MoveNetを用いたPythonでの姿勢推定のデモ

Overview

MoveNet-Python-Example

MoveNetのPythonでの動作サンプルです。
ONNXに変換したモデルも同梱しています。変換自体を試したい方はMoveNet_tf2onnx.ipynbを使用ください。

smjqx-4ndt8

2021/08/24時点でTensorFlow Hubで提供されている以下モデルを使用しています。

Requirement

  • TensorFlow 2.3.0 or later
  • tensorflow-hub 0.12.0 or later
  • OpenCV 3.4.2 or later
  • onnxruntime 1.5.2 or later ※ONNX推論を使用する場合のみ

Demo

デモの実行方法は以下です。

SignlePose

python demo_singlepose.py
  • --device
    カメラデバイス番号の指定
    デフォルト:0
  • --file
    動画ファイルの指定 ※指定時はカメラデバイスより優先
    デフォルト:指定なし
  • --width
    カメラキャプチャ時の横幅
    デフォルト:960
  • --height
    カメラキャプチャ時の縦幅
    デフォルト:540
  • --mirror
    VideoCapture()取り込みデータを左右反転するか否か
    デフォルト:指定なし
  • --model_select
    使用モデルの選択
    Saved Model, ONNX:0→Lightning 1→Thunder
    TFLite:0→Lightning(float16) 1→Thunder(float16) 2→Lightning(int8) 3→Thunder(int8)
    デフォルト:0
  • --keypoint_score
    キーポイント表示の閾値
    デフォルト:0.4

MultiPose

python demo_multipose.py
  • --device
    カメラデバイス番号の指定
    デフォルト:0
  • --file
    動画ファイルの指定 ※指定時はカメラデバイスより優先
    デフォルト:指定なし
  • --width
    カメラキャプチャ時の横幅
    デフォルト:960
  • --height
    カメラキャプチャ時の縦幅
    デフォルト:540
  • --mirror
    VideoCapture()取り込みデータを左右反転するか否か
    デフォルト:指定なし
  • --keypoint_score
    キーポイント表示の閾値
    デフォルト:0.4
  • --bbox_score
    バウンディングボックス表示の閾値
    デフォルト:0.2

Reference

Author

高橋かずひと(https://twitter.com/KzhtTkhs)

License

MoveNet-Python-Example is under Apache-2.0 License.

License(Movie)

サンプル動画はNHKクリエイティブ・ライブラリーストリートバスケットを使用しています。

Owner
KazuhitoTakahashi
KazuhitoTakahashi
Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

mtomo Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation.

Katsuya Hyodo 24 Mar 02, 2022
Tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorboardX Write TensorBoard events with simple function call. The current release (v2.3) is tested on anaconda3, with PyTorch 1.8.1 / torchvision 0

Tzu-Wei Huang 7.5k Dec 28, 2022
PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

Anti-Backdoor Learning PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data. Check the unlearning effect

Yige-Li 51 Dec 07, 2022
Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Volumetric TSDF Fusion of RGB-D Images in Python This is a lightweight python script that fuses multiple registered color and depth images into a proj

Andy Zeng 845 Jan 03, 2023
🐸STT integration examples

🐸 STT 0.9.x Examples These are various examples on how to use or integrate 🐸 STT using our packages. It is a good way to just try out 🐸 STT before

coqui 92 Dec 19, 2022
Totally Versatile Miscellanea for Pytorch

Totally Versatile Miscellania for PyTorch Thomas Viehmann [email protected] Thi

Thomas Viehmann 428 Dec 28, 2022
Automated image registration. Registrationimation was too much of a mouthful.

alignimation Automated image registration. Registrationimation was too much of a mouthful. This repo contains the code used for my blog post Alignimat

Ethan Rosenthal 9 Oct 13, 2022
Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"

GLAT Implementation for the ACL2021 paper "Glancing Transformer for Non-Autoregressive Neural Machine Translation" Requirements Python = 3.7 Pytorch

117 Jan 09, 2023
This repository contains a Ruby API for utilizing TensorFlow.

tensorflow.rb Description This repository contains a Ruby API for utilizing TensorFlow. Linux CPU Linux GPU PIP Mac OS CPU Not Configured Not Configur

somatic labs 825 Dec 26, 2022
Code for CMaskTrack R-CNN (proposed in Occluded Video Instance Segmentation)

CMaskTrack R-CNN for OVIS This repo serves as the official code release of the CMaskTrack R-CNN model on the Occluded Video Instance Segmentation data

Q . J . Y 61 Nov 25, 2022
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.

TransMVSNet This repository contains the official implementation of the paper: "TransMVSNet: Global Context-aware Multi-view Stereo Network with Trans

旷视研究院 3D 组 155 Dec 29, 2022
Implementation of gaze tracking and demo

Predicting Customer Demand by Using Gaze Detecting and Object Tracking This project is the integration of gaze detecting and object tracking. Predict

2 Oct 20, 2022
Implementation detail for paper "Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet"

Multi-level-colonoscopy-malignant-tissue-detection-with-adversarial-CAC-UNet Implementation detail for our paper "Multi-level colonoscopy malignant ti

CVSM Group - email: <a href=[email protected]"> 84 Nov 22, 2022
A fast and easy to use, moddable, Python based Minecraft server!

PyMine PyMine - The fastest, easiest to use, Python-based Minecraft Server! Features Note: This list is not always up to date, and doesn't contain all

PyMine 144 Dec 30, 2022
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold

DeepDiffusion Introduction This repository provides the code of the DeepDiffusion algorithm for unsupervised learning of retrieval-adapted representat

4 Nov 15, 2022
Roger Labbe 13k Dec 29, 2022
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss This repository contains the TensorFlow implementation of the paper UnF

Simon Meister 270 Nov 06, 2022
Code for BMVC2021 paper "Boundary Guided Context Aggregation for Semantic Segmentation"

Boundary-Guided-Context-Aggregation Boundary Guided Context Aggregation for Semantic Segmentation Haoxiang Ma, Hongyu Yang, Di Huang In BMVC'2021 Pape

Haoxiang Ma 31 Jan 08, 2023
Python Assignments for the Deep Learning lectures by Andrew NG on coursera with complete submission for grading capability.

Python Assignments for the Deep Learning lectures by Andrew NG on coursera with complete submission for grading capability.

Utkarsh Agiwal 1 Feb 03, 2022
Unofficial pytorch implementation of the paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution"

DFSA Unofficial pytorch implementation of the ICCV 2021 paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution" (p

2 Nov 15, 2021