Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

I created a web app for teaching computer vision basics, allowing users to upload an image or video stream and instantly view it as a numerical pixel matrix, with options to display values in RGB, Hex, or Grayscale formats. It features predefined convolution kernels applied in real-time: - Sobel...

mfranz_on's profile picture

Marco Franzon

14,588 subscribers

270,251 Aufrufe • vor 5 Monaten •via X (Twitter)

BildungWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Using a pasta machine to send a photo through creates pixelated, simplified versions of the image. This is a great way to illustrate how Convolutional Neural Networks (CNNs) work. Each pass through the machine represents a layer in a CNN, where images are processed step by step. In CNNs, each layer identifies specific features like edges, textures, or colors. Just as the pasta machine alters the photo with each pass, CNNs refine and simplify the image for better understanding. This step-by-step process allows CNNs to recognize complex images, making them useful in areas like image classification and object detection. It ain’t perfect but it’s a simple presentation.
0:43

Using a pasta machine to send a photo through creates pixelated, simplified versions of the image. This is a great way to illustrate how Convolutional Neural Networks (CNNs) work. Each pass through the machine represents a layer in a CNN, where images are processed step by step. In CNNs, each layer identifies specific features like edges, textures, or colors. Just as the pasta machine alters the photo with each pass, CNNs refine and simplify the image for better understanding. This step-by-step process allows CNNs to recognize complex images, making them useful in areas like image classification and object detection. It ain’t perfect but it’s a simple presentation.

Brian Roemmele

97,202 Aufrufe • vor 1 Jahr

We've added 15 new Computer Vision problems. revise your concepts by coding them out: > max pooling > image rotation > gaussian blur kernel > sobel edge detection > image histogram > 2D convolution > IoU > Non-maximum supression etc
0:24

We've added 15 new Computer Vision problems. revise your concepts by coding them out: > max pooling > image rotation > gaussian blur kernel > sobel edge detection > image histogram > 2D convolution > IoU > Non-maximum supression etc

TensorTonic

35,039 Aufrufe • vor 4 Monaten

SAM 3 is the missing link for vision to be as easy to use as LLMs completely changes how people will build computer vision applications you can start building with it immediately in Roboflow
0:40

SAM 3 is the missing link for vision to be as easy to use as LLMs completely changes how people will build computer vision applications you can start building with it immediately in Roboflow

Roboflow

86,644 Aufrufe • vor 6 Monaten

FeatUp A Model-Agnostic Framework for Features at Any Resolution Deep features are a cornerstone of computer vision research, capturing image semantics and enabling the community to solve downstream tasks even in the zero- or few-shot regime. However, these features
1:04

FeatUp A Model-Agnostic Framework for Features at Any Resolution Deep features are a cornerstone of computer vision research, capturing image semantics and enabling the community to solve downstream tasks even in the zero- or few-shot regime. However, these features

AK

108,545 Aufrufe • vor 2 Jahren

3D Gaussian Splats are cool, but they're static (Part 13). VR-GS makes it possible for users to interact with 3D Gaussian kernels in VR and can generate realistic dynamic responses and illumination in real-time.
0:30

3D Gaussian Splats are cool, but they're static (Part 13). VR-GS makes it possible for users to interact with 3D Gaussian kernels in VR and can generate realistic dynamic responses and illumination in real-time.

Dreaming Tulpa 🥓👑

73,759 Aufrufe • vor 2 Jahren

Implemented a lot of new features to my color palette tool. Gradient mixer, to mix two gradient together to create a palette. I'm excited. Now also supports loading in image and extract colors. Images with indexed colors support. Color analysis with real-time filters.
2:47

Implemented a lot of new features to my color palette tool. Gradient mixer, to mix two gradient together to create a palette. I'm excited. Now also supports loading in image and extract colors. Images with indexed colors support. Color analysis with real-time filters.

Philipp "Soma" Urlich

93,313 Aufrufe • vor 6 Monaten

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:
1:56

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Andrew Ng

170,211 Aufrufe • vor 1 Jahr

Sharing our latest short course: Building and Evaluating Data Agents, created in collaboration with Snowflake and taught by Anupam Datta (Anupam Datta) and Josh Reini (Josh Reini). A data agent extracts data from sources such as files or databases, analyzes it, and provides insights and visualizes its findings. But most data agents struggle with reliability or can't handle multi-step reasoning. In this course, you'll learn to build, trace, and evaluate a multi-agent workflow that plans tasks, pulls context from structured and unstructured data, performs web search, and summarizes or visualizes the final results. Learn more and enroll for free!
3:20

Sharing our latest short course: Building and Evaluating Data Agents, created in collaboration with Snowflake and taught by Anupam Datta (Anupam Datta) and Josh Reini (Josh Reini). A data agent extracts data from sources such as files or databases, analyzes it, and provides insights and visualizes its findings. But most data agents struggle with reliability or can't handle multi-step reasoning. In this course, you'll learn to build, trace, and evaluate a multi-agent workflow that plans tasks, pulls context from structured and unstructured data, performs web search, and summarizes or visualizes the final results. Learn more and enroll for free!

