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DenseDepth Alternatives
Similar projects and alternatives to DenseDepth
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MiDaS
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"
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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.
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Deep-Learning-Push-Up-Counter
Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
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Marigold
[CVPR 2024 - Oral] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
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PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
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DenseDepth reviews and mentions
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How to Estimate Depth from a Single Image
For a long time, the state-of-the-art models for monocular depth estimation such as DORN and DenseDepth were built with convolutional neural networks. Recently, however, both transformer-based models such as DPT and GLPN, and diffusion-based models like Marigold have achieved remarkable results!
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Instead of just doing grayscale for depth, you should consider using “monocular depth estimation” that actually tries to reconstruct a depth map from an RGB image. There are a variety of open-source libs available like this one.
- alô meus programadores do r/brasil preciso de uma ajuda...
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Looking for a fast monocular depth estimation library to use in a Rust project.
After that I have to do the same for Python I think, and then I have to find out how to figure out how to use a library like https://github.com/ialhashim/DenseDepth or https://github.com/nianticlabs/monodepth2 for that GStreamer plugin (or element, still trying to grasp the terminology here)
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MiDaS - Monocular Depth Estimation -- Includes an Optimized Model for ROS
Others model implemented like github.com/ialhashim/DenseDepth have constraints on input (I think only 4:3 is one of them, if I remember correctly)
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Stats
ialhashim/DenseDepth is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of DenseDepth is Jupyter Notebook.
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