cvnn
DeepPoseKit
cvnn | DeepPoseKit | |
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1 | 5 | |
143 | 379 | |
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3.2 | 0.0 | |
28 days ago | almost 2 years ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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cvnn
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[R] Complex-Valued Neural Networks
CVNNs are quite under supported, there are several 3rd party libraries done for doing them. Here is mine: https://github.com/NEGU93/cvnn/
DeepPoseKit
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DeepLabCut alternatives - leap, DeepPoseKit, APT, sleap, and anipose
6 projects | 15 Jul 2022
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I want to create a pill counter using points instead of bounding boxes. What model should I train from?
Or a variation called DeepPoseKit - https://github.com/jgraving/DeepPoseKit which hasn't been as updated as recently but is easier to batch / code.
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How do I crop out the face mask from the images?
If you want to do the NN solution, I'd record some videos of the papers being held, toss those into DeepPoseKit to create my landmarks, then use a polygon mask to slice the image.
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Web app that digitizes the chessboard positions in pictures from any angle
To get the board corners I estimated them with deepposekit. https://github.com/jgraving/DeepPoseKit
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[R]How to go about non-reproducible research?
This is what I call a disgusting code : https://github.com/jgraving/deepposekit
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Keras - Deep Learning for humans
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
rootsMapPython - Fractals made from complex roots of all possible polynomials of certain degree (12 - 24) and small set of complex coefficients (2 or 3), littlewood polynomials included
PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
Algorithmic-Video-Suggestion-LIB - Algorithmic Video Suggestion LIB is a software tool that suggests videos to users based on their past viewing habits and preferences. It uses advanced technology to analyze the user's viewing data and make smart predictions about what videos they would like to watch next.
reformer-pytorch - Reformer, the efficient Transformer, in Pytorch
TensorFI - TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework. You can find more information about TensorFI in the paper below.
RSCalibration - Docs and scripts to estimate a camera's rolling shutter readout time
pycopent - Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
LSTM-FCN - Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification