Computer Vision application in the web

Last update: Dec 06, 2022

Overview

Computer Vision application in the web

Preview

Usage

Clone this repo

git clone https://github.com/amineHY/WebApp-Computer-Vision-streamlit.git

cd WebApp-Computer-Vision-streamlit

Install dependencies
```
pip3 install -r requirements.txt
```
Run the app on your local machine
```
streamlit run main.py
```

Run inside Docker

Pull the docker-streamlit-app image (available in Github)

dockr pull aminehy/docker-streamlit-app:latest

then run with

docker run -ti --rm -v $(pwd):/app aminehy/docker-streamlit-app:latest

Video supports

=> www.inveesion.com

Want to contribute ?

This is an open source project, so you can contribute to this project by creating an issue than a pull request.

Owner

Amine Hadj-Youcef. PhD

I LOVE solving problems using code and mathematics. I enjoy sharing my work to benefit others, let's connect.

GitHub Repository https://www.inveesion.com

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

ST++ This is the official PyTorch implementation of our paper: ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. Lihe Ya

147 Jan 03, 2023

Scikit-learn compatible estimation of general graphical models

skggm : Gaussian graphical models using the scikit-learn API In the last decade, learning networks that encode conditional independence relationships

213 Jan 02, 2023

Implementation of the GVP-Transformer, which was used in the paper "Learning inverse folding from millions of predicted structures" for de novo protein design alongside Alphafold2

GVP Transformer (wip) Implementation of the GVP-Transformer, which was used in the paper Learning inverse folding from millions of predicted structure

19 May 06, 2022

Convert BART models to ONNX with quantization. 3X reduction in size, and upto 3X boost in inference speed

fast-Bart Reduction of BART model size by 3X, and boost in inference speed up to 3X BART implementation of the fastT5 library (https://github.com/Ki6a

19 Dec 09, 2022

A facial recognition doorbell system using a Raspberry Pi

Facial Recognition Doorbell This project expands on the person-detecting doorbell system to allow it to identify faces, and announce names accordingly

22 Apr 15, 2022

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Github Code of "MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices" Introduction This repo is official PyTorch implementatio

203 Jan 05, 2023

Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

Learning Motion Priors for 4D Human Body Capture in 3D Scenes (LEMO) Official Pytorch implementation for 2021 ICCV (oral) paper "Learning Motion Prior

165 Dec 19, 2022

A unified 3D Transformer Pipeline for visual synthesis

Overview This is the official repo for the paper: "NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion". NÜWA is a unified multimodal

2.6k Jan 03, 2023

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm Overview Kalman Filter requires the true p

57 Dec 27, 2022

Code release for General Greedy De-bias Learning

General Greedy De-bias for Dataset Biases This is an extention of "Greedy Gradient Ensemble for Robust Visual Question Answering" (ICCV 2021, Oral). T

4 Mar 15, 2022

DeepLab is a state-of-art deep learning system for semantic image segmentation built on top of Caffe.

DeepLab Introduction DeepLab is a state-of-art deep learning system for semantic image segmentation built on top of Caffe. It combines densely-compute

234 Nov 14, 2022

Immortal tracker

Immortal_tracker Prerequisite Our code is tested for Python 3.6. To install required liabraries: pip install -r requirements.txt Waymo Open Dataset P

74 Dec 03, 2022

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

Episodic Transformers (E.T.) Episodic Transformer for Vision-and-Language Navigation Alexander Pashevich, Cordelia Schmid, Chen Sun Episodic Transform

62 Dec 24, 2022

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

3.4k Jan 07, 2023

《Single Image Reflection Removal Beyond Linearity》(CVPR 2019)

Single-Image-Reflection-Removal-Beyond-Linearity Paper Single Image Reflection Removal Beyond Linearity. Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, G

51 Jun 24, 2022

This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs)

Description This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs) in [Gardy et

0 Feb 09, 2022

Computer Vision application in the web

Related tags

Overview

Computer Vision application in the web

Preview

Usage

Run inside Docker

Video supports

Want to contribute ?

Owner

Amine Hadj-Youcef. PhD

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

Scikit-learn compatible estimation of general graphical models

Implementation of the GVP-Transformer, which was used in the paper "Learning inverse folding from millions of predicted structures" for de novo protein design alongside Alphafold2

Convert BART models to ONNX with quantization. 3X reduction in size, and upto 3X boost in inference speed

A facial recognition doorbell system using a Raspberry Pi

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

A unified 3D Transformer Pipeline for visual synthesis

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

Code release for General Greedy De-bias Learning

DeepLab is a state-of-art deep learning system for semantic image segmentation built on top of Caffe.

Immortal tracker

Episodic Transformer (E.T.) is a novel attention-based architecture for vision-and-language navigation. E.T. is based on a multimodal transformer that encodes language inputs and the full episode history of visual observations and actions.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

《Single Image Reflection Removal Beyond Linearity》(CVPR 2019)

This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs)

Checkout some cool self-projects you can try your hands on to curb your boredom this December!

SSD-based Object Detection in PyTorch

Efficient Online Bayesian Inference for Neural Bandits

Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition