This tutorial discusses how to configure the Tensorflow Object Detection API in windows and how implement custom object detection.
- Download the tensorflow object detection api from Github
- Open the Anaconda Prompt and install the dependencies for windows,
pip install tensorflow
pip install Cython
pip install contextlib2
pip install pillow
pip install lxml
pip install jupyter
- Download the files from this repository
- Copy and paste
protoc.exe
file in the pathmodels-master\research
- Open the Commmand Prompt in
models-master\research
and copy and run the command included inprotoc command.txt
- Copy the files
object_detection_tutorial.ipynb
,1.0 Customized Object Detection.ipynb
&1.1 Customized Object Detection-Video.ipynb
intomodels-master\research
- Run above codes and check