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If real-time is not a strict requirement, a good tradeoff between ease of use and SOTA performances is https://colmap.github.io/. I have used it many times and it gives decent results (usually).
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For instance you could go with : https://github.com/ov2slam/ov2slam , add some processing on the keyframes for depth maps computation and then fuse the depth maps in a TSDF using https://github.com/personalrobotics/OpenChisel or https://github.com/ethz-asl/voxblox
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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For instance you could go with : https://github.com/ov2slam/ov2slam , add some processing on the keyframes for depth maps computation and then fuse the depth maps in a TSDF using https://github.com/personalrobotics/OpenChisel or https://github.com/ethz-asl/voxblox
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voxblox
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
For instance you could go with : https://github.com/ov2slam/ov2slam , add some processing on the keyframes for depth maps computation and then fuse the depth maps in a TSDF using https://github.com/personalrobotics/OpenChisel or https://github.com/ethz-asl/voxblox
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MonoRec
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
I've stumbled upon this and that using DL, and will try to check to simultaneously evaluate them next to developing something using pySLAM. At least that's the current plan.
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pixel-perfect-sfm
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
I've stumbled upon this and that using DL, and will try to check to simultaneously evaluate them next to developing something using pySLAM. At least that's the current plan.
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pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
I've stumbled upon this and that using DL, and will try to check to simultaneously evaluate them next to developing something using pySLAM. At least that's the current plan.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
