Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Detect objects in videos locally on iPhone using Roboflow's real-time detection transformer (RF-DETR) in SwiftUI + Core AI. Run the model on iOS for free, no API calls.👇 - - -

amos_gyamfi's profile picture

Amos Gyamfi

5,968 subscribers

12,675 görüntüleme • 8 gün önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

we are introducing a state-of-the-art real-time object detection model, RF-DETR RF-DETR outperforms all existing object detection models on real world datasets and is the first real-time model to achieve 60+ Average Precision on COCO talked w/ NVIDIA about it at GTC:
2:31

we are introducing a state-of-the-art real-time object detection model, RF-DETR RF-DETR outperforms all existing object detection models on real world datasets and is the first real-time model to achieve 60+ Average Precision on COCO talked w/ NVIDIA about it at GTC:

Joseph Nelson

18,231 görüntüleme • 1 yıl önce

RF-DETR, the state-of-the-art model series for real-time object detection, can now run 100% locally in your browser on WebGPU with 🤗 Transformers.js v4! The models are Apache-2.0 licensed, making them a perfect fit for both personal and commercial applications. Try the demo 👇
0:42

RF-DETR, the state-of-the-art model series for real-time object detection, can now run 100% locally in your browser on WebGPU with 🤗 Transformers.js v4! The models are Apache-2.0 licensed, making them a perfect fit for both personal and commercial applications. Try the demo 👇

Xenova

77,147 görüntüleme • 5 ay önce

for Basketball AI, I want to read jersey numbers and map them to player names I'm using RF-DETR + SmolVLM2 combo to do it - detect jersey numbers in real-time with RF-DETR - crop number regions - OCR the numbers with SmolVLM2 computer vision + sports:
0:21

for Basketball AI, I want to read jersey numbers and map them to player names I'm using RF-DETR + SmolVLM2 combo to do it - detect jersey numbers in real-time with RF-DETR - crop number regions - OCR the numbers with SmolVLM2 computer vision + sports:

SkalskiP

27,556 görüntüleme • 1 yıl önce

i made a computer vision system to monitor the situation - live webcam feed and roboflow RF-DETR for object detection - inputs are fed into SmolVLM which describes what it sees in one sentence - dataviz with vanilla js all running locally in real-time on my macbook air m2
0:27

i made a computer vision system to monitor the situation - live webcam feed and roboflow RF-DETR for object detection - inputs are fed into SmolVLM which describes what it sees in one sentence - dataviz with vanilla js all running locally in real-time on my macbook air m2

AA

72,539 görüntüleme • 5 ay önce

Introducing DeepSeek R1:1.5b Running Locally in Cursor! In less than 4 minutes, I set up the DeepSeek R1:1.5b model, download it, and run it locally to seamlessly work with code in Cursor The video is shown in real-time, with the model impressively running on an Intel Core i5 😱 using Ollama and the CodeGPT extension 👇
3:45

Introducing DeepSeek R1:1.5b Running Locally in Cursor! In less than 4 minutes, I set up the DeepSeek R1:1.5b model, download it, and run it locally to seamlessly work with code in Cursor The video is shown in real-time, with the model impressively running on an Intel Core i5 😱 using Ollama and the CodeGPT extension 👇

Daniel San

584,100 görüntüleme • 1 yıl önce

i gave a voice to my jarvis system everything running in real-time using open source models - roboflow RF-DETR for object detection - gemma 4 for scene summarization - kokoro text-to-speech - live in the browser using transformers js prompt: "you are a dystopian science fiction narrator in a cyberpunk world. describe the scene in one sentence"
0:24

i gave a voice to my jarvis system everything running in real-time using open source models - roboflow RF-DETR for object detection - gemma 4 for scene summarization - kokoro text-to-speech - live in the browser using transformers js prompt: "you are a dystopian science fiction narrator in a cyberpunk world. describe the scene in one sentence"

