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Merge pull request #1827 from korrawat/install-instruction
Make object detection's installation instruction more obvious
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object_detection/README.md

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## Table of contents
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Before You Start:
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* <a href='g3doc/installation.md'>Installation</a><br>
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Quick Start:
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* <a href='object_detection_tutorial.ipynb'>
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Quick Start: Jupyter notebook for off-the-shelf inference</a><br>
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* <a href="g3doc/running_pets.md">Quick Start: Training a pet detector</a><br>
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Setup:
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* <a href='g3doc/installation.md'>Installation</a><br>
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* <a href='g3doc/configuring_jobs.md'>
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Configuring an object detection pipeline</a><br>
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* <a href='g3doc/preparing_inputs.md'>Preparing inputs</a><br>

object_detection/object_detection_tutorial.ipynb

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"metadata": {},
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"source": [
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"# Object Detection Demo\n",
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"Welcome to the object detection inference walkthrough! This notebook will walk you step by step through the process of using a pre-trained model to detect objects in an image."
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"Welcome to the object detection inference walkthrough! This notebook will walk you step by step through the process of using a pre-trained model to detect objects in an image. Make sure to follow the [installation instructions](https://github.com/tensorflow/models/blob/master/object_detection/g3doc/installation.md) before you start."
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"\n",
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"Any model exported using the `export_inference_graph.py` tool can be loaded here simply by changing `PATH_TO_CKPT` to point to a new .pb file. \n",
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"\n",
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"By default we use an \"SSD with Mobilenet\" model here. See the [detection model zoo](g3doc/detection_model_zoo.md) for a list of other models that can be run out-of-the-box with varying speeds and accuracies."
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"By default we use an \"SSD with Mobilenet\" model here. See the [detection model zoo](https://github.com/tensorflow/models/blob/master/object_detection/g3doc/detection_model_zoo.md) for a list of other models that can be run out-of-the-box with varying speeds and accuracies."
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{

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