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introducing: fruit xylophone a computer vision music experiment built with mediapipe hand tracking and roboflow RF-DETR object detection (running in realtime in the browser using transformers js)

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44,537 görüntüleme • 3 ay önce •via X (Twitter)

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i made Dumb Drum Revolution. smack everyday objects to create "music" built with: - roboflow RF-DETR for object detection - mediapipe hand tracking - web audio API and some drum samples runs in realtime in the browser for all your drumming needs
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i made Dumb Drum Revolution. smack everyday objects to create "music" built with: - roboflow RF-DETR for object detection - mediapipe hand tracking - web audio API and some drum samples runs in realtime in the browser for all your drumming needs

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another experiment with fruit, computer vision, and projection mapping live object detections (roboflow RF-DETR model) are used to control the animated scene (threejs) i also added mediapipe segmentation to the pipeline to create collisions with my silhouette, but i haven't gotten a hang of it yet more experiments are underway
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another experiment with fruit, computer vision, and projection mapping live object detections (roboflow RF-DETR model) are used to control the animated scene (threejs) i also added mediapipe segmentation to the pipeline to create collisions with my silhouette, but i haven't gotten a hang of it yet more experiments are underway

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i made donkey kong but you play with pushups and planks and it's quite inconvenient made with javascript, canvas, roboflow RF-DETR (for banana detection), and mediapipe body pose tracking lmk if you want to play a few fitness games like this and i'll try to get these online
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i made donkey kong but you play with pushups and planks and it's quite inconvenient made with javascript, canvas, roboflow RF-DETR (for banana detection), and mediapipe body pose tracking lmk if you want to play a few fitness games like this and i'll try to get these online

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We just shipped React Native ExecuTorch v0.8.0 – our biggest release yet! 👏🏼 ➡️ Vision Camera integration that runs computer vision models directly on your camera feed, in realtime. Also new: multiple CV models (including RF-DETR (Roboflow) and Liquid AI's Vision Language), Bare React Native support, and more. Takes minutes to try – check out the repo! ⬇️
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We just shipped React Native ExecuTorch v0.8.0 – our biggest release yet! 👏🏼 ➡️ Vision Camera integration that runs computer vision models directly on your camera feed, in realtime. Also new: multiple CV models (including RF-DETR (Roboflow) and Liquid AI's Vision Language), Bare React Native support, and more. Takes minutes to try – check out the repo! ⬇️

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RF-DETR is now available in Hugging Face transformers state of the art in both detection and segmentation, outperforming YOLO architectures - checkpoints: - demo: - docs:
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RF-DETR is now available in Hugging Face transformers state of the art in both detection and segmentation, outperforming YOLO architectures - checkpoints: - demo: - docs:

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introducing: The Claw a webgame built with threejs, mediapipe computer vision, and gemini 3 how many alien friends can you save?
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introducing: The Claw a webgame built with threejs, mediapipe computer vision, and gemini 3 how many alien friends can you save?

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RF-DETR just landed to Hugging Face transformers 🥵🔥 sota real-time detection & segmentation models by Roboflow 💜 > play with our real-time demo > fine-tune the models on your use case with our tutorials (takes a toaster's VRAM) > or just hand them to your agents 😄
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RF-DETR just landed to Hugging Face transformers 🥵🔥 sota real-time detection & segmentation models by Roboflow 💜 > play with our real-time demo > fine-tune the models on your use case with our tutorials (takes a toaster's VRAM) > or just hand them to your agents 😄

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Real-time DEtection Transformer (RT-DETR) landed in Hugging Face transformers 🤩 with Apache 2.0 license 😍 do DETRs Beat YOLOs on Real-time Object Detection? keep reading 👀

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gemini 3: build a jarvis HUD interface for tony stark a quick experiment with mediapipe computer vision, threejs, and javascript

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i'm building an AI soccer coach to improve my shooting using: - roboflow RF-DETR to detect the ball / net / player - mediapipe to record body angles when striking the ball - python to analyze and annotate the video i'll also try adding a VLM into the pipeline for coaching feedback
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i'm building an AI soccer coach to improve my shooting using: - roboflow RF-DETR to detect the ball / net / player - mediapipe to record body angles when striking the ball - python to analyze and annotate the video i'll also try adding a VLM into the pipeline for coaching feedback

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i built an app to search old travel photos on my computer with natural language queries using free local AI models: - smolVLM to describe the scene and colours - roboflow RF-DETR to detect objects - chromaDB to store metadata labels and run semantic search - python + streamlit for the interface fast and free search has been achieved internally
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i built an app to search old travel photos on my computer with natural language queries using free local AI models: - smolVLM to describe the scene and colours - roboflow RF-DETR to detect objects - chromaDB to store metadata labels and run semantic search - python + streamlit for the interface fast and free search has been achieved internally

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smart parking demo - RF-DETR - license plate detection - OC-SORT - multi-object tracking - GLM-OCR - reading license plates on Monday I showed you trackers, yesterday GLM-OCR, today I'm putting everything together
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gemini: teach me how to fly using mediapipe computer vision and threejs to make a first-person flappy bird game
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gemini: teach me how to fly using mediapipe computer vision and threejs to make a first-person flappy bird game

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Sam 3 by Facebook now on MLX 🚀 Here is a realtime object tracking running on M3 Max 96GB.
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Sam 3 by Facebook now on MLX 🚀 Here is a realtime object tracking running on M3 Max 96GB.

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Designing glassware in the browser - in realtime - with physical thickness simulation made with Three.js and Needle

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which tutorial (+code) should I release next? > Left: 3D graph data viz > Right: Severance game projects are built with Three.js and mediapipe AI vision learn how to build real-time hand tracking apps for 3D design, games, etc.
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which tutorial (+code) should I release next? > Left: 3D graph data viz > Right: Severance game projects are built with Three.js and mediapipe AI vision learn how to build real-time hand tracking apps for 3D design, games, etc.

AA

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built a custom video-gen pipeline for drones for making a custom low latency drone detection + tracking + future trajectory prediction pipeline with 3D reconstruction. based on modern stack involving Roboflow and Ultralytics for custom data pipeline and model building and Rerun for visualisation...
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built a custom video-gen pipeline for drones for making a custom low latency drone detection + tracking + future trajectory prediction pipeline with 3D reconstruction. based on modern stack involving Roboflow and Ultralytics for custom data pipeline and model building and Rerun for visualisation...

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I can't stop playing with Rapid Roboflow. The process is so smooth that you can just: - Go to the rapid roboflow platform - Drop a few images or a short video - Type a prompt like “yellow cap” or “person wearing red hat” - Instantly get a working detection model No training, no GPUs, no cloud setup. Plug it straight into your app. It’s also baked into Roboflow Workflows, so you can instantly build automations like “count vials crossing this line” in minutes. Computer vision just went from weeks in seconds.

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there's no catch; SAM3 is open source and really good one of the things it does really well is object tracking, even in crazy complex scenes like basketball probably my favorite computer vision model ever

SkalskiP

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Wow! Here’s a first look at Rec Room running on the Apple Vision Pro. You will be able to play it with hand tracking.
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Wow! Here’s a first look at Rec Room running on the Apple Vision Pro. You will be able to play it with hand tracking.

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