From b6b8cfe38bbee4bbc1acbbdb1fd0ab2c6a83e1cf Mon Sep 17 00:00:00 2001 From: caojiewen Date: Sun, 30 May 2021 22:47:02 +0800 Subject: [PATCH] fixed the invalid links --- model_zoo/README.md | 2 +- model_zoo/README_CN.md | 2 +- model_zoo/official/nlp/q8bert/README_CN.md | 2 +- model_zoo/research/cv/Glore_resnet200/README_CN.md | 2 +- model_zoo/research/cv/glore_res50/README.md | 2 +- model_zoo/research/cv/ntsnet/README.md | 2 +- model_zoo/research/cv/retinanet_resnet101/README_CN.md | 2 +- model_zoo/research/cv/retinanet_resnet152/README_CN.md | 2 +- model_zoo/research/cv/vgg19/README_CN.md | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/model_zoo/README.md b/model_zoo/README.md index 4229139731b..f71de094616 100644 --- a/model_zoo/README.md +++ b/model_zoo/README.md @@ -65,7 +65,7 @@ In order to facilitate developers to enjoy the benefits of MindSpore framework, - [GhostNet_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ghostnet_quant/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) + - [CycleGAN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/CycleGAN/README.md) - [FaceAttribute](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/FaceAttribute/README.md) - [FaceDetection](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/FaceDetection/README.md) - [FaceQualityAssessment](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/FaceQualityAssessment/README.md) diff --git a/model_zoo/README_CN.md b/model_zoo/README_CN.md index fd173a949f9..3c844ad0fa6 100644 --- a/model_zoo/README_CN.md +++ b/model_zoo/README_CN.md @@ -65,7 +65,7 @@ - [GhostNet_Quant](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ghostnet_quant/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) + - [CycleGAN](https://gitee.com/mindspore/mindspore/blob/master/model_zoo/research/cv/CycleGAN/README.md) - [人脸属性](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/FaceAttribute/README.md) - [人脸检测](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/FaceDetection/README.md) - [人脸图像质量评估](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/FaceQualityAssessment/README.md) diff --git a/model_zoo/official/nlp/q8bert/README_CN.md b/model_zoo/official/nlp/q8bert/README_CN.md index 9097a21784a..dfdade05ec2 100644 --- a/model_zoo/official/nlp/q8bert/README_CN.md +++ b/model_zoo/official/nlp/q8bert/README_CN.md @@ -55,7 +55,7 @@ Q8BERT模型的主干结构是transformer，一个转换器包含12个编码器 # 环境要求 - 硬件（Ascend或GPU） - - 使用Ascend或GPU处理器准备硬件环境。如需试用昇腾处理器，请发送[申请表](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)到ascend@huawei.com。申请通过后，即可获得资源。 + - 使用Ascend或GPU处理器准备硬件环境。 - 框架 - [MindSpore](https://gitee.com/mindspore/mindspore) - 更多关于Mindspore的信息，请查看以下资源： diff --git a/model_zoo/research/cv/Glore_resnet200/README_CN.md b/model_zoo/research/cv/Glore_resnet200/README_CN.md index 200ba7a29a5..a18877d5eee 100644 --- a/model_zoo/research/cv/Glore_resnet200/README_CN.md +++ b/model_zoo/research/cv/Glore_resnet200/README_CN.md @@ -226,7 +226,7 @@ result:{'top_1 acc':0.7974158653846154} | 总时长 | 33时45分钟 | | 参数(M) | 70.6 | | 微调检查点| 807.57M（.ckpt文件） | -| 脚本 | [链接](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/Glore_resnet200) | +| 脚本 | [链接](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/Glore_resnet200) | ### 推理性能 diff --git a/model_zoo/research/cv/glore_res50/README.md b/model_zoo/research/cv/glore_res50/README.md index cf938069008..98ff11e1aab 100644 --- a/model_zoo/research/cv/glore_res50/README.md +++ b/model_zoo/research/cv/glore_res50/README.md @@ -228,7 +228,7 @@ sh run_eval.sh ~/dataset/imagenet 0 ~/ckpt/glore_res50_120-1251.ckpt | 总时长 | 10.98小时 | | 参数(M) | 30.5 | | 微调检查点| 233.46M（.ckpt文件）| -| 脚本 | [链接](https://gitee.com/mindspore/mindspore/tree/glore_res50_r1.1/model_zoo/research/cv/glore_res50) | +| 脚本 | [链接](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/glore_res50) | # 随机情况说明 diff --git a/model_zoo/research/cv/ntsnet/README.md b/model_zoo/research/cv/ntsnet/README.md index 1f33e2f37dc..3c7465dbebb 100644 --- a/model_zoo/research/cv/ntsnet/README.md +++ b/model_zoo/research/cv/ntsnet/README.md @@ -213,7 +213,7 @@ python export.py --ckpt_file [CKPT_PATH] --device_target [DEVICE_TARGET] --file_ | Total time | 8pcs: 5.93 hours | | Parameters | 87.6 | | Checkpoint for Fine tuning | 333.07M(.ckpt file) | -| Scripts | [ntsnet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/ntsnet) | +| Scripts | [ntsnet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ntsnet) | # [Description of Random Situation](#contents) diff --git a/model_zoo/research/cv/retinanet_resnet101/README_CN.md b/model_zoo/research/cv/retinanet_resnet101/README_CN.md index a433ea2b43c..0852adee4fa 100644 --- a/model_zoo/research/cv/retinanet_resnet101/README_CN.md +++ b/model_zoo/research/cv/retinanet_resnet101/README_CN.md @@ -291,7 +291,7 @@ mAP: 0.3710347196613514 | 最终损失 | 0.43 | | 精确度 (8p) | mAP[0.3710] | | 训练总时间 (8p) | 34h50m20s | -| 脚本 | [Retianet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/Retinanet_resnet101) | +| 脚本 | [Retianet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/retinanet_resnet101) | #### 推理性能 diff --git a/model_zoo/research/cv/retinanet_resnet152/README_CN.md b/model_zoo/research/cv/retinanet_resnet152/README_CN.md index 38037d00035..7aadeba3cde 100644 --- a/model_zoo/research/cv/retinanet_resnet152/README_CN.md +++ b/model_zoo/research/cv/retinanet_resnet152/README_CN.md @@ -291,7 +291,7 @@ mAP: 0.3571988469737286 | 最终损失 | 0.69 | | 精确度 (8p) | mAP[0.3571] | | 训练总时间 (8p) | 41h32m20s | -| 脚本 | [Retianet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/Retinanet_resnet101) | +| 脚本 | [Retianet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/retinanet_resnet152) | #### 推理性能 diff --git a/model_zoo/research/cv/vgg19/README_CN.md b/model_zoo/research/cv/vgg19/README_CN.md index 8052761c3f9..12a31aec35a 100644 --- a/model_zoo/research/cv/vgg19/README_CN.md +++ b/model_zoo/research/cv/vgg19/README_CN.md @@ -75,7 +75,7 @@ VGG 19网络主要由几个基本模块（包括卷积层和池化层）和三 # 环境要求 - 硬件（Ascend或GPU） - - 准备Ascend或GPU处理器搭建硬件环境。如需试用昇腾处理器，请发送[申请表](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)至ascend@huawei.com，审核通过即可获得资源。 + - 准备Ascend或GPU处理器搭建硬件环境。 - 框架 - [MindSpore](https://www.mindspore.cn/install) - 如需查看详情，请参见如下资源：