretrained.tar) | 74.12%/91.67% |
| MobieNetV2_2.0x | ImageNet | 2.0x | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenet <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 2.0 <br> MODEL.DEFAULT_NORM_TYPE: bn | [MobileNetV2_2.0x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x2_0_pretrained.tar) | 75.23%/92.58% |
| 模型 | 数据集合 | Depth multiplier | 下载地址 | Accuray Top1/5 Error|
|---|---|---|---|---|
| MobieNetV2_1.0x | ImageNet | 1.0x | [MobileNetV2_1.0x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_pretrained.tar) | 72.15%/90.65% |
| MobieNetV2_0.25x | ImageNet | 0.25x |[MobileNetV2_0.25x](https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV2_x0_25_pretrained.tar) | 53.21%/76.52% |
| MobieNetV2_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% |
| MobieNetV2_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% |
| MobieNetV2_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% |
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。
| 模型 | 数据集合 | 模型加载config设置 | 下载地址 | Accuray Top1/5 Error |
|---|---|---|---|---|
| Xception41 | ImageNet | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_41 <br> MODEL.DEFAULT_NORM_TYPE: bn| [Xception41_pretrained.tgz](https://paddleseg.bj.bcebos.com/models/Xception41_pretrained.tgz) | 79.5%/94.38% |
| Xception65 | ImageNet | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn| [Xception65_pretrained.tgz](https://paddleseg.bj.bcebos.com/models/Xception65_pretrained.tgz) | 80.32%/94.47% |
| Xception71 | ImageNet | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_71 <br> MODEL.DEFAULT_NORM_TYPE: bn| coming soon | -- |
| 模型 | 数据集合 | 下载地址 | Accuray Top1/5 Error |
|---|---|---|---|
| Xception41 | ImageNet | [Xception41_pretrained.tgz](https://paddleseg.bj.bcebos.com/models/Xception41_pretrained.tgz) | 79.5%/94.38% |
| Xception65 | ImageNet | [Xception65_pretrained.tgz](https://paddleseg.bj.bcebos.com/models/Xception65_pretrained.tgz) | 80.32%/94.47% |
| Xception71 | ImageNet | coming soon | -- |
## COCO预训练模型
train数据集为coco instance分割数据集合转换成的语义分割数据集合
| 模型 | 数据集合 | 模型加载config设置 | 下载地址 |Output Strid|multi-scale test| mIoU |
|---|---|---|---|---|---|---|
| DeepLabv3+/MobileNetv2/bn | COCO | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenet <br> MODEL.DEEPLAB.DEPTH_MULTIPLIER: 1.0 <br> MODEL.DEFAULT_NORM_TYPE: bn|[deeplabv3plus_coco_bn_init.tgz](https://bj.bcebos.com/v1/paddleseg/deeplabv3plus_coco_bn_init.tgz) | 16 | --| -- |
| DeeplabV3+/Xception65/bn | COCO | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn | [xception65_coco.tgz](https://paddleseg.bj.bcebos.com/models/xception65_coco.tgz)| 16 | -- | -- |
| UNet/bn | COCO | MODEL.MODEL_NEME: unet <br> MODEL.DEFAULT_NORM_TYPE: bn | [unet](https://paddleseg.bj.bcebos.com/models/unet_coco_v3.tgz) | 16 | -- | -- |
| 模型 | 数据集合 | 下载地址 |Output Strid|multi-scale test| mIoU |
|---|---|---|---|---|---|
| DeepLabv3+/MobileNetv2/bn | COCO |[deeplabv3plus_coco_bn_init.tgz](https://bj.bcebos.com/v1/paddleseg/deeplabv3plus_coco_bn_init.tgz) | 16 | --| -- |
| DeeplabV3+/Xception65/bn | COCO | [xception65_coco.tgz](https://paddleseg.bj.bcebos.com/models/xception65_coco.tgz)| 16 | -- | -- |
| UNet/bn | COCO | [unet](https://paddleseg.bj.bcebos.com/models/unet_coco_v3.tgz) | 16 | -- | -- |
## Cityscapes预训练模型
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 | 模型加载config设置 | 下载地址 |Output Stride| mutli-scale test| mIoU on val|
|---|---|---|---|---|---|---|
| DeepLabv3+/MobileNetv2/bn | Cityscapes |MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: mobilenet <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|[mobilenet_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/mobilenet_cityscapes.tgz) |16|false| 0.698|
| DeepLabv3+/Xception65/gn | Cityscapes |MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: gn | [deeplabv3p_xception65_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/deeplabv3p_xception65_cityscapes.tgz) |16|false| 0.7804 |
| DeepLabv3+/Xception65/bn | Cityscapes | MODEL.MODEL_NAME: deeplabv3p <br> MODEL.DEEPLAB.BACKBONE: xception_65 <br> MODEL.DEFAULT_NORM_TYPE: bn| [Xception65_deeplab_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/xception65_bn_cityscapes.tgz) | 16 | false | 0.7715 |
| ICNet/bn | Cityscapes | MODEL.MODEL_NAME: icnet <br> MODEL.DEFAULT_NORM_TYPE: bn | [icnet_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/icnet6831.tar.gz) |16|false| 0.6831 |
| 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+/Xception65/gn | Cityscapes |[deeplabv3p_xception65_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/deeplabv3p_xception65_cityscapes.tgz) |16|false| 0.7804 |
| DeepLabv3+/Xception65/bn | Cityscapes |[Xception65_deeplab_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/xception65_bn_cityscapes.tgz) | 16 | false | 0.7715 |
| ICNet/bn | Cityscapes |[icnet_cityscapes.tgz](https://paddleseg.bj.bcebos.com/models/icnet6831.tar.gz) |16|false| 0.6831 |
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