paddlehub学习

#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
Collecting paddlehub==1.6.0
[?25l  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/7f/9f/6617c2b8e9c5d847803ae89924b58bccd1b8fb2c98aa00e16531540591f2/paddlehub-1.6.0-py3-none-any.whl (206kB)
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Installing collected packages: paddlehub
  Found existing installation: paddlehub 1.5.0
    Uninstalling paddlehub-1.5.0:
      Successfully uninstalled paddlehub-1.5.0
Successfully installed paddlehub-1.6.0

情感分析

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

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
2020-04-25 20:22:04,395-INFO: font search path ['/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/mpl-data/fonts/ttf', '/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/mpl-data/fonts/afm', '/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/mpl-data/fonts/pdfcorefonts']
2020-04-25 20:22:04,785-INFO: generated new fontManager
Downloading senta_lstm
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Uncompress /home/aistudio/.paddlehub/tmp/tmpx2g3daqe/senta_lstm
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Successfully installed senta_lstm-1.1.0

#!hub run senta_lstm --input_text "这家餐厅很好吃"

!hub run senta_lstm --input_text "人工智能课程很有趣"

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
Downloading lac
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[{'text': '人工智能课程很有趣', 'sentiment_label': 1, 'sentiment_key': 'positive', 'positive_probs': 0.9572, 'negative_probs': 0.0428}]

口罩检测

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。

一键使用

#安装口罩检测模型
!hub install pyramidbox_lite_mobile_mask==1.1.0

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
Downloading pyramidbox_lite_mobile_mask
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Uncompress /home/aistudio/.paddlehub/tmp/tmpfpr1tnua/pyramidbox_lite_mobile_mask
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Successfully installed pyramidbox_lite_mobile_mask-1.1.0

!hub run pyramidbox_lite_mobile_mask --input_path "data/data31681/test.jpeg"

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
Downloading pyramidbox_lite_mobile
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Uncompress /home/aistudio/.paddlehub/tmp/tmp2qiggeo7/pyramidbox_lite_mobile
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image with bbox drawed saved as /home/aistudio/detection_result/test.jpeg
[{'data': {'label': 'MASK', 'left': 678.9846324920654, 'right': 893.2966804504395, 'top': 241.9092297554016, 'bottom': 487.231333732605, '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()

[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-5nEGyUyo-1587818716154)(output_8_0.png)]

# 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()

[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-KqQ4R0Ct-1587818716187)(output_9_0.png)]

Python预测使用

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)

[2020-04-25 20:26:57,816] [    INFO] - Installing pyramidbox_lite_mobile_mask module
[2020-04-25 20:26:57,949] [    INFO] - Module pyramidbox_lite_mobile_mask already installed in /home/aistudio/.paddlehub/modules/pyramidbox_lite_mobile_mask
[2020-04-25 20:26:58,029] [    INFO] - Installing pyramidbox_lite_mobile module-1.1.0
[2020-04-25 20:26:58,041] [    INFO] - Module pyramidbox_lite_mobile-1.1.0 already installed in /home/aistudio/.paddlehub/modules/pyramidbox_lite_mobile
[2020-04-25 20:26:58,211] [    INFO] - 133 pretrained paramaters loaded by PaddleHub
[2020-04-25 20:26:58,250] [    INFO] - 0 pretrained paramaters loaded by PaddleHub