Monodepth Estimation with Open VINO
This tutorial demonstrates Monocular Depth Estimation with MidasNet in OpenVINO. Model information can be found here.
What is Monodepth?
Monocular Depth Estimation is the task of estimating scene depth using a single image. It has many potential applications in robotics, 3D reconstruction, medical imaging and autonomous systems. This tutorial uses a neural network model called MiDaS, which was developed by the Embodied AI Foundation. See the research paper below to learn more.
R. Ranftl, K. Lasinger, D. Hafner, K. Schindler and V. Koltun, ”Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2020.3019967.
I tested to run a demonstration model created in PyTorch that was executed in Googles Colab with Open VINO with INTEL Movidius Myriad X VPU as target HW platform.
