aquamam
An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions. (by airalcorn2)
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans (by DeepLabCut)
| aquamam | DeepLabCut | |
|---|---|---|
| 3 | 12 | |
| 1 | 4,304 | |
| - | 1.7% | |
| 3.6 | 8.6 | |
| 8 months ago | 7 days ago | |
| Python | Python | |
| MIT License | GNU Lesser General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
aquamam
Posts with mentions or reviews of aquamam.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-27.
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DeepVoxels: Learning Persistent 3D Feature Embeddings
This paper is near and dear to my heart because I saw the presentation at the first and only machine learning conference I've ever attended (thanks a lot, ICML, NeurIPS (x2), and ICLR!). It's a neural rendering approach that precedes NeRF, but you can see some similarities (even more so in the follow-up paper about "Scene Representation Networks"). Sitzmann and co-authors also published a paper about using sinusoidal activations in implicit representation models at NeurIPS 2020, the same conference where the "Fourier Features" paper (which has many of the same authors as the NeRF paper) was also presented. It's always interesting to me to see how ideas in science often pop-up at the same time from different researchers (e.g., attention).
- AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions
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[R] AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions
Code for the paper can be found here.
DeepLabCut
Posts with mentions or reviews of DeepLabCut.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-15.
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Landmark tracking / Pose estimation model training in TensorFlow :
Use DeepLabCut, I also strongly suggest that you should fund their work: https://github.com/DeepLabCut/DeepLabCut
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DeepLabCut alternatives - leap, DeepPoseKit, APT, sleap, and anipose
6 projects | 15 Jul 2022
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Help: Using CV to recognize angles and lines from a picture
DeepLabCut is also worth mentioning here
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Backyard AI dog poop detector walkthrough
1 - Detecting the dog's body parts was the most difficult portion of this, and thankfully I stumbled upon DeepLabCut (https://github.com/DeepLabCut/DeepLabCut) which enables training a model to track a specific animal(s) posture. In the video, this is basically the dots that are overlayed on top of the dog, and follower her around. DeepLabCut is basically just saying that this is where it thinks it recognizes "spine" and "tail".
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Built a dog poop detector for my backyard
I used https://github.com/DeepLabCut/DeepLabCut for the core dog tracking capability, then I wrote the code that analyzes the posture (output by the model, trained via DeepLabCut) of the dog.
I built a dog poop detector for my backyard using DeepLabCut (https://github.com/DeepLabCut/DeepLabCut) and some janky poop detection heuristics I wrote that processed on the detected posture of my dog, if it's in the frame of my security camera. If it detects my dog pooping, it will record the location in a CSV and draw all the locations on an up to date image of my backyard.
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[P] Built a dog poop detector for my backyard
Also, check out DeepLabCut. My project wouldn't have been possible without it, and it's really cool: https://github.com/DeepLabCut/DeepLabCut
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I want to create a pill counter using points instead of bounding boxes. What model should I train from?
Well you could try DeepLabCut - https://github.com/DeepLabCut/DeepLabCut
- DeepLabCut: Deep-learning based markerless pose estimation for all animals
- Can AI make 3d model using my 2d photos ?
What are some alternatives?
When comparing aquamam and DeepLabCut you can also consider the following projects:
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
DeepPoseKit - a toolkit for pose estimation using deep learning
Hierarchical-Localization - Visual localization made easy with hloc
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
baller2vec - A multi-entity Transformer for multi-agent spatiotemporal modeling.
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK
sleap - A deep learning framework for multi-animal pose tracking.
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
OpenCV - Open Source Computer Vision Library
baller2vecplusplus - A look-ahead multi-entity Transformer for modeling coordinated agents.
Hekate-Toolbox - A toolbox for Hekate
aquamam vs openpifpaf
DeepLabCut vs DeepPoseKit
aquamam vs Hierarchical-Localization
DeepLabCut vs yolov5
aquamam vs baller2vec
DeepLabCut vs lightweight-human-pose-estimation.pytorch
aquamam vs ailia-models
DeepLabCut vs sleap
aquamam vs SuperGluePretrainedNetwork
DeepLabCut vs OpenCV
aquamam vs baller2vecplusplus
DeepLabCut vs Hekate-Toolbox