#安装paddlehub
!pip install paddlehub==1.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Requirement already satisfied: paddlehub==1.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (1.6.0)
Requirement already satisfied: pre-commit in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (1.21.0)
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Requirement already satisfied: requests in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (2.22.0)
Requirement already satisfied: colorlog in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (4.1.0)
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Requirement already satisfied: pandas; python_version >= "3" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (0.23.4)
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Requirement already satisfied: nodeenv>=0.11.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->paddlehub==1.6.0) (1.3.4)
Requirement already satisfied: importlib-metadata; python_version < "3.8" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->paddlehub==1.6.0) (0.23)
Requirement already satisfied: toml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->paddlehub==1.6.0) (0.10.0)
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Requirement already satisfied: cfgv>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->paddlehub==1.6.0) (2.0.1)
Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->paddlehub==1.6.0) (2.8)
Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->paddlehub==1.6.0) (2019.9.11)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->paddlehub==1.6.0) (1.25.6)
Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8->paddlehub==1.6.0) (0.6.1)
Requirement already satisfied: pycodestyle<2.6.0,>=2.5.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8->paddlehub==1.6.0) (2.5.0)
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Requirement already satisfied: absl-py>=0.4 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from tensorboard>=1.15->paddlehub==1.6.0) (0.8.1)
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Requirement already satisfied: werkzeug>=0.11.15 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from tensorboard>=1.15->paddlehub==1.6.0) (0.16.0)
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Requirement already satisfied: click>=5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.0->paddlehub==1.6.0) (7.0)
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Requirement already satisfied: moviepy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from tb-paddle->paddlehub==1.6.0) (1.0.1)
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Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Jinja2>=2.10.1->flask>=1.1.0->paddlehub==1.6.0) (1.1.1)
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Requirement already satisfied: imageio<3.0,>=2.5; python_version >= "3.4" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from moviepy->tb-paddle->paddlehub==1.6.0) (2.6.1)
Requirement already satisfied: tqdm<5.0,>=4.11.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from moviepy->tb-paddle->paddlehub==1.6.0) (4.36.1)
Requirement already satisfied: proglog<=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from moviepy->tb-paddle->paddlehub==1.6.0) (0.1.9)
Requirement already satisfied: decorator<5.0,>=4.0.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from moviepy->tb-paddle->paddlehub==1.6.0) (4.4.0)
Requirement already satisfied: more-itertools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from zipp>=0.5->importlib-metadata; python_version < "3.8"->pre-commit->paddlehub==1.6.0) (7.2.0)
Requirement already satisfied: oauthlib>=3.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=1.15->paddlehub==1.6.0) (3.1.0)
Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=1.15->paddlehub==1.6.0) (0.4.8)
情感倾向分析（Sentiment Classification，简称Senta）针对带有主观描述的中文文本，可自动判断该文本的情感极性类别并给出相应的置信度，能够帮助企业理解用户消费习惯、分析热点话题和危机舆情监控，为企业提供有利的决策支持。
#安装情感分析模型
!hub install senta_lstm==1.1.0
Module senta_lstm-1.1.0 already installed in /home/aistudio/.paddlehub/modules/senta_lstm
#!hub run senta_lstm --input_text "这家餐厅很难吃"
!hub run senta_lstm --input_text "人工智能课程很有趣"
