evopose2d
tensorflow_Realtime_Multi-Person_Pose_Estimation
| evopose2d | tensorflow_Realtime_Multi-Person_Pose_Estimation | |
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| 1 | 1 | |
| 82 | 212 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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evopose2d
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Is there an easy way to add pose estimation into a sequential tensorflow model?
You could try EvoPose2D. It uses the TF2 Keras API. It outputs heatmaps, though, so your second network could either work with the heatmaps directly or you could try converting the heatmaps to x,y coordinates by implementing a soft argmax.
tensorflow_Realtime_Multi-Person_Pose_Estimation
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[Help] Multiple Keypoints Estimation
I've seen this kind of repo too : https://github.com/michalfaber/tensorflow_Realtime_Multi-Person_Pose_Estimation
What are some alternatives?
posenet-python - A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
metrabs - Estimate absolute 3D human poses from RGB images.
LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
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.
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
DECIMER-Image_Transformer - DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
PoseEstimationForMobile - :dancer: Real-time single person pose estimation for Android and iOS.
Single-Stage-Multi-person-Pose-Machines - A tensorlfow implementation about arxiv paper "Single-Stage Multi-Person Pose Machines" (SPM)
pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.