MonoDepthEst

Introduction📢

The project aims to implement a depth estimation system with a single camera, implemented with Keras.

To have an overview of the project, check the poster in the repository

Preparation⚙

1. Make sure you have python development environment on your PC.

2. Before running the training and testing scripts, first run below command to install dependencies

   pip install -r "requirements.txt"
   

   This project is tested with Keras 2.4.3 (tensorflow 2.3.0 as backend), CUDA 11.0, Python 3.6.7 on Ubuntu 18.04 and Windows 10

3. Download Training & Testing Set and Trained Model to the root directory (no need to extract) and corresponding folder

Training⏳

• The model is trained on the platform with NVIDIA Tesla K80 GPU @ 240.48 GB/s 12GB, at the bs = 4
• Run python train.py , see more helping info with adding -h as an extra argument in CMD

Evaluation & Prediction⚖

Evaluation🥇:

• To evaluate the model run python evaluate.py , add --model to import your own trained model
• You will have the six evaluation criteria (threshold accuracies, average relative error, root mean squared error, average error):

Prediction 🖼:

• Run python predict.py --input yourpic.jpg
• Note: if you download the trained model, the detection range is limited to 10 meters

Future Work📆

The project will be used in "Flea Market" project for indoor prediction and 3D reconstruction.