aieml/tensorflow-object-detection-api-configuration

This tutorial discusses how to configure the Tensorflow Object Detection API in windows and how implement custom object detection.

tensorflow-object-detection-api-configuration

This tutorial discusses how to configure the Tensorflow Object Detection API in windows and how implement custom object detection.

Credits & Links

1. Download Tensorflow Object Detection API
2. How to install Tensorflow Object Detection

Installing the Tensorflow Object Detection API

1. Download the tensorflow object detection api from Github
2. Open the Anaconda Prompt and install the dependencies for windows,

pip install tensorflow==2.4.1
pip install Cython
pip install contextlib2
pip install pillow
pip install lxml
pip install jupyter
pip install matplotlib
pip install tf_slim
pip install opencv-python

3. Download the files from this repository
4. Copy and paste protoc.exe file in the path models-master\research
5. Open the Commmand Prompt in models-master\research and copy and run the command included in protoc command.txt
6. Copy the files object_detection_tutorial.ipynb, 1.0 Customized Object Detection.ipynb & 1.1 Customized Object Detection-Video.ipynb into models-master\research
7. Run above codes and check

Models used in Tensorflow Object Detection API