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gate_detection_tf's Introduction

Underwater Object (Gate) Detection using TensorFlow

Overview

This repository created to train a model and detect an underwater object using tensorflow API.

Getting Ready

1. Install tensorflow

sudo apt update
sudo apt install python3-dev python3-pip
pip3 install --user --upgrade tensorflow

2. Get your images for dataset.

3. Use labelimg to label images.

pip3 install labelImg

4. Run xml2csv script to convert xml files.

python3 xml2csv.py

5. Install tensorflow model

git clone https://github.com/tensorflow/models.git
sudo apt-get install protobuf-compiler python-pil python-lxml
cd models/
protoc object_detection/protos/*.proto --python_out=.
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
sudo python3 setup.py install

6. Run script for train and test

python3 generate-tfrecord.py --csv_input=data/train-labels.csv --output_path=data/train.record --image_dir=images/train/

python3 generate-tfrecord.py --csv_input=data/test-labels.csv --output_path=data/test.record --image_dir=images/test/

Training

Local

  • Train on your PC, run this script.

Server

gate_detection_tf's People

Contributors

zahid8 avatar

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