The project developed using TensorFlow to detect the License-Plate with some accuracy.
- TensorFlow 1.0
- OpenCV
- NumPy
- Setting up the Object_Detection directory structure in an Environment
- Gathering Data
- label pictures using labelImg
- Creating a labelmap
- Making xml Data
- Conveting xml to CSV & CSV to TFRecord format
- Train by using Pre-trained models provided by TensorFlow
- Monitor Training Job Progress using TensorBoard
- Exporting the inference graph
- Using the two Important frozen_inference_graph.pb & label_map.pbtxt files we can Detect Object
- Image
- Camera
- Video Clip