Merge pull request #629 from MRXLT/0.3.0-bug-fix

0.3.0 bug fix

doc/ABTEST_IN_PADDLE_SERVING.md

@@ -21,7 +21,7 @@ The following Python code will process the data `test_data/part-0` and write to
 
 [//file]:#process.py
 ``` python
-from imdb_reader import IMDBDataset
+from paddle_serving_app.reader import IMDBDataset
 imdb_dataset = IMDBDataset()
 imdb_dataset.load_resource('imdb.vocab')
 
@@ -78,7 +78,7 @@ with open('processed.data') as f:
         feed = {"words": word_ids}
         fetch = ["acc", "cost", "prediction"]
         [fetch_map, tag] = client.predict(feed=feed, fetch=fetch, need_variant_tag=True)
-        if (float(fetch_map["prediction"][1]) - 0.5) * (float(label[0]) - 0.5) > 0:
+        if (float(fetch_map["prediction"][0][1]) - 0.5) * (float(label[0]) - 0.5) > 0:
             cnt[tag]['acc'] += 1
         cnt[tag]['total'] += 1
 

doc/ABTEST_IN_PADDLE_SERVING_CN.md

@@ -20,7 +20,7 @@ sh get_data.sh
 下面Python代码将处理`test_data/part-0`的数据，写入`processed.data`文件中。
 
 ```python
-from imdb_reader import IMDBDataset
+from paddle_serving_app.reader import IMDBDataset
 imdb_dataset = IMDBDataset()
 imdb_dataset.load_resource('imdb.vocab')
 
@@ -76,7 +76,7 @@ with open('processed.data') as f:
         feed = {"words": word_ids}
         fetch = ["acc", "cost", "prediction"]
         [fetch_map, tag] = client.predict(feed=feed, fetch=fetch, need_variant_tag=True)
-        if (float(fetch_map["prediction"][1]) - 0.5) * (float(label[0]) - 0.5) > 0:
+        if (float(fetch_map["prediction"][0][1]) - 0.5) * (float(label[0]) - 0.5) > 0:
             cnt[tag]['acc'] += 1
         cnt[tag]['total'] += 1
 

python/examples/lac/lac_web_service.py

@@ -19,7 +19,7 @@ from paddle_serving_app.reader import LACReader
 
 class LACService(WebService):
     def load_reader(self):
-        self.reader = LACReader("lac_dict")
+        self.reader = LACReader()
 
     def preprocess(self, feed={}, fetch=[]):
         feed_batch = []

python/examples/resnet_v2_50/resnet50_v2_tutorial.py

@@ -14,7 +14,7 @@
 
 from paddle_serving_client import Client
 from paddle_serving_app.reader import Sequential, File2Image, Resize, CenterCrop
-from apddle_serving_app.reader import RGB2BGR, Transpose, Div, Normalize
+from paddle_serving_app.reader import RGB2BGR, Transpose, Div, Normalize
 
 client = Client()
 client.load_client_config(
@@ -28,5 +28,5 @@ seq = Sequential([
 
 image_file = "daisy.jpg"
 img = seq(image_file)
-fetch_map = client.predict(feed={"image": img}, fetch=["feature_map"])
-print(fetch_map["feature_map"].reshape(-1))
+fetch_map = client.predict(feed={"image": img}, fetch=["score"])
+print(fetch_map["score"].reshape(-1))

python/examples/unet_for_image_seg/seg_client.py

@@ -27,7 +27,8 @@ preprocess = Sequential(
 
 postprocess = SegPostprocess(2)
 
-im = preprocess("N0060.jpg")
+filename = "N0060.jpg"
+im = preprocess(filename)
 fetch_map = client.predict(feed={"image": im}, fetch=["output"])
 fetch_map["filename"] = filename
 postprocess(fetch_map)

python/paddle_serving_app/README_CN.md

@@ -28,7 +28,7 @@ paddle_serving_app中内置了11种预训练模型，涵盖了6种预测任务
 | 语义理解     | 'ernie'                                          |
 | 中文分词     | 'lac'                                            |
 | 图像检测     | 'faster_rcnn'                                    |
-| 图像分割     | 'unet', 'deeplabv3'                              |
+| 图像分割     | 'unet', 'deeplabv3', 'deeplabv3+cityscapes'                              |
 | 图像分类     | 'resnet_v2_50_imagenet', 'mobilenet_v2_imagenet' |
 
 ## 数据预处理API

python/setup.py.server.in

@@ -38,12 +38,9 @@ max_version, mid_version, min_version = python_version()
 
 REQUIRED_PACKAGES = [
     'six >= 1.10.0', 'protobuf >= 3.1.0',
-    'paddle_serving_client', 'flask >= 1.1.1'
+    'paddle_serving_client', 'flask >= 1.1.1', 'paddle_serving_app'
 ]
 
-if not find_package("paddlepaddle") and not find_package("paddlepaddle-gpu"):
-    REQUIRED_PACKAGES.append("paddlepaddle")
-
 packages=['paddle_serving_server',
           'paddle_serving_server.proto']
 

python/setup.py.server_gpu.in

@@ -38,11 +38,9 @@ max_version, mid_version, min_version = python_version()
 
 REQUIRED_PACKAGES = [
     'six >= 1.10.0', 'protobuf >= 3.1.0',
-    'paddle_serving_client', 'flask >= 1.1.1'
+    'paddle_serving_client', 'flask >= 1.1.1', 'paddle_serving_app'
 ]
 
-if not find_package("paddlepaddle") and not find_package("paddlepaddle-gpu"):
-    REQUIRED_PACKAGES.append("paddlepaddle") 
 
 packages=['paddle_serving_server_gpu',
           'paddle_serving_server_gpu.proto']