DeepLearning.AI

40,745 Aufrufe • vor 8 Monaten

Tutorial for Nano Banana and annotations. Use a tool like Canva to edit your image with prompts and guidance. Bring this to Freepik or the Gemini app and ask it to follow the instructions. Use AI video tools to bring to life!
0:44

Tutorial for Nano Banana and annotations. Use a tool like Canva to edit your image with prompts and guidance. Bring this to Freepik or the Gemini app and ask it to follow the instructions. Use AI video tools to bring to life!

Jerrod Lew

41,283 Aufrufe • vor 9 Monaten

AudioLink Plugin for Warudo is now available! You can grab it in my Vgen store. Should just work for most cases! As long as the character or environment are setup to use AudioLink. Same process and system as VRChat! Works in both the free and paid versions of Warudo. To help this post in the algorithm please let me know any features you'd like added or any questions you have in the comments below! Looking forward to seeing how people use it!
0:47

AudioLink Plugin for Warudo is now available! You can grab it in my Vgen store. Should just work for most cases! As long as the character or environment are setup to use AudioLink. Same process and system as VRChat! Works in both the free and paid versions of Warudo. To help this post in the algorithm please let me know any features you'd like added or any questions you have in the comments below! Looking forward to seeing how people use it!

Bamfy Jifu - 3D Artist

39,772 Aufrufe • vor 4 Monaten

OpenAI just released the number 1 AI opportunity of 2025 The ChatGPT App Store was just announced, and you need to be building for it immediately In this video I cover how their new app store works, and walk you step by step how to build an app for it (no coding exp required):
12:32

OpenAI just released the number 1 AI opportunity of 2025 The ChatGPT App Store was just announced, and you need to be building for it immediately In this video I cover how their new app store works, and walk you step by step how to build an app for it (no coding exp required):

Alex Finn

123,844 Aufrufe • vor 8 Monaten

Jensen Huang says, In the future, we will be able to talk to a protein We'll ask it: "what are you? are you soluble? how do you react to heat or chemicals?" This is how AI can talk to an image today, and how we've moved from only processing data to actually understanding it
0:57

Jensen Huang says, In the future, we will be able to talk to a protein We'll ask it: "what are you? are you soluble? how do you react to heat or chemicals?" This is how AI can talk to an image today, and how we've moved from only processing data to actually understanding it

Haider.

149,612 Aufrufe • vor 7 Monaten

Learn how to use coding agents in 30 minutes! This course teaches you how to build software with agents: plan new features, fix bugs, review and test code, and more. It's 100% free and these concepts apply to any agent!
31:42

Learn how to use coding agents in 30 minutes! This course teaches you how to build software with agents: plan new features, fix bugs, review and test code, and more. It's 100% free and these concepts apply to any agent!

Lee Robinson

298,452 Aufrufe • vor 2 Monaten

On weekends I like to work on experimental or fun features to avoid burnout. This time I decided to implement machine guns as usable weapons and update some equipment stats. I also thought it would be fun to share this with you. During this weekend, the LMG and a heavy armoured set will be unlocked for testing in the public build.
0:50

On weekends I like to work on experimental or fun features to avoid burnout. This time I decided to implement machine guns as usable weapons and update some equipment stats. I also thought it would be fun to share this with you. During this weekend, the LMG and a heavy armoured set will be unlocked for testing in the public build.

Trench Tales

89,178 Aufrufe • vor 9 Monaten

🚨 VWP SANDBOX now LIVE on View live VWP data from all NOAA radar sites + terminal sites. Explore them in 3D or 2D to understand more about how hodographs and dynamics work! Toggle on dark mode or light mode for your viewing pleasure, as well as download the geojson file of the VWP to save and come back to it later by loading it back in to the system! This works a lot better on computer but I tried my best at getting mobile at least somewhat usable. For more, go to the "How To Use" section.
0:52

🚨 VWP SANDBOX now LIVE on View live VWP data from all NOAA radar sites + terminal sites. Explore them in 3D or 2D to understand more about how hodographs and dynamics work! Toggle on dark mode or light mode for your viewing pleasure, as well as download the geojson file of the VWP to save and come back to it later by loading it back in to the system! This works a lot better on computer but I tried my best at getting mobile at least somewhat usable. For more, go to the "How To Use" section.