[{'text': '人工智能课程很有趣', 'sentiment_label': 1, 'sentiment_key': 'positive', 'positive_probs': 0.9572, 'negative_probs': 0.0428}]
PyramidBox-Lite是基于2018年百度发表于计算机视觉顶级会议ECCV 2018的论文PyramidBox而研发的轻量级模型，模型基于主干网络FaceBoxes，对于光照、口罩遮挡、表情变化、尺度变化等常见问题具有很强的鲁棒性。该PaddleHub Module基于WIDER FACE数据集和百度自采人脸数据集进行训练，支持预测，可用于检测人脸是否佩戴口罩。
#安装口罩检测模型
!hub install pyramidbox_lite_mobile_mask==1.1.0
Module pyramidbox_lite_mobile_mask-1.1.0 already installed in /home/aistudio/.paddlehub/modules/pyramidbox_lite_mobile_mask
!hub run pyramidbox_lite_mobile_mask --input_path "data/data31681/test.jpeg"
image with bbox drawed saved as /home/aistudio/detection_result/test.jpeg
[{'data': {'label': 'MASK', 'left': 678.9846324920654, 'right': 893.2966804504395, 'top': 241.90926098823547, 'bottom': 487.2313024997711, 'confidence': 0.9711812}, 'id': 1, 'path': 'data/data31681/test.jpeg'}]
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
test_img_path = "data/data31681/test.jpeg"
img = mpimg.imread(test_img_path)
# 展示待预测图片
plt.figure(figsize=(10,10))
plt.imshow(img)
plt.axis('off')
plt.show()
# 预测结果展示
test_img_path = "./detection_result/test.jpeg"
img = mpimg.imread(test_img_path)
# 展示预测结果图片
plt.figure(figsize=(10,10))
plt.imshow(img)
plt.axis('off')
plt.show()
import paddlehub as hub
import cv2
module = hub.Module(name="pyramidbox_lite_mobile_mask")
test_img_path = "data/data31681/test.jpeg"
# set input dict
input_dict = {"data": [cv2.imread(test_img_path)]}
results = module.face_detection(data=input_dict)
print(results)
[32m[2020-07-28 19:35:01,778] [ INFO] - Installing pyramidbox_lite_mobile_mask module[0m
[32m[2020-07-28 19:35:01,790] [ INFO] - Module pyramidbox_lite_mobile_mask already installed in /home/aistudio/.paddlehub/modules/pyramidbox_lite_mobile_mask[0m
[32m[2020-07-28 19:35:01,872] [ INFO] - Installing pyramidbox_lite_mobile module-1.1.0[0m
[32m[2020-07-28 19:35:01,883] [ INFO] - Module pyramidbox_lite_mobile-1.1.0 already installed in /home/aistudio/.paddlehub/modules/pyramidbox_lite_mobile[0m
[32m[2020-07-28 19:35:02,058] [ INFO] - 133 pretrained paramaters loaded by PaddleHub[0m
[32m[2020-07-28 19:35:02,101] [ INFO] - 0 pretrained paramaters loaded by PaddleHub[0m
[{'data': {'label': 'MASK', 'left': 678.9846324920654, 'right': 893.2966804504395, 'top': 241.90926098823547, 'bottom': 487.2313024997711, 'confidence': 0.9711812}, 'id': 1}]
import paddlehub as hub
humanseg = hub.Module(name="deeplabv3p_xception65_humanseg")
[32m[2020-07-28 19:50:10,621] [ INFO] - Installing deeplabv3p_xception65_humanseg module[0m
[32m[2020-07-28 19:50:10,638] [ INFO] - Module deeplabv3p_xception65_humanseg already installed in /home/aistudio/.paddlehub/modules/deeplabv3p_xception65_humanseg[0m
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
path = ["data/data31681/test.jpeg"]
results = humanseg.segmentation(data={"image":path})
# 预测结果展示
test_img_path = results[0]["processed"]
img = mpimg.imread(test_img_path)
# 展示预测结果图片
plt.figure(figsize=(10,10))
plt.imshow(img)
plt.axis('off')
plt.show()
import paddlehub as hub
import cv2
stylepro_artistic = hub.Module(name="stylepro_artistic")
[32m[2020-07-28 19:37:51,942] [ INFO] - Installing stylepro_artistic module[0m
Downloading stylepro_artistic
[==================================================] 100.00%
Uncompress /home/aistudio/.paddlehub/tmp/tmp7k0c4aca/stylepro_artistic
[==================================================] 100.00%
[32m[2020-07-28 19:37:54,855] [ INFO] - Successfully installed stylepro_artistic-1.0.0[0m
results = stylepro_artistic.style_transfer(images=[{
'content': cv2.imread("data/data31681/main.png"),
'styles': [cv2.imread("data/data31681/style1.png")]}],
alpha = 1.0, # style图片所占的权重
visualization = True) # 是否保存结果图片
# 原图展示
test_img_path = "data/data31681/main.png"
img = mpimg.imread(test_img_path)
plt.figure(figsize=(10,10))
plt.imshow(img)
plt.axis('off')
plt.show()
# 原图展示
test_img_path = "data/data31681/style1.png"
img = mpimg.imread(test_img_path)
plt.figure(figsize=(10,10))
plt.imshow(img)
plt.axis('off')
plt.show()
# 预测结果展示
test_img_path = "transfer_result/ndarray_1587809892.1425676.jpg"
img = mpimg.imread(test_img_path)
# 展示预测结果图片
plt.figure(figsize=(10,10))
plt.imshow(img)
plt.axis('off')
plt.show()
https://aistudio.baidu.com/aistudio/education/preview/485677