amass
tensorflow_Realtime_Multi-Person_Pose_Estimation
| amass | tensorflow_Realtime_Multi-Person_Pose_Estimation | |
|---|---|---|
| 1 | 1 | |
| 571 | 212 | |
| - | - | |
| 0.0 | 0.0 | |
| 6 days ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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amass
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How to render/visualize SMPL-H in jupyter notebook ?
I downloaded a few .npz files from the AMASS dataset and tried to render them on the provided notebook on their github. It runs fine on their example but fails everytime I use npz from AMASS.
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?
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
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.
evopose2d - EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
keras_cv_stable_diffusion_to_tflite - Scripts for converting Keras CV Stable Diffusion to tflite
ChineseTtsTflite - Android Chinese TTS Engine Base On Tensorflow TTS , use for TfLite Models Test。安卓离线中文TTS引擎，在TensorflowTTS基础上开发，用于TfLite模型测试。