Repository for playing the computer vision apps: People analytics on Raspberry Pi.

Overview

Hits contributions welcome GitHub contributors GitHub last commit GitHub top language GitHub language count GitHub repo size GitHub code size in bytes LinkedIn

play-with-torch

Repository for playing the computer vision apps: People analytics on Raspberry Pi.

Tools

Tested Hardware

  • RasberryPi 4 Model B here, RAM: 4 GB and Processor 4-core @ 1.5 GHz
  • microSD Card 64 GB
  • 5M USB Retractable Clip 120 Degrees WebCam Web Wide-angle Camera Laptop U7 Mini or Raspi Camera

Tested Software

  • Ubuntu Desktop 20.10 aarch64 64 bit, install on RasberriPi 4
  • PyTorch: torch 1.6.0 aarch64 and torchvision 0.7.0 aarch64
  • Python min. ver. 3.6 (3.8 recommended)

Install the prerequisites

  • Install packages
$ sudo apt install build-essential make cmake git python3-pip libatlas-base-dev
$ sudo apt install libssl-dev
$ sudo apt install libopenblas-dev libblas-dev m4 python3-yaml
$ sudo apt install libomp-dev
  • make swap space to 2048 MB
$ free -h
$ sudo swapoff -a
$ sudo dd if=/dev/zero of=/swapfile bs=1M count=2048
$ sudo mkswap /swapfile
$ sudo swapon /swapfile
$ free -h
  • Install torch 1.6.0
$ pip3 install torch-1.6.0a0+b31f58d-cp38-cp38-linux_aarch64.whl

Folder Structure

play-with-torch/
├── config/
│    ├── config.json - holds configuration for training
│    └── parse_config.py - class to handle config file and cli options
│
├── docker/
│   ├── Dockerfile
│   └── requirements.txt
│
├── data/ - default directory for storing input data
│
├── docs/ - for documentation
│   └── play-with-torch.tex
│
├── models/ - models, losses, and metrics
│   ├── model.py
│   ├── metric.py
│   └── loss.py
│
├── samples/
│
├── saved/
│   ├── checkpoints/
│   ├── traced_model/
│   ├── models/ - trained models are saved here
│   └── logs/ - default logdir for tensorboard and logging output
│
├── site
├── templates/ - for serving model on Flask
│   └── index.html
├── tests/
├── utils/ - small utility functions
│   ├── data/
│   └── ...
│
├── inference.py - main script to inference model
├── README.md
├── trace_model.py - main script to convert model
└── train.py - main script to start training  

Usage

Run inference

$ git clone https://github.com/mheriyanto/play-with-torch.git
$ cd play-with-torch/
$ python3 inference.py video --config config/nanodet-m.yml --model saved/models/nanodet_m.ckpt --path video.mp4

Convert model

$ python3 trace_model.py --cfg_path config/nanodet-m.yml --model_path saved/models/nanodet_m.ckpt --input_shape 320,320

Training

$ python3 train.py config/nanodet_custom_xml_dataset.yml

TO DO

  • Implement Unit-Test: Test-Driven Development (TDD)

Credit to

Reference

  • NanoDet: Super fast and lightweight anchor-free object detection model. here
  • Yunjey Choi - PyTorch Tutorial for Deep Learning Researchers here
  • Victor Huang - PyTorch Template Project (here)
Owner
eMHa
Sharing is caring. "What I can't create I don't understand".
eMHa
A small C++ implementation of LSTM networks, focused on OCR.

clstm CLSTM is an implementation of the LSTM recurrent neural network model in C++, using the Eigen library for numerical computations. Status and sco

Tom 794 Dec 30, 2022
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Attention-based OCR Visual attention-based OCR model for image recognition with additional tools for creating TFRecords datasets and exporting the tra

Ed Medvedev 933 Dec 29, 2022
CNN+Attention+Seq2Seq

Attention_OCR CNN+Attention+Seq2Seq The model and its tensor transformation are shown in the figure below It is necessary ch_ train and ch_ test the p

Tsukinousag1 2 Jul 14, 2022
Library used to deskew a scanned document

Deskew //Note: Skew is measured in degrees. Deskewing is a process whereby skew is removed by rotating an image by the same amount as its skew but in

Stéphane Brunner 273 Jan 06, 2023
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

Microsoft 235 Dec 22, 2022
Here use convulation with sobel filter from scratch in opencv python .

