Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.

Last update: Apr 07, 2022

Overview

Monopol

Indonesian Car License Plate (Indonesia Mobil Nomor Polisi) Character Recognition using Tensorflow, Keras and OpenCV.

Background

This application is created to accomplish computer vision course final project.

Methodology

Coming soon

Run Locally

Step-by-step to run this program.

Coming soon

Contributor

Jayaku Briliantio
Ferdy Nicolas
Jason Alexander
Martien Junaedi

License

MIT

Paper References

Title	Link
MobileNetV2: Inverted Residuals and Linear Bottlenecks	arXiv

Owner

Jayaku Briliantio

GitHub Repository

Official code for: A Probabilistic Hard Attention Model For Sequentially Observed Scenes

"A Probabilistic Hard Attention Model For Sequentially Observed Scenes" Authors: Samrudhdhi Rangrej, James Clark Accepted to: BMVC'21 A recurrent atte

5 Nov 19, 2022

This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust.

Demo BERT ONNX pipeline written in rust This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust. R

14 Dec 17, 2022

Process text, including tokenizing and representing sentences as vectors and Applying some concepts like RNN, LSTM and GRU to create a classifier can detect the language in which a sentence is written from among 17 languages.

Language Identifier What is this ? The goal of this project is to create a model that is able to predict a given sentence language through text proces

9 Dec 15, 2022

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.

TalkNet 2 [WIP] TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Predictio

69 Dec 17, 2022

Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.

Related tags

Overview

Monopol

Background

Methodology

Run Locally

Contributor

License

Paper References

Owner

Jayaku Briliantio

Official code for: A Probabilistic Hard Attention Model For Sequentially Observed Scenes

This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust.

Process text, including tokenizing and representing sentences as vectors and Applying some concepts like RNN, LSTM and GRU to create a classifier can detect the language in which a sentence is written from among 17 languages.

Unsupervised Image-to-Image Translation

Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

The implemention of Video Depth Estimation by Fusing Flow-to-Depth Proposals

Improving Machine Translation Systems via Isotopic Replacement

Simple reimplemetation experiments about FcaNet

GAN-based 3D human pose estimation model for 3DV'17 paper

PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020).

PyTorch implementation of paper: HPNet: Deep Primitive Segmentation Using Hybrid Representations.

Official implementation of ACTION-Net: Multipath Excitation for Action Recognition (CVPR'21).

ISTR: End-to-End Instance Segmentation with Transformers (https://arxiv.org/abs/2105.00637)

Progressive Domain Adaptation for Object Detection

ncnn is a high-performance neural network inference framework optimized for the mobile platform

World Models with TensorFlow 2

This is the repo for our work "Towards Persona-Based Empathetic Conversational Models" (EMNLP 2020)

quantize aware training package for NCNN on pytorch

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.