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.
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
- Predicting the depth of an arbitrary image:
python3 predict_img.py -i <path_to_image>
- 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 |