object-detection

Simple trial code for AAT object detection project. Based on Tensorflow object detection model, picked out the key code and did some modifications, visualized the counting data to the video screen. Traffic video captured from Youtube Channel Jackson Hole Wyoming USA Town Square Live Cam - SeeJH.com

Preview

Dependencies

Tensorflow Object Detection API depends on the following libraries:

• Protobuf 3.0.0
• Python-tk
• Pillow 1.0
• lxml
• tf Slim (which is included in the "tensorflow/models/research/" checkout)
• Jupyter notebook
• Matplotlib
• Tensorflow (>=1.12.0)
• Cython
• contextlib2
• cocoapi

For detailed steps to install Tensorflow, follow the Tensorflow installation instructions. A typical user can install Tensorflow using one of the following commands:

# For CPU
pip install tensorflow
# For GPU
pip install tensorflow-gpu

The remaining libraries can be installed on Ubuntu 16.04 using via apt-get:

sudo apt-get install protobuf-compiler python-pil python-lxml python-tk
pip install --user Cython
pip install --user contextlib2
pip install --user jupyter
pip install --user matplotlib

Alternatively, users can install dependencies using pip:

pip install --user Cython
pip install --user contextlib2
pip install --user pillow
pip install --user lxml
pip install --user jupyter
pip install --user matplotlib