depth_estimation_with_densenet-unet_hybrid's Introduction

Hybrid DenseNet-based CNN for Single Image Depth Estimation

This repository contains an updated version of the CNN from my repository DE_resnet_unet_hyb. The ResNet backbone has been replaced with a DenseNet169.

Requirements

The code was tested with:

python 3.5 and 3.6
pytorch (and torchvision) 1.3.0
opencv-python 3.4.3
matplotlib 2.2.3
numpy 1.15.4

Guide

Predicting the depth of an arbitrary image:

python3 predict_img.py -i <path_to_image>

Evalutation

Quantitative results on the NYU depth v2 test set:

REL	RMSE	Log10	δ1	δ2	δ3
0.129	0.588	0.056	0.833	0.962	0.990

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