fixed the bad links

pull/10141/head
caojiewen 4 years ago
parent 7697492fb2
commit 1df083b8d7

@ -1,6 +1,6 @@
![](https://www.mindspore.cn/static/img/logo.a3e472c9.png)
# ![MindSpore Logo](https://www.mindspore.cn/static/img/logo_black.6a5c850d.png)
# Welcome to the Model Zoo for MindSpore
## Welcome to the Model Zoo for MindSpore
In order to facilitate developers to enjoy the benefits of MindSpore framework, we will continue to add typical networks and some of the related pre-trained models. If you have needs for the model zoo, you can file an issue on [gitee](https://gitee.com/mindspore/mindspore/issues) or [MindSpore](https://bbs.huaweicloud.com/forum/forum-1076-1.html), We will consider it in time.
@ -10,23 +10,23 @@ In order to facilitate developers to enjoy the benefits of MindSpore framework,
- Officially maintained and supported
# Table of Contents
## Table of Contents
- [Official](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official)
- [Computer Vision](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv)
- [Image Classification](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv)
- [GoogleNet](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/googlenet/README.md)
- [ResNet50[benchmark]](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/resnet/README.md)
- [ResNet50_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/resnet/resnet_quant/README.md)
- [ResNet50_Quant](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/official/cv/resnet50_quant/README.md)
- [ResNet101](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/resnet/README.md)
- [ResNext50](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/resnext50/README.md)
- [VGG16](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/vgg16/README.md)
- [AlexNet](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/alexnet/README.md)
- [LeNet](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/lenet/README.md)
- [LeNet_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/lenet_quant/README.md)
- [LeNet_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/lenet_quant/Readme.md)
- [MobileNetV2](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/mobilenetv2/README.md)
- [MobileNetV2_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/mobilenetv2_quant/README.md)
- [MobileNetV3](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/mobilenetv3/README.md)
- [MobileNetV2_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/mobilenetv2_quant/Readme.md)
- [MobileNetV3](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/mobilenetv3/Readme.md)
- [InceptionV3](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/inceptionv3/README.md)
- [InceptionV4](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/inceptionv4/README.md)
- [Object Detection and Segmentation](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv)
@ -59,9 +59,9 @@ In order to facilitate developers to enjoy the benefits of MindSpore framework,
- [Research](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research)
- [Computer Vision](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv)
- [GhostNet](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ghostnet/README.md)
- [GhostNet_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ghostnet_quant/README.md)
- [ResNet50-0.65x](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/resnet50_adv_pruning/README.md)
- [GhostNet](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ghostnet/Readme.md)
- [GhostNet_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ghostnet_quant/Readme.md)
- [ResNet50-0.65x](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/resnet50_adv_pruning/Readme.md)
- [SSD_GhostNet](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ssd_ghostnet/README.md)
- [TinyNet](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/tinynet/README.md)
- [CycleGAN](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/cycle_gan/README.md)
@ -80,7 +80,7 @@ In order to facilitate developers to enjoy the benefits of MindSpore framework,
- [Community](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/community)
# Announcements
## Announcements
| Date | News |
| ------------ | ------------------------------------------------------------ |
@ -88,7 +88,7 @@ In order to facilitate developers to enjoy the benefits of MindSpore framework,
| September 01, 2020 | Support [MindSpore v0.7.0-beta](https://www.mindspore.cn/news/newschildren/en?id=246) |
| July 31, 2020 | Support [MindSpore v0.6.0-beta](https://www.mindspore.cn/news/newschildren/en?id=237) |
# Disclaimers
## Disclaimers
Mindspore only provides scripts that downloads and preprocesses public datasets. We do not own these datasets and are not responsible for their quality or maintenance. Please make sure you have permission to use the dataset under the datasets license. The models trained on these dataset are for non-commercial research and educational purpose only.
@ -96,6 +96,6 @@ To dataset owners: we will remove or update all public content upon request if y
MindSpore is Apache 2.0 licensed. Please see the LICENSE file.
# License
## License
[Apache License 2.0](https://gitee.com/mindspore/mindspore/blob/master/LICENSE)

@ -79,7 +79,7 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
- Framework
- [MindSpore](https://www.mindspore.cn/install/en)
- Download the VGG19 model of the MindSpore version:
- [vgg19-0-97_5004.ckpt](http://10.154.33.38:51203/tutorials/image_classification.html)
- vgg19-0-97_5004.ckpt
- For more information, please check the resources below
- [MindSpore Tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html)
- [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
@ -218,8 +218,3 @@ For more configuration details, please refer the script `config.py`.
| Speed | 1pcs: 35fps, 8pcs: 230fps
| Total time | 1pcs: 22.5h, 8pcs: 5.1h
| Checkpoint for Fine tuning | 602.33M (.ckpt file)

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@ -88,7 +88,7 @@ We use about 91K face images as training dataset and 11K as evaluating dataset i
- Hardware(Ascend)
- Prepare hardware environment with Ascend processor. If you want to try Ascend, please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources.
- Framework
- [MindSpore](http://10.90.67.50/mindspore/archive/20200506/OpenSource/me_vm_x86/)
- [MindSpore](https://www.mindspore.cn/install/en)
- For more information, please check the resources below:
- [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html)
- [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)

@ -63,7 +63,7 @@ We use about 13K images as training dataset and 3K as evaluating dataset in this
If your dataset is too big to convert at a time, you can add data to an existed mindrecord in turn:
```
```shell
python data_to_mindrecord_train_append.py
```
@ -72,7 +72,7 @@ We use about 13K images as training dataset and 3K as evaluating dataset in this
- HardwareAscend
- Prepare hardware environment with Ascend processor. If you want to try Ascend , please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources.
- Framework
- [MindSpore](http://10.90.67.50/mindspore/archive/20200506/OpenSource/me_vm_x86/)
- [MindSpore](https://www.mindspore.cn/install/en)
- For more information, please check the resources below
- [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html)
- [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)

@ -70,7 +70,7 @@ We use about 122K face images as training dataset and 2K as evaluating dataset i
- Hardware(Ascend)
- Prepare hardware environment with Ascend processor. If you want to try Ascend, please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources.
- Framework
- [MindSpore](http://10.90.67.50/mindspore/archive/20200506/OpenSource/me_vm_x86/)
- [MindSpore](https://www.mindspore.cn/install/en)
- For more information, please check the resources below:
- [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html)
- [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)

@ -58,7 +58,7 @@ The directory structure is as follows:
- Hardware(Ascend)
- Prepare hardware environment with Ascend processor. If you want to try Ascend, please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources.
- Framework
- [MindSpore](http://10.90.67.50/mindspore/archive/20200506/OpenSource/me_vm_x86/)
- [MindSpore](https://www.mindspore.cn/install/en)
- For more information, please check the resources below:
- [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html)
- [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)

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