Here use convulation with sobel filter from scratch in opencv python .

Tamzid hasan 2 Nov 11, 2021
Textboxes implementation with Tensorflow (python)

tb_tensorflow A python implementation of TextBoxes Dependencies TensorFlow r1.0 OpenCV2 Code from Chaoyue Wang 03/09/2017 Update: 1.Debugging optimize

Jayne Shin (신재인) 20 May 31, 2019
TextBoxes: A Fast Text Detector with a Single Deep Neural Network https://github.com/MhLiao/TextBoxes 基于SSD改进的文本检测算法,textBoxes_note记录了之前整理的笔记。

TextBoxes: A Fast Text Detector with a Single Deep Neural Network Introduction This paper presents an end-to-end trainable fast scene text detector, n

zhangjing1 24 Apr 28, 2022
Amazing 3D explosion animation using Pygame module.

3D Explosion Animation 💣 💥 🔥 Amazing explosion animation with Pygame. 💣 Explosion physics An Explosion instance is made of a set of Particle objec

Dylan Tintenfich 12 Mar 11, 2022
scantailor - Scan Tailor is an interactive post-processing tool for scanned pages.

Scan Tailor - scantailor.org This project is no longer maintained, and has not been maintained for a while. About Scan Tailor is an interactive post-p

1.5k Dec 28, 2022
~1000 book pages + OpenCV + python = page regions identified as paragraphs, lines, images, captions, etc.

cosc428-structor I had an open-ended Computer Vision assignment to complete, and an out-of-copyright book that I wanted to turn into an ebook. Convent

Chad Oliver 45 Dec 06, 2022
OCR, Object Detection, Number Plate, Real Time

README.md PrePareded anaconda env requirements.txt clova AI → deep text recognition → trained weights (ex, .pth) wpod-net weights (ex, .h5 , .json) ht

Kaven Lee 7 Dec 06, 2022
Automatically download multiple papers by keywords in CVPR

CVFPaperHelper Automatically download multiple papers by keywords in CVPR Install mkdir PapersToRead cd PaperToRead pip install requests tqdm git clon

46 Jun 08, 2022
This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

CVZone This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe librar

CVZone 648 Dec 30, 2022
a micro OCR network with 0.07mb params.

MicroOCR a micro OCR network with 0.07mb params. Layer (type) Output Shape Param # Conv2d-1 [-1, 64, 8,

william 29 Aug 06, 2022
kaldi-asr/kaldi is the official location of the Kaldi project.

Kaldi Speech Recognition Toolkit To build the toolkit: see ./INSTALL. These instructions are valid for UNIX systems including various flavors of Linux

Kaldi 12.3k Jan 05, 2023
DouZero is a reinforcement learning framework for DouDizhu - 斗地主AI

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

Kwai 3.1k Jan 05, 2023
This Repository contain Opencv Projects in python

Python-Opencv OpenCV OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was

Yash Sakre 2 Nov 06, 2021
Extract tables from scanned image PDFs using Optical Character Recognition.

ocr-table This project aims to extract tables from scanned image PDFs using Optical Character Recognition. Install Requirements Tesseract OCR sudo apt

Abhijeet Singh 209 Dec 06, 2022
BoxToolBox is a simple python application built around the openCV library

BoxToolBox is a simple python application built around the openCV library. It is not a full featured application to guide you through the w

František Horínek 1 Nov 12, 2021