| 1 |
Installation |
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| 2 |
Detect Objects Using Your Webcam |
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| 3 |
Training Custom Object Detector |
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| 4 |
Common issues |
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| 5 |
TensorFlow Object Detection API tutorial |
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| 6 |
Docs |
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| 7 |
¶ |
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| 8 |
here |
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| 9 |
Installation |
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| 10 |
General Remarks |
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| 11 |
Install Anaconda Python 3.7 (Optional) |
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| 12 |
TensorFlow Installation |
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TensorFlow CPU |
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Create a new Conda virtual environment (Optional) |
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Install TensorFlow CPU for Python |
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Test your Installation |
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TensorFlow GPU |
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Install CUDA Toolkit |
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Install CUDNN |
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Environment Setup |
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Update your GPU drivers (Optional) |
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Create a new Conda virtual environment |
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Install TensorFlow GPU for Python |
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Test your Installation |
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| 25 |
TensorFlow Models Installation |
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Install Prerequisites |
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| 27 |
Downloading the TensorFlow Models |
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| 28 |
Protobuf Installation/Compilation |
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| 29 |
Adding necessary Environment Variables |
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COCO API installation (Optional) |
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Test your Installation |
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LabelImg Installation |
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Get from PyPI (Recommended) |
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| 34 |
Use precompiled binaries (Easy) |
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Build from source (Hard) |
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| 36 |
Detect Objects Using Your Webcam |
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| 37 |
Training Custom Object Detector |
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| 38 |
Preparing workspace |
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Annotating images |
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Part**ioning the images |
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| 41 |
Creating Label Map |
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Creating TensorFlow Records |
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Converting *.xml to *.csv |
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Converting from *.csv to *.record |
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Configuring a Training Pipeline |
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Training the Model |
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Evaluating the Model (Optional) |
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Monitor Training Job Progress using TensorBoard |
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| 49 |
Exporting a Trained Inference Graph |
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| 50 |
Common issues |
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