ONNX-PackNet-SfM: Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX

Overview

ONNX-PackNet-SfM

Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX

GLPDepth monocular depth estimation ONNX Original image:https://commons.wikimedia.org/wiki/File:HydeStreetSF.JPG

Requirements

  • Check the requirements.txt file. Additionally, pafy and youtube-dl are required for youtube video inference.

Installation

pip install -r requirements.txt
pip install pafy youtube_dl>=2021.12.17

ONNX model

The original models were converted to different formats (including .onnx) by PINTO0309, download the models from his repository and save them into the models folder.

Original Pytorch model

The Pytorch pretrained models were taken from the original repository.

Examples

  • Image inference:
python image_depth_estimation.py 
  • Video inference:
python video_depth_estimation.py
  • Webcam inference:
python webcam_depth_estimation.py

Inference video Example

GLPDepth monocular depth estimation ONNX

Original video: https://www.youtube.com/watch?v=z_9GiRz12-4

References:

You might also like...
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

LapDepth-release This repository is a Pytorch implementation of the paper "Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals" M

Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in Tensorflow Lite.
Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in Tensorflow Lite.

TFLite-msg_chn_wacv20-depth-completion Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model

Python scripts for performing lane detection using the LSTR model in ONNX
Python scripts for performing lane detection using the LSTR model in ONNX

ONNX LSTR Lane Detection Python scripts for performing lane detection using the Lane Shape Prediction with Transformers (LSTR) model in ONNX. Requirem

Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.

ONNX-HybridNets-Multitask-Road-Detection Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONN

Python scripts performing class agnostic object localization using the Object Localization Network model in ONNX.
Python scripts performing class agnostic object localization using the Object Localization Network model in ONNX.

ONNX Object Localization Network Python scripts performing class agnostic object localization using the Object Localization Network model in ONNX. Ori

Light-weight network, depth estimation, knowledge distillation, real-time depth estimation, auxiliary data.
Light-weight network, depth estimation, knowledge distillation, real-time depth estimation, auxiliary data.

light-weight-depth-estimation Boosting Light-Weight Depth Estimation Via Knowledge Distillation, https://arxiv.org/abs/2105.06143 Junjie Hu, Chenyou F

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX.
Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX.

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

[CVPR 2021] Monocular depth estimation using wavelets for efficiency
[CVPR 2021] Monocular depth estimation using wavelets for efficiency

Single Image Depth Prediction with Wavelet Decomposition Michaël Ramamonjisoa, Michael Firman, Jamie Watson, Vincent Lepetit and Daniyar Turmukhambeto

Official implementation of the network presented in the paper
Official implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"

M4Depth This is the reference TensorFlow implementation for training and testing depth estimation models using the method described in M4Depth: A moti

Comments
  • Save resulting depth video?

    Save resulting depth video?

    Thanks for sharing your implementation!
    How would one go about saving a .mp4 of the depth output from video_depth_estimation.py? In other words, how did you create your side by side video example?

    opened by noobtoob4lyfe 1
  • convert2onnx result in a wrong output

    convert2onnx result in a wrong output

    could you please tell me how to convert the .ckpt to onnx correctly? I have got a wrong output when using my converted onnx with the same input as .ckpt.

    opened by SergeLiu 0
Owner
Ibai Gorordo
Passionate about sensors, technology and their potential to help people.
Ibai Gorordo
Python scripts form performing stereo depth estimation using the CoEx model in ONNX.

ONNX-CoEx-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the CoEx model in ONNX. Stereo depth estimation on the

Ibai Gorordo 8 Dec 29, 2022
Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

ONNX-HITNET-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the HITNET model in ONNX. Stereo depth estimation on

Ibai Gorordo 30 Nov 8, 2022
Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX

ONNX-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX Stereo depth estimation on the cone

Ibai Gorordo 23 Nov 29, 2022
Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in ONNX

ONNX msg_chn_wacv20 depth completion Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20 model in

Ibai Gorordo 19 Oct 22, 2022
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

merged_depth runs (1) AdaBins, (2) DiverseDepth, (3) MiDaS, (4) SGDepth, and (5) Monodepth2, and calculates a weighted-average per-pixel absolute dept

Pranav 39 Nov 21, 2022
Python scripts for performing stereo depth estimation using the HITNET Tensorflow model.

HITNET-Stereo-Depth-estimation Python scripts for performing stereo depth estimation using the HITNET Tensorflow model from Google Research. Stereo de

Ibai Gorordo 76 Jan 2, 2023
Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch .

PyTorch-High-Res-Stereo-Depth-Estimation Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch. Stereo dep

Ibai Gorordo 26 Nov 24, 2022
Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.

TFLite-HITNET-Stereo-depth-estimation Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite. Stereo depth e

Ibai Gorordo 22 Oct 20, 2022
Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite.

TFLite-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite. Stereo depth estimati

Ibai Gorordo 4 Feb 14, 2022
Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

Ibai Gorordo 99 Dec 31, 2022