AA

28,753 görüntüleme • 4 ay önce

THIS GUY STACKED MAC MINIS TO RUN AI LOCALLY AND IT CODES FOR FREE no API. no subscription. no cloud. what he's running: - EXO across multiple Mac Minis - Qwen 2.5 Coder 7B locally - Zed editor connected to the model - GPU usage visible in real time the math: - Mac Mini M4: $599 one-time - electricity: $3/month - API costs: $0 vs $459/month in subscriptions if you want Claude Code to run at this level ClaudeKit gives it the structure to do that ( full breakdown in the article below
0:55

THIS GUY STACKED MAC MINIS TO RUN AI LOCALLY AND IT CODES FOR FREE no API. no subscription. no cloud. what he's running: - EXO across multiple Mac Minis - Qwen 2.5 Coder 7B locally - Zed editor connected to the model - GPU usage visible in real time the math: - Mac Mini M4: $599 one-time - electricity: $3/month - API costs: $0 vs $459/month in subscriptions if you want Claude Code to run at this level ClaudeKit gives it the structure to do that ( full breakdown in the article below

Madni Aghadi

26,421 görüntüleme • 1 ay önce

Using the new  Foundation Models in iOS 26 to generate React components offline on my iPhone 16 Pro Max 🤯 This video is real time with no cuts or speed-ups
0:55

Using the new  Foundation Models in iOS 26 to generate React components offline on my iPhone 16 Pro Max 🤯 This video is real time with no cuts or speed-ups

Evan Bacon 🥓

82,058 görüntüleme • 1 yıl önce

made a site to run deepseek r1 for free -- locally in your browser, no downloads, no servers purely using WebGPU r1-web is open source, made in america, run on american servers, available below forever
1:21

made a site to run deepseek r1 for free -- locally in your browser, no downloads, no servers purely using WebGPU r1-web is open source, made in america, run on american servers, available below forever

Surya

440,225 görüntüleme • 1 yıl önce

another example: a developer used the exact same $8 ESP32-S3 chip and local AI setup to build a real-time object recognition camera the fact that this is running entirely offline, on an eight-dollar microcontroller, without any cloud API calls, is wild... it captures the video feed, processes it locally through the model, and identifies objects in real-time. we are entering an era where you can just glue intelligence onto any physical object for less than $10. the hardware barrier is completely shattered.
0:39

another example: a developer used the exact same $8 ESP32-S3 chip and local AI setup to build a real-time object recognition camera the fact that this is running entirely offline, on an eight-dollar microcontroller, without any cloud API calls, is wild... it captures the video feed, processes it locally through the model, and identifies objects in real-time. we are entering an era where you can just glue intelligence onto any physical object for less than $10. the hardware barrier is completely shattered.

ard

221,960 görüntüleme • 13 gün önce

Introducing Lemon Slice Live: the first real-time audio-video AI model Anyone can video chat with any character by just uploading a single photo. Every pixel on the screen is rendered at 25fps in real-time by a transformer model. Here’s how we built it + a live demo! 👇
0:23

Introducing Lemon Slice Live: the first real-time audio-video AI model Anyone can video chat with any character by just uploading a single photo. Every pixel on the screen is rendered at 25fps in real-time by a transformer model. Here’s how we built it + a live demo! 👇

LemonSlice

171,007 görüntüleme • 1 yıl önce

Qwen3.5-35B-A3B running locally on an M4 chip at 49.5 tokens per second. A 35B model. On a laptop. In real time. LOCAL AI IS GETTING SCARY FAST.
1:10

Qwen3.5-35B-A3B running locally on an M4 chip at 49.5 tokens per second. A 35B model. On a laptop. In real time. LOCAL AI IS GETTING SCARY FAST.

