Table of Contents

• About the Project
  • Requirements
• Getting Started
  • Prerequisites
  • Installation
• Usage
• License
• Contact

About The Project

Perform inference using an object detection model and TensorFlow

Requirements

• Docker

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

• Install Docker

Installation

1. Clone the repo

git clone https://github.com/tachillon/Inference-object-detection-TensorFlow

2. Build the docker container

docker build -t <container_name>:<tag> .

Usage

docker run --rm -it -v <path/to/workdir>:/tmp <container_name>:<tag> python3 /tmp/inference_on_images.py

inference_on_images.py/
├─ resultats/
├─ model/
│  ├─ frozen_inference_graph.pb
│  ├─ label.pbtxt
├─ images/
│  ├─ img1.jpg
│  ├─ img2.jpg
│  ├─ img3.jpg

Caution: the model to detect object is not provided.

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Achille-Tâm GUILCHARD - achilletamguilchard@gmail.com