From 57c2eeb73fd4cf085045b05774223cc1d65c589c Mon Sep 17 00:00:00 2001 From: MRXLT Date: Fri, 29 May 2020 03:04:45 +0000 Subject: [PATCH] fix app --- python/paddle_serving_app/README.md | 8 ++++---- python/paddle_serving_app/README_CN.md | 8 ++++---- python/paddle_serving_app/models/model_list.py | 4 ++-- 3 files changed, 10 insertions(+), 10 deletions(-) diff --git a/python/paddle_serving_app/README.md b/python/paddle_serving_app/README.md index a0fd35b7..d45bf0c4 100644 --- a/python/paddle_serving_app/README.md +++ b/python/paddle_serving_app/README.md @@ -21,15 +21,15 @@ python -m paddle_serving_app.package --model_list python -m paddle_serving_app.package --get_model senta_bilstm ``` -11 pre-trained models are built into paddle_serving_app, covering 6 kinds of prediction tasks. +10 pre-trained models are built into paddle_serving_app, covering 6 kinds of prediction tasks. The model files can be directly used for deployment, and the `--tutorial` argument can be added to obtain the deployment method. | Prediction task | Model name | | ------------ | ------------------------------------------------ | | SentimentAnalysis | 'senta_bilstm', 'senta_bow', 'senta_cnn' | -| SemanticRepresentation | 'ernie_base' | +| SemanticRepresentation | 'ernie' | | ChineseWordSegmentation | 'lac' | -| ObjectDetection | 'faster_rcnn', 'yolov3' | +| ObjectDetection | 'faster_rcnn' | | ImageSegmentation | 'unet', 'deeplabv3' | | ImageClassification | 'resnet_v2_50_imagenet', 'mobilenet_v2_imagenet' | @@ -76,7 +76,7 @@ Preprocessing for Chinese word segmentation task. [example](../examples/senta/senta_web_service.py) -- The image preprocessing method is more flexible than the above method, and can be combined by the following multiple classes，[example](../examples/imagenet/image_rpc_client.py) +- The image preprocessing method is more flexible than the above method, and can be combined by the following multiple classes，[example](../examples/imagenet/resnet50_rpc_client.py) - class Sequentia diff --git a/python/paddle_serving_app/README_CN.md b/python/paddle_serving_app/README_CN.md index 2624c238..015d64a5 100644 --- a/python/paddle_serving_app/README_CN.md +++ b/python/paddle_serving_app/README_CN.md @@ -20,14 +20,14 @@ python -m paddle_serving_app.package --model_list python -m paddle_serving_app.package --get_model senta_bilstm ``` -paddle_serving_app中内置了11中预训练模型，涵盖了6种预测任务。获取到的模型文件可以直接用于部署，添加`--tutorial`参数可以获取对应的部署方式。 +paddle_serving_app中内置了10种预训练模型，涵盖了6种预测任务。获取到的模型文件可以直接用于部署，添加`--tutorial`参数可以获取对应的部署方式。 | 预测服务类型 | 模型名称 | | ------------ | ------------------------------------------------ | | 中文情感分析 | 'senta_bilstm', 'senta_bow', 'senta_cnn' | -| 语义理解 | 'ernie_base' | +| 语义理解 | 'ernie' | | 中文分词 | 'lac' | -| 图像检测 | 'faster_rcnn', 'yolov3' | +| 图像检测 | 'faster_rcnn' | | 图像分割 | 'unet', 'deeplabv3' | | 图像分类 | 'resnet_v2_50_imagenet', 'mobilenet_v2_imagenet' | @@ -71,7 +71,7 @@ paddle_serving_app针对CV和NLP领域的模型任务，提供了多种常见的 [参考示例](../examples/senta/senta_web_service.py) -- 图像的预处理方法相比于上述的方法更加灵活多变，可以通过以下的多个类进行组合，[参考示例](../examples/imagenet/image_rpc_client.py) +- 图像的预处理方法相比于上述的方法更加灵活多变，可以通过以下的多个类进行组合，[参考示例](../examples/imagenet/resnet50_rpc_client.py) - class Sequentia diff --git a/python/paddle_serving_app/models/model_list.py b/python/paddle_serving_app/models/model_list.py index 3d08f2fe..28c759b9 100644 --- a/python/paddle_serving_app/models/model_list.py +++ b/python/paddle_serving_app/models/model_list.py @@ -22,9 +22,9 @@ class ServingModels(object): self.model_dict = OrderedDict() self.model_dict[ "SentimentAnalysis"] = ["senta_bilstm", "senta_bow", "senta_cnn"] - self.model_dict["SemanticRepresentation"] = ["ernie_base"] + self.model_dict["SemanticRepresentation"] = ["ernie"] self.model_dict["ChineseWordSegmentation"] = ["lac"] - self.model_dict["ObjectDetection"] = ["faster_rcnn", "yolov3"] + self.model_dict["ObjectDetection"] = ["faster_rcnn"] self.model_dict["ImageSegmentation"] = [ "unet", "deeplabv3", "deeplabv3+cityscapes" ] -- GitLab