0xMarioNawfal

478,251 görüntüleme • 5 ay önce

SAM 2 from Meta FAIR is the first unified model for real-time, promptable object segmentation in images & videos. Using the model in our web-based demo you can segment, track and apply effects to objects in video in just a few clicks. Try SAM 2 ➡️
0:40

SAM 2 from Meta FAIR is the first unified model for real-time, promptable object segmentation in images & videos. Using the model in our web-based demo you can segment, track and apply effects to objects in video in just a few clicks. Try SAM 2 ➡️

AI at Meta

88,918 görüntüleme • 2 yıl önce

I just automated the entire process of creating hyperrealistic consistent AI character datasets. Completely free on your own hardware. Everything runs locally using free, open-source models in ComfyUI. FULL TUTORIAL & FREE WORKFLOWS👇
0:54

I just automated the entire process of creating hyperrealistic consistent AI character datasets. Completely free on your own hardware. Everything runs locally using free, open-source models in ComfyUI. FULL TUTORIAL & FREE WORKFLOWS👇

Mickmumpitz

32,115 görüntüleme • 10 ay önce

Meet Jan-nano, a 4B model that outscores DeepSeek-v3-671B using MCP. It's built on Qwen3-4B with DAPO fine-tuning, it handles: - real-time web search - deep research Model + GGUF: To run it locally: - Install Jan Beta: - Download Jan-nano in Jan Hub - Settings -> MCP, enable MCP and add your Serper API key for web tools Full technical report will be published shortly.
0:55

Meet Jan-nano, a 4B model that outscores DeepSeek-v3-671B using MCP. It's built on Qwen3-4B with DAPO fine-tuning, it handles: - real-time web search - deep research Model + GGUF: To run it locally: - Install Jan Beta: - Download Jan-nano in Jan Hub - Settings -> MCP, enable MCP and add your Serper API key for web tools Full technical report will be published shortly.

Menlo Research

56,600 görüntüleme • 1 yıl önce

Running AI locally changes everything however, most people don't realise what they're missing 100% private — your data never leaves your machine Completely free — no subscriptions, no API costs No usage limits — run it as much as you want In this 17 min video, I break down exactly how to run AI models on your own hardware
17:34

Running AI locally changes everything however, most people don't realise what they're missing 100% private — your data never leaves your machine Completely free — no subscriptions, no API costs No usage limits — run it as much as you want In this 17 min video, I break down exactly how to run AI models on your own hardware

David Ondrej

39,967 görüntüleme • 7 ay önce

Florence-2, the new vision foundation model by Microsoft, can now run 100% locally in your browser on WebGPU, thanks to Transformers.js! 🤗🤯 It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW! Demo (+ source code) 👇
1:05

Florence-2, the new vision foundation model by Microsoft, can now run 100% locally in your browser on WebGPU, thanks to Transformers.js! 🤗🤯 It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW! Demo (+ source code) 👇

Xenova

88,762 görüntüleme • 2 yıl önce

MoonRush - trend explore Social Trading App is now available on iOS Built for the trenches: see what’s pumping, buy in one tap, track PnL, get AI risk alerts, and discuss trades in real time. Download on the App Store👇 #socialtrading #socialfi
0:32

MoonRush - trend explore Social Trading App is now available on iOS Built for the trenches: see what’s pumping, buy in one tap, track PnL, get AI risk alerts, and discuss trades in real time. Download on the App Store👇 #socialtrading #socialfi

MoonRush

20,158 görüntüleme • 4 ay önce

Gemma 4 is now available in Android Studio! By running Gemma 4 locally on your machine you get access to AI code-assistance that doesn't require an internet connection or an API key for its core operations — so you’ll never run out of token quota →
0:29

Gemma 4 is now available in Android Studio! By running Gemma 4 locally on your machine you get access to AI code-assistance that doesn't require an internet connection or an API key for its core operations — so you’ll never run out of token quota →

Android Studio

124,158 görüntüleme • 4 ay önce

Generate 5-minute AI talking head videos 💥 With VEED Fabric 1.0 The world’s longest AI talking head model API live on fal Comment “VEED” for access in DMs ⚡️
4:59

Generate 5-minute AI talking head videos 💥 With VEED Fabric 1.0 The world’s longest AI talking head model API live on fal Comment “VEED” for access in DMs ⚡️

VEED | AI Video Creation

19,965 görüntüleme • 5 ay önce