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        "description": "![](http://cdn2.hubspot.net/hubfs/100006/images/tensorpy_logo_4_p.png \"TensorPy\")\n# TensorPy\n\n[![pypi](https://img.shields.io/pypi/v/tensorpy.svg)](https://pypi.python.org/pypi/tensorpy) [![Python version](https://img.shields.io/badge/python-2.7,_3.*-22AADD.svg \"Python version\")](https://docs.python.org/2/) [![Join the chat at https://gitter.im/TensorPy/Lobby](https://badges.gitter.im/TensorPy/TensorPy.svg)](https://gitter.im/TensorPy/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\n**Easy Image Classification with TensorFlow**\n\n[![TensorPy Tutorial](http://img.youtube.com/vi/lVtzaHcUE7Q/3.jpg)](https://www.youtube.com/watch?v=lVtzaHcUE7Q \"TensorPy Tutorial\")\n\n(**[Watch the 2-minute tutorial on YouTube](https://www.youtube.com/watch?v=lVtzaHcUE7Q)**)\n\n(**Upgraded** since that video was released!)\n\nYou can use TensorPy to classify images by simply passing a URL on the command line, or by using TensorPy in your Python programs. **[TensorFlow](https://www.tensorflow.org/)** does all the real work. TensorPy also simplifies TensorFlow installation by automating several setup steps into a single script (See **[install.sh](https://github.com/TensorPy/TensorPy/blob/master/install.sh)** for details).\n\n(Read **[how_tensorpy_works](https://github.com/TensorPy/TensorPy/blob/master/help_docs/how_tensorpy_works.md)** for a detailed explanation of how TensorPy works.)\n\n\n## Setup Steps for Mac & Ubuntu/Linux\n\n(**Windows & Docker users**: See the **[Docker ReadMe](https://github.com/TensorPy/TensorPy/blob/master/integrations/docker/ReadMe.md)** for running on a Docker machine. Windows requires Docker to run TensorFlow.)\n\n#### **Step 1:** Create and activate a virtual environment named \"tensorpy\"\n\nIf you're not sure how to create a virtual environment, **[follow these instructions](https://github.com/TensorPy/TensorPy/blob/master/help_docs/virtualenv_instructions.md)** to learn how.\n\n#### **Step 2:** Clone the TensorPy repo from GitHub\n\n```bash\ngit clone https://github.com/TensorPy/TensorPy.git\ncd TensorPy\n```\n\n#### **Step 3:** Install TensorPy, TensorFlow, and ImageNet/Inception\n\nUse **[install.sh](https://github.com/TensorPy/TensorPy/blob/master/install.sh)** to install everything you need.\n\n```bash\n./install.sh\n```\n\n#### **Step 4:** Run the examples\n\n(NOTE: Run times may vary depending on your Internet connection and computer's CPU speed.)\n\nClassify a single image from a URL:\n\n```bash\nclassify \"http://cdn2.hubspot.net/hubfs/100006/happy_animal.jpg\"\n```\n\nClassify all images on a web page:\n\n```bash\nclassify \"https://github.com/TensorPy/TensorPy/tree/master/examples/images\"\n```\n\nClassify a single image URL from a Python script: (See **[test_python_classify.py](https://github.com/TensorPy/TensorPy/blob/master/examples/test_python_classify.py)** for details.)\n\n```bash\npython examples/test_python_classify.py\n```\n\nClassify an image from a local file path:\n\n```bash\nclassify examples/images/cat_animal.jpg\n```\n\nClassify all images from a local folder:\n\n```bash\nclassify examples/images/\n```\n\n#### **Examples in Python programs:**\n\nClassify an image from a local file path using a Python script: (See **[test_python_file_classify.py](https://github.com/TensorPy/TensorPy/blob/master/examples/test_python_file_classify.py)** for details.)\n\n```bash\ncd examples\npython test_python_file_classify.py\n```\n\nClassify all images in a local folder using a Python script (Output = LIST): (See **[test_python_folder_classify.py](https://github.com/TensorPy/TensorPy/blob/master/examples/test_python_folder_classify.py)** for details.)\n\n```bash\ncd examples\npython test_python_folder_classify.py\n```\n\nClassify all images in a local folder using a Python script (Output = DICTIONARY): (See **[test_python_folder_classify_dict.py](https://github.com/TensorPy/TensorPy/blob/master/examples/test_python_folder_classify_dict.py)** for details.)\n\n```bash\ncd examples\npython test_python_folder_classify_dict.py\n```\n\n____________\n\n### Future Work:\n\nEventually, the headline will change from \"Image Classification with TensorFlow made easy!\" to \"Machine Learning with TensorFlow made easy!\" once I expand on TensorPy to make other features of TensorFlow easier too. Stay tuned for updates!\n\n\n",
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