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#opencv

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The OpenCV Perception Challenge for Bin-Picking is in full-swing, with teams submitting solutions to the leaderboard. If you're in the robotics or AI space, this is a great way to test your skills, win a share of the $60,000 in prizes, and most excitingly be part of an official CVPR Workshop at CVPR 2025 in Nashville!

Sign up to participate: bpc.opencv.org/web/challenges/
See the leaderboard: bpc.opencv.org/web/challenges/

Perception Challenge for Bin-pickingPerception Challenge for Bin-pickingA competition focused on the real-world robustness of 6DoF solutions for the industry. This will involve estimating the position and orientation of objects in scenes typical for bin-picking. An automated system will rank teams on accuracy and efficiency.

Registrations for the Perception Challenge for Bin-Picking have been open for about a month, and nearly 1000 participants have registered! Now it’s time for us to open submissions, and for you to show us what you can do. For today’s live stream we’ve invited Vahe Taamazyan from Intrinsic for a full tutorial on how to get the code, get the data, and submit your solutions. youtube.com/live/32D0TrsI06E

🐍✨ Ever wondered how to bring image recognition to the web? Come join us tomorrow (Thursday) at 7pm at Michigan Python!

I'll be sharing how to build a mobile image recognition app using OpenCV and PyScript using a fun Pokémon example. We'll cover:
- Building mobile-friendly computer vision apps
- Running Python in the browser with PyScript
- Real-world applications of OpenCV
- Live demo and code examples

#Python #OpenCV #PyScript #Pokemon

See you there! 🎯📱

meetup.com/michigan-python/eve

MeetupHybrid MI Python: Build a Mobile Image Recognition App, Thu, Feb 6, 2025, 7:00 PM | MeetupThis beginner friendly talk shows how to make an image recognition mobile app using OpenCV and PyScript. We'll go through a fun example of detecting Pokémon cards with your

strip-p-ed out

Some more pictures of the #patterns to bypass #cctv #facerecognition.

Picture 1: data visualisation of CCTVs ratios in 5 European cities (cctv/surface, cctv/population, cctv/crime index). #knitting on the #kniterate machine

Picture 2: doodled stripes on #inkscape with hatches paste effect. #knitting on the #kniterate machine

Picture 3: #sewing a ready-made pattern from deadstock fabrics

Picture 4: Exhibition view. A visitor trying the garment with live CCTV face recognition (#opencv)

Model: Élodie Goldberg
#fabricademy project 2024

For more info see my previous post!

strip-p-ed out

A 3 months #research around #patterns to bypass #cctv #facerecognition.
Tested with #opencv.
Project done in the #fabricademy, a programme over textile and technology, at the @greenfabric node.

I knitted 2 kimonos on a #kniterate, a semi-industrial #machineknitting with deadstock yarns. The 3rd one is a deadstock fabric whose pattern was already a working #camouflage for opencv.

The project is fully documented here:
class.textile-academy.org/2024

Concerning cctv surveillance, France has recently gone crazy over it... it seems like they want to recognise logos from organisations in protests and faces associated with them... does someone know an opencv algorithm to detect specific images? Or does it necessarily go through machine learning?

Hey #OpenCV #ComputerVision #Python

I would like to point a camera at an area of the house and have it announce when a dog has entered the camera frame.

I am quite handy with Python and can muddle my way through C-like stuff if I have good documentation or example code.

Is this easy or hard? Hard is not a dealbreaker, just trying to tune my expectations a bit.

edit: strictly speaking, it only needs to spot two dogs, that I have many photos of, but a generic dog detector would also be fine.