James Pettus

29,983 Aufrufe • vor 10 Monaten

Got a Pudgy or Lil Pudgy, Neighbors? 🐧 It's time to claim it! For all Pudgy holders, we've created this step-by-step guide of how to get it into the game and hatch it. 🌸 See you in-game! 👉 Play now:
1:55

Got a Pudgy or Lil Pudgy, Neighbors? 🐧 It's time to claim it! For all Pudgy holders, we've created this step-by-step guide of how to get it into the game and hatch it. 🌸 See you in-game! 👉 Play now:

Alice

11,045 Aufrufe • vor 11 Monaten

New Short Course: Building AI Browser Agents! Learn how to build AI agents that interact and take actions on websites in this course, created in partnership with and taught by and @namangarg0, Co-founders of AGI Inc. AI browser agents can log into websites, fill out forms, click through web pages, or even place orders online for you. They use both visual information, like screenshots, and structural data, like the HTML or Document Object Model (DOM) of a web page, to reason and take action. With the complexity of webpages and multiple possible actions at each step, it can be challenging for an AI browser agent to complete an assigned task. Because these agents run long action sequences, a single error—like clicking the wrong button or misreading a field—can lead to unexpected outcomes or errors that compound over time. In this course, you'll understand how autonomous web agents work, their current limitations, and how AgentQ enables them to improve through self-correction. In detail, you'll: - Learn what web agents are, how they automate tasks online, their architecture, key components, limitations, and an overview of their decision-making strategies. - Build a web agent that can scrape website and return course recommendations in a structured output format. - Build an autonomous web agent that can execute multiple tasks, such as finding and summarizing webpages, filling out a form, and signing up for a newsletter. - Explore AgentQ, a framework that enables agents to self-correct by combining Monte Carlo Tree Search (MCTS), a self-critique mechanism for continuous improvement, and Direct Preference Optimization (DPO). - Deep dive into MCTS, learn how it finds an effective path, illustrated by an example of Gridworld animation, and use AgentQ to complete web tasks. - Understand AI agents' current state and future directions—including key factors shaping their evolution, such as hardware, algorithm innovation, and data availability. By the end of this course, you will have hands-on experience building browser agents and a deeper understanding of how to make them more robust and reliable. Please sign up here:
2:06

New Short Course: Building AI Browser Agents! Learn how to build AI agents that interact and take actions on websites in this course, created in partnership with and taught by and @namangarg0, Co-founders of AGI Inc. AI browser agents can log into websites, fill out forms, click through web pages, or even place orders online for you. They use both visual information, like screenshots, and structural data, like the HTML or Document Object Model (DOM) of a web page, to reason and take action. With the complexity of webpages and multiple possible actions at each step, it can be challenging for an AI browser agent to complete an assigned task. Because these agents run long action sequences, a single error—like clicking the wrong button or misreading a field—can lead to unexpected outcomes or errors that compound over time. In this course, you'll understand how autonomous web agents work, their current limitations, and how AgentQ enables them to improve through self-correction. In detail, you'll: - Learn what web agents are, how they automate tasks online, their architecture, key components, limitations, and an overview of their decision-making strategies. - Build a web agent that can scrape website and return course recommendations in a structured output format. - Build an autonomous web agent that can execute multiple tasks, such as finding and summarizing webpages, filling out a form, and signing up for a newsletter. - Explore AgentQ, a framework that enables agents to self-correct by combining Monte Carlo Tree Search (MCTS), a self-critique mechanism for continuous improvement, and Direct Preference Optimization (DPO). - Deep dive into MCTS, learn how it finds an effective path, illustrated by an example of Gridworld animation, and use AgentQ to complete web tasks. - Understand AI agents' current state and future directions—including key factors shaping their evolution, such as hardware, algorithm innovation, and data availability. By the end of this course, you will have hands-on experience building browser agents and a deeper understanding of how to make them more robust and reliable. Please sign up here:

Andrew Ng

185,870 Aufrufe • vor 1 Jahr

With Antigravity, you collaborate with your agent using Google Docs-style commenting. Highlight specific sections of your app or data tables to provide contextual feedback and refine features in real time. Learn how to collaborate with Artifacts, here →
2:30

With Antigravity, you collaborate with your agent using Google Docs-style commenting. Highlight specific sections of your app or data tables to provide contextual feedback and refine features in real time. Learn how to collaborate with Artifacts, here →

Google Cloud Tech

52,146 Aufrufe • vor 3 Monaten

Excited to share a Google DeepMind Gemini 2.0 Flash Image Generation and Editing Quickstart. We build a Next.js reference app on how to use the new image editing feature of Gemini 2.0 Flash. Demo to test ⬇️ > Generate images from text prompts using Gemini 2.0 Flash > Or upload an image and edit it using prompts
0:48

Excited to share a Google DeepMind Gemini 2.0 Flash Image Generation and Editing Quickstart. We build a Next.js reference app on how to use the new image editing feature of Gemini 2.0 Flash. Demo to test ⬇️ > Generate images from text prompts using Gemini 2.0 Flash > Or upload an image and edit it using prompts

Philipp Schmid

52,406 Aufrufe • vor 1 Jahr

Higgsfield Mod for Minecraft is live. > prompt any building or city, even the Statue of Liberty > create paintings with text-to-image > snap a view and restyle it with image-to-image > make videos from a prompt with text-to-video. > animate in-game photos with image-to-video
0:34

Higgsfield Mod for Minecraft is live. > prompt any building or city, even the Statue of Liberty > create paintings with text-to-image > snap a view and restyle it with image-to-image > make videos from a prompt with text-to-video. > animate in-game photos with image-to-video

Higgsfield AI 🧩

445,157 Aufrufe • vor 9 Tagen