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update install branch (#51)
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Коммит
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@ -36,7 +36,7 @@ There are sample notebooks in the `misinformation/notebooks` folder for you to e
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**You can run this notebook on google colab: [Here](https://colab.research.google.com/github/ssciwr/misinformation/blob/main/notebooks/get-text-from-image.ipynb)**
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**You can run this notebook on google colab: [Here](https://colab.research.google.com/github/ssciwr/misinformation/blob/main/notebooks/get-text-from-image.ipynb)**
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Place the data files and google cloud vision API key in your google drive to access the data.
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Place the data files and google cloud vision API key in your google drive to access the data.
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1. Facial analysis: Use the notebook `facial_expressions.ipynb` to identify if there are faces on the image, if they are wearing masks, and if they are not wearing masks also the race, gender and dominant emotion.
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1. Facial analysis: Use the notebook `facial_expressions.ipynb` to identify if there are faces on the image, if they are wearing masks, and if they are not wearing masks also the race, gender and dominant emotion.
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**You can run this notebook on google colab: [Here](https://colab.research.google.com/github/ssciwr/misinformation/blob/main/notebooks/facial_expressions.)**
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**You can run this notebook on google colab: [Here](https://colab.research.google.com/github/ssciwr/misinformation/blob/main/notebooks/facial_expressions.ipynb)**
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Place the data files in your google drive to access the data.**
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Place the data files in your google drive to access the data.**
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1. Object analysis: Use the notebook `ojects_expression.ipynb` to identify certain objects in the image. Currently, the following objects are being identified: person, bicycle, car, motorcycle, airplane, bus, train, truck, boat, traffic light, cell phone.
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1. Object analysis: Use the notebook `ojects_expression.ipynb` to identify certain objects in the image. Currently, the following objects are being identified: person, bicycle, car, motorcycle, airplane, bus, train, truck, boat, traffic light, cell phone.
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2
notebooks/facial_expressions.ipynb
сгенерированный
2
notebooks/facial_expressions.ipynb
сгенерированный
@ -32,7 +32,7 @@
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" # install setuptools\n",
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" # install setuptools\n",
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" !pip install setuptools==61 -qqq\n",
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" !pip install setuptools==61 -qqq\n",
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" # install misinformation\n",
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" # install misinformation\n",
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" !pip install git+https://github.com/ssciwr/misinformation.git@set-up-colab -qqq\n",
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" !pip install git+https://github.com/ssciwr/misinformation.git -qqq\n",
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" # mount google drive for data and API key\n",
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" # mount google drive for data and API key\n",
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" from google.colab import drive\n",
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" from google.colab import drive\n",
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"\n",
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"\n",
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4
notebooks/get-text-from-image.ipynb
сгенерированный
4
notebooks/get-text-from-image.ipynb
сгенерированный
@ -25,7 +25,7 @@
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" # install setuptools\n",
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" # install setuptools\n",
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" !pip install setuptools==61 -qqq\n",
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" !pip install setuptools==61 -qqq\n",
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" # install misinformation\n",
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" # install misinformation\n",
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" !pip install git+https://github.com/ssciwr/misinformation.git@set-up-colab -qqq\n",
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" !pip install git+https://github.com/ssciwr/misinformation.git -qqq\n",
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" # mount google drive for data and API key\n",
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" # mount google drive for data and API key\n",
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" from google.colab import drive\n",
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" from google.colab import drive\n",
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"\n",
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"\n",
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@ -117,7 +117,7 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"misinformation.explore_analysis(mydict, identify=\"text-on-image\", analyse_text=True)"
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"misinformation.explore_analysis(mydict, identify=\"text-on-image\")"
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]
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]
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},
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},
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{
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{
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