Simple object detection app with streamlit

Last update: Jan 02, 2023

Overview

object-detection-app

Simple object detection app with streamlit. Upload an image and perform object detection. Adjust the confidence threshold to see how this affects predictions.

Run with Docker

From the root dir:

    docker build -t robmarkcole/object-detection-app .
    docker run -p 8501:8501 robmarkcole/object-detection-app:latest

Then visit localhost:8501

Development

Using devcontainer, see basic python example repo and more advanced repo. Use this streamlit docker template. Note you cannot docker run at the same time as the devcontainer as the ports clash.

References

I took a lot of inspiration from this article by Adrian Rosebrock.

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

CLOCs is a novel Camera-LiDAR Object Candidates fusion network. It provides a low-complexity multi-modal fusion framework that improves the performance of single-modality detectors. CLOCs operates on the combined output candidates of any 3D and any 2D detector, and is trained to produce more accurate 3D and 2D detection results.

254 Dec 16, 2022

Object Detection and Multi-Object Tracking

1.6k Jan 4, 2023

Object tracking and object detection is applied to track golf puts in real time and display stats/games.

Putting_Game Object tracking and object detection is applied to track golf puts in real time and display stats/games. Works best with the Perfect Prac

1 Dec 29, 2021

Auto-Lama combines object detection and image inpainting to automate object removals

Auto-Lama Auto-Lama combines object detection and image inpainting to automate object removals. It is build on top of DE:TR from Facebook Research and

44 Dec 9, 2022

A Data Annotation Tool for Semantic Segmentation, Object Detection and Lane Line Detection.(In Development Stage)

Data-Annotation-Tool How to Run this Tool? To run this software, follow the steps: git clone https://github.com/Autonomous-Car-Project/Data-Annotation

13 Aug 18, 2022

object detection; robust detection; ACM MM21 grand challenge; Security AI Challenger Phase VII

赛题背景在商品知识产权领域，知识产权体现为在线商品的设计和品牌。不幸的是，在每一天，存在着非法商户通过一些对抗手段干扰商标识别来逃避侵权，这带来了很高的知识产权风险和财务损失。为了促进先进的多媒体人工智能技术的发展，以保护企业来之不易的创作和想法免受恶意使用和剽窃，因此提出了鲁棒性标识检测挑战赛

65 Dec 22, 2022

This project deals with the detection of skin lesions within the ISICs dataset using YOLOv3 Object Detection with Darknet.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Skin Lesion detection using YOLO This project deal

1 Nov 22, 2021

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

PyBx WIP A simple python module to generate anchor (aka default/prior) boxes for object detection tasks. Calculated anchor boxes are returned as ndarr

4 Dec 15, 2022

This is a simple framework to make object detection dataset very quickly

FastAnnotation Table of contents General info Requirements Setup General info This is a simple framework to make object detection dataset very quickly

1 Jan 24, 2022

Comments

Camera

Hi

great project and an inspired one, I would like to know if I want to connect a camera or a phone camera instead of the computer camera , what should I include ? and what steps I need to add or remove?

appreciate your feedback

opened by oalharb 1
Bump opencv-python from 4.1.2.30 to 4.2.0.32
Bumps opencv-python from 4.1.2.30 to 4.2.0.32.

Release notes

Sourced from opencv-python's releases.

4.2.0.32

opencv-python: https://pypi.org/project/opencv-python/

opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/

opencv-python-headless: https://pypi.org/project/opencv-python-headless/

opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/

OpenCV version 4.2.0.

Changes:

macOS environment updated from xcode8.3 to xcode 9.4

macOS uses now Qt 5 instead of Qt 4

Nasm version updated to Docker containers

multibuild updated

Fixes:

don't use deprecated brew tap-pin, instead refer to the full package name when installing #267

replace get_config_var() with get_config_vars() in setup.py #274

add workaround for DLL errors in Windows Server #264

Commits

See full diff in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0

Simple object detection app with streamlit

Related tags

Overview

object-detection-app

Run with Docker

Development

References

You might also like...

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

Object Detection and Multi-Object Tracking

Object tracking and object detection is applied to track golf puts in real time and display stats/games.

Auto-Lama combines object detection and image inpainting to automate object removals

A Data Annotation Tool for Semantic Segmentation, Object Detection and Lane Line Detection.(In Development Stage)

object detection; robust detection; ACM MM21 grand challenge; Security AI Challenger Phase VII

This project deals with the detection of skin lesions within the ISICs dataset using YOLOv3 Object Detection with Darknet.

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

This is a simple framework to make object detection dataset very quickly

Comments

Camera

Bump opencv-python from 4.1.2.30 to 4.2.0.32

4.2.0.32

Releases(v0.3)

v0.3(Dec 23, 2019)

v0.2(Dec 23, 2019)

v0.1(Dec 23, 2019)

Owner

Robin Cole

Official code base for the poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation" published in NeurIPS 2021 Workshop (SVRHM)

Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

Semantic Segmentation Architectures Implemented in PyTorch

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

Instant-nerf-pytorch - NeRF trained SUPER FAST in pytorch

Plug-n-Play Reinforcement Learning in Python with OpenAI Gym and JAX

SafePicking: Learning Safe Object Extraction via Object-Level Mapping, ICRA 2022

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Multi-Scale Aligned Distillation for Low-Resolution Detection (CVPR2021)

"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8

Advanced yabai wooting scripts

Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5)

Code repo for "Transformer on a Diet" paper

Fantasy Points Prediction and Dream Team Formation

GLIP: Grounded Language-Image Pre-training

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

An example of semantic segmentation using tensorflow in eager execution.

code for paper -- "Seamless Satellite-image Synthesis"

Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"