amass
LoFTR
amass | LoFTR | |
---|---|---|
1 | 1 | |
571 | 2,076 | |
- | 2.1% | |
0.0 | 1.9 | |
6 days ago | 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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.
LoFTR
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[R] LoFTR: Detector-Free Local Feature Matching with Transformers
github: https://github.com/zju3dv/LoFTR
What are some alternatives?
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Hierarchical-Localization - Visual localization made easy with hloc
TFLitePoseEstimation - TensorFlow Lite Pose Estimation Python Implementation
trt_pose_hand - Real-time hand pose estimation and gesture classification using TensorRT
tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
BoofCV - Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.
pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.