- Learn about MobileNets and separable depthwise convolutions.
- The SSD (Single Shot Detection) architecture used for object detection
- Use pretrained TensorFlow object detection inference models to detect objects
- Use different architectures and weigh the tradeoffs.
- Apply an object detection pipeline to a video.
Open the notebook and work through it!
Install environment with Anaconda:
conda env create -f environment.ymlChange TensorFlow pip installation from tensorflow-gpu to tensorflow if you don't have a GPU available.
The environment should be listed via conda info --envs:
# conda environments:
#
carnd-advdl-odlab /usr/local/anaconda3/envs/carnd-advdl-odlab
root * /usr/local/anaconda3Further documentation on working with Anaconda environments.
Particularly useful sections:
https://conda.io/docs/using/envs.html#change-environments-activate-deactivate https://conda.io/docs/using/envs.html#remove-an-environment
- TensorFlow object detection model zoo
- Driving video
- Experiment with Fast-R-CNN / Faster-R-CNN and compare its performance with SSD on the same * Driving video