ineuron-pvt-ltd / pose-with-action

🏃 🚶 💃 Pose-With-Action

• This repository represents " Action Recognition Using Alphapose ".
• With the help of this project we can detect the human Actions/Activities based on the Human Pose.

📝 Description

• This implemantation is based on official Alphapose repository https://github.com/MVIG-SJTU/AlphaPose
• In this project we have used Alphapose and XGBOOST for activity recognition.

⏳ Dataset

• Download the dataset for custom training
• https://drive.google.com/drive/folders/1CFxvuigTzbnRXUojFeCRozxjUbYiQ8RM?usp=sharing

🏽‍ Download Object Detection Model

• Download the object detection model manually : yolov3-spp.weights file from following Drive Link
• https://drive.google.com/file/d/1h2g_wQ270_pckpRCHJb9K78uDf-2PsPd/view?usp=sharing
• Download the weight file and Place it into " detector/yolo/data/ " folder.

🏽‍ For Pose Tracking, Download the object tracking model

• For pose tracking, download the object tracking model manually: " JDE-1088x608-uncertainty " from following Drive Link
• https://drive.google.com/file/d/1oeK1aj9t7pTi1u70nSIwx0qNVWvEvRrf/view?usp=sharing
• Download the file and Place it into " detector/tracker/data/ ". folder.

🏽‍ Download Fast.res50.pt file

• Download the " fast.res50.pth " file from following Drive Link
• https://drive.google.com/file/d/1WrvycZnVWwltSa6cjeTznEFOyNAwHEZu/view?usp=sharing
• Download the file and Place it into " pretrained_models/ ". folder.

🖥️ Installation

🛠️ Requirements

• Python 3.5+
• Cython
• PyTorch 1.1+
• torchvision 0.3.0+
• Linux
• GCC<6.0, check facebookresearch/maskrcnn-benchmark#25

⚙️ Setup

1. Install PyTorch :-

$ pip3 install torch==1.1.0 torchvision==0.3.0

2. Install :-

$ export PATH=/usr/local/cuda/bin/:$PATH

$ export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH

$ pip install cython

$ sudo apt-get install libyaml-dev

$ python setup.py build develop --user

$ python -m pip install Pillow==6.2.1

$ pip install -U PyYAML

🎯 Inference demo

1. Testing with Images ( Put test images in AlphaPose/examples/demo/ ) :-

$ python scripts/demo_inference.py --cfg configs/coco/resnet/256x192_res50_lr1e-3_1x.yaml --checkpoint pretrained_models/fast_res50_256x192.pth --indir examples/demo/ --save_img

2. Testing with Video ( Put test video in AlphaPose/examples/demo/ ) :-

$ python scripts/demo_inference.py --cfg configs/coco/resnet/256x192_res50_lr1e-3_1x.yaml --checkpoint pretrained_models/fast_res50_256x192.pth --video examples/demo/3.mp4 --outdir examples/res1 --save_video --gpus 0

📖 Please Go through Pose_With_Action_HLD2.docx for more info.

Contributors

• Akshay Kumar Prasad
• Akshay Namdev Kadam
• Arjun K
• ATUL KUMAR
• Deepak Kumar Behera
• Jerryl Davis
• Kancharla Bharath Kumar
• Karthik P
• Madhavi Patel
• Mukesh
• Oinam Bhobendra
• pamita singh kandari
• Sameer sudhir Deshmukh
• Sasidharan M
• shrinivas kandlikar

pose-with-action's Issues

Location of saved images

Thanks a lot for a great job!

Can you tell me, in which folder are predicted images saved?

Trained models not found in drive

For post tracking and fast api model is not shared in drive

training a Classification Machine Learning model

Thank you for a great project!

Can you share a step-by-step how did you train a Classification Machine learning model ?
Which script did you run to train a classification model?

Now I have a custom dataset, and I have a json file for my data. Now I need to train a classification model for that.

Thanks in advance!