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TensorRT implementation of Depth-Anything V1, V2
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
A semantic segmentation CNN for cloud detection
This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.
[ECCV 2022] DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右，书稿每章对应的代码也会被整理出来。
Tracking Benchmark for Correlation Filters
Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!
Enable macOS HiDPI and have a native setting.
Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"
Official implementation for ECCV 2022 paper "Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth"
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
This is an official code repository for the paper, "When the sun goes down: repairing photometric losses for all-day depth estimation".
Image-to-Image Translation in PyTorch
Software Development Kit for the Oxford Robotcar Dataset
This is the official repository for Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021).
Monocular Depth Estimation Toolbox based on MMSegmentation.
open Multi-View Stereo reconstruction library
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
🏠 PyTorch implementation of our ICCV2021 paper: StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
High Quality Monocular Depth Estimation via Transfer Learning
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation