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.

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

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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

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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.

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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

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