This experiment attempts to build tensorflow models from scratch allowing us to play with the object detection API
Steps to make this work:
Build base CPU image (See instructions here)
Build the CPU Tensorflow models image (this might take a while)
> docker-compose up --build
After that you can access the jupyter notebook running at http://localhost:8888
and use password root
to enter the notebook
Run object_detection_tutorial.ipynb
by:
- Go to the menu, Click Cell > Run All
- Wait for the notebook to finish
- After it's done you should see the test images marked with the model's inference