Loading video...

Video Failed to Load

Go Home

Object Detection + Slitscan approach on Shibuya Live Cam #openFrameworks

ayumu_naga's profile picture

Ayumu Nagamatsu

5,662 subscribers

47,089 views • 1 year ago •via X (Twitter)

EducationArtsScience & Technology#openFrameworks
LIVE

Anya Rossi• Live Now

Private livecam show

8 Comments

treek's profile picture
treek1 year ago

@andreasgysin This got me like

eckmayr.eth /.tez's profile picture
eckmayr.eth /.tez1 year ago

@andreasgysin Love it. Reminds me of my slit scan works long ago.

Lolo Armdz's profile picture
Lolo Armdz1 year ago

hermosa visualización

Ayumu Nagamatsu's profile picture
Ayumu Nagamatsu1 year ago

gracias🖖

Baku⌇麦's profile picture
Baku⌇麦1 year ago

おおー！！　ボクセルから金太郎飴を抽出できるんですね…

Ayumu Nagamatsu's profile picture
Ayumu Nagamatsu1 year ago

物体検出で得られた矩形を時間方向につなげるという脳筋スタイルです✌

Mark Soares's profile picture
Mark Soares1 year ago

This is one of the most insane things i've ever seen. It looks like a cube from the tesseract in the Interstellar movie

Alexandre Rangel's profile picture
Alexandre Rangel1 year ago

😍

Related Videos

data labeling is dead. long live distillation. from data to object detection endpoint in 90 seconds. link:
1:23

data labeling is dead. long live distillation. from data to object detection endpoint in 90 seconds. link:

SkalskiP

136,190 views • 8 months ago

Looks like Tesla is testing blind spot object detection on Cybercab. $TSLA
1:04

Looks like Tesla is testing blind spot object detection on Cybercab. $TSLA

sladoc

105,585 views • 1 month ago

This would have been impossible a year ago. Last week we built a new approach to object detection for Sidequest.xyz: generative spatial understanding. Demo & explanation👇
0:48

This would have been impossible a year ago. Last week we built a new approach to object detection for Sidequest.xyz: generative spatial understanding. Demo & explanation👇

conway

40,473 views • 1 year ago

BREAKING: The future of object detection is here! Meet YOLO-NAS, open-sourced YOLO-based architecture redefining state-of-the-art in object detection.
1:07

BREAKING: The future of object detection is here! Meet YOLO-NAS, open-sourced YOLO-based architecture redefining state-of-the-art in object detection.

Shubham Saboo

726,480 views • 3 years ago

5️⃣ object detection and image segmentation use cases with Ultralytics 🎉 ✅ Tomato detection ✅ Teeth segmentation ✅ Pill detection ✅ Cabbage detection ✅ Fire detection 💡All models were trained on the custom dataset using Ultralytics YOLO11. #ml #research #usecases #ai
0:27

5️⃣ object detection and image segmentation use cases with Ultralytics 🎉 ✅ Tomato detection ✅ Teeth segmentation ✅ Pill detection ✅ Cabbage detection ✅ Fire detection 💡All models were trained on the custom dataset using Ultralytics YOLO11. #ml #research #usecases #ai

Muhammad Rizwan Munawar

12,501 views • 1 year ago

⚡️Did you know YOLOv8 is an anchor-free object detection model, and YOLOv5 is an anchor-based object detection model? We conduct an in-depth comparison between them and carry out inference for detection and segmentation. #yolo #yolov8 #yolov5 #ai
0:23

⚡️Did you know YOLOv8 is an anchor-free object detection model, and YOLOv5 is an anchor-based object detection model? We conduct an in-depth comparison between them and carry out inference for detection and segmentation. #yolo #yolov8 #yolov5 #ai

Satya Mallick

84,454 views • 3 years ago

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 views • 1 year ago

Live cam footage shows a person poured flammable liquid onto the street in the middle of Tokyo's Shibuya scramble crossing, lit it on fire, and ran off. They also placed a flat object in the middle of what was apparently meant to be a circle of fire. Was it a message?
2:42

Live cam footage shows a person poured flammable liquid onto the street in the middle of Tokyo's Shibuya scramble crossing, lit it on fire, and ran off. They also placed a flat object in the middle of what was apparently meant to be a circle of fire. Was it a message?

Jeffrey J. Hall 🇯🇵🇺🇸

1,508,723 views • 4 months ago

live footage of the shibuya incident on roblox
0:28

live footage of the shibuya incident on roblox

Omar 🇦🇪

513,691 views • 2 years ago

still blowing my mind how good object detection got in the last release
0:28

still blowing my mind how good object detection got in the last release

vik

31,229 views • 1 year ago

today we are teaching a machine to exploit object detection models using swarm drones + reinforcement learning after only 5,000 steps on my Mac Air M3, the policy brought down detection from 90% to 32%, allowing 20+ drones to fly undetected
0:23

today we are teaching a machine to exploit object detection models using swarm drones + reinforcement learning after only 5,000 steps on my Mac Air M3, the policy brought down detection from 90% to 32%, allowing 20+ drones to fly undetected

chester

180,750 views • 1 year ago

Pothole detection with Ultralytics YOLOv8 means efficient road maintenance. Real-time object detection allows for quick, precise identification, leading to immediate repairs and enhanced road safety. 🔗Learn more ➡️ #AI #YOLOv8
0:20

Pothole detection with Ultralytics YOLOv8 means efficient road maintenance. Real-time object detection allows for quick, precise identification, leading to immediate repairs and enhanced road safety. 🔗Learn more ➡️ #AI #YOLOv8

Ultralytics

47,981 views • 2 years ago

Updated my HF Space for vibe testing smol VLMs on object detection, visual grounding, keypoint detection & counting! 👓 🆕Compare Qwen2.5 VL 3B vs Moondream 2B side-by-side with annotated images & text outputs. Try examples or test your own images! 🏃👇
0:45

Updated my HF Space for vibe testing smol VLMs on object detection, visual grounding, keypoint detection & counting! 👓 🆕Compare Qwen2.5 VL 3B vs Moondream 2B side-by-side with annotated images & text outputs. Try examples or test your own images! 🏃👇

Sergio Paniego

15,717 views • 1 year ago

NASA abruptly cut the live feed after a mysterious object appeared on camera
1:10

NASA abruptly cut the live feed after a mysterious object appeared on camera

Surajit

331,295 views • 8 months ago

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

72,555 views • 5 months ago

AI for drones part 2 Imagine anyone can have this running on a hobby drone 🤯 Object detection and Image recognition has come a long way in a short period of time.
2:39

AI for drones part 2 Imagine anyone can have this running on a hobby drone 🤯 Object detection and Image recognition has come a long way in a short period of time.

Linus ✦ Ekenstam

226,409 views • 3 years ago

New Moondream 2B release! ✨ New features: - Long-form captioning - Open vocab tagging - Better counting, object detection, text understanding - Faster HF transformers inference
0:26

New Moondream 2B release! ✨ New features: - Long-form captioning - Open vocab tagging - Better counting, object detection, text understanding - Faster HF transformers inference

vik

51,978 views • 1 year ago

🧃 UFO captured on NJ live cam
0:45

🧃 UFO captured on NJ live cam

💭 think tank

225,513 views • 1 year ago

🪐 The interstellar object 3I/ATLAS WILL NOT collide with Earth. On December 19, it will only reach its closest approach, at about 268 million km… #3IATLAS
0:32

🪐 The interstellar object 3I/ATLAS WILL NOT collide with Earth. On December 19, it will only reach its closest approach, at about 268 million km… #3IATLAS

Tansu Yegen

854,277 views • 9 months ago