We turned the #PaddleOCR example into a Hugging Face Space! Just drag in your images and PDFs to experiment with OCR visualized with Rerun. PP-Structure is an intelligent document analysis system developed by the PaddleOCR team. It helps developers better complete tasks related to document understanding, such as text recognition, layout analysis, and table recognition. The Space is built using the custom rerun-gradio component by Radamés Ajna 💐 Happy Midsommar to all of you! 💐 Check it out (link in the comments)👇
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Interesting image processing code in Matlab
Design your own invisibility cloak 💫 Check out this blog that illustrates the process of implementing an illusion of an invisibility cloak using a simple image processing technique of color-based thresholding 👉 http://spr.ly/6040POXao #ImageProcessing #ComputerVision #MATLAB
Get Invisible
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FLOW-3D POST 2023R2 brings new visualization capabilities to your postprocessing toolbox. Smooth arbitrary clips and slices, Surface LIC, and animated streamlines will bring your analysis and results to the next level. Learn more about what’s new in FLOW-3D POST at https://lnkd.in/gnZ94A6V #flow3d #cfd #postprocessing
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Image blending object detection + Image masking Ultralytics...
Computer Vision Engineer @Ultralytics | Solving Real-World Challenges🔎| Python | Published Research | Open Source Contributor | GitHub 🌟 | Daily Computer Vision LinkedIn Content 🚀 | Technical Writer VisionAI @Medium📝
Image blending: Object detection + image masking Ultralytics ❤️🔥 Do you guys, remember the concept I was sharing in last week's video comments? 👇 It's a concept where objects detected in an image are combined with image masking to create a blended visual output. This method typically involves: ✅ Object Detection: Utilize algorithms like YOLOv8 to identify and locate objects in images. ✅ Image Masking: Apply masks to detected objects to modify or highlight them. ✅ Blending: Merge masked objects into the original or another image, adjusting transparency and edges for a seamless effect. The code is provided in the comments 👇 I am looking forward to seeing your demos of image blending 😍 #computervision #imageblending #objectdetection #masks #researchanddevelopment
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Spline now supports 3D Gaussian Splatting! So it gave me the idea to make some 3D interactive team cards. Here's something i made quickly using Spline's community file and Framer Preview: https://lnkd.in/gv5iBBDf #3D #gaussiansplatting #webdesign
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Computer Vision Engineer @Ultralytics | Solving Real-World Challenges🔎| Python | Published Research | Open Source Contributor | GitHub 🌟 | Daily Computer Vision LinkedIn Content 🚀 | Technical Writer VisionAI @Medium📝
Image blending: Object detection + image masking Ultralytics ❤️🔥 Do you guys, remember the concept I was sharing in last week's video comments? 👇 It's a concept where objects detected in an image are combined with image masking to create a blended visual output. This method typically involves: ✅ Object Detection: Utilize algorithms like YOLOv8 to identify and locate objects in images. ✅ Image Masking: Apply masks to detected objects to modify or highlight them. ✅ Blending: Merge masked objects into the original or another image, adjusting transparency and edges for a seamless effect. The code is provided in the comments 👇 I am looking forward to seeing your demos of image blending 😍 #computervision #imageblending #objectdetection #masks #researchanddevelopment
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Machine Learning Engineer (Nedgia)|Azure Data Scientist|Power Engineer|Mathematician|MS Big Data in Sports
This interactive visualization of LLMs and transformers is awesome ! In some way, it also provides us insights because matrix algebra is needed 😅 to build them. https://bbycroft.net/llm
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DUSt3R (https://lnkd.in/epJNnQsc) meets Gaussian Splatting on Github. This ain't no an April's fool joke. But sorry, there's no code and the license is noncommercial. InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds In this work, we integrate the strengths of point-based representations (e.g., 3D Gaussian Splatting, 3D-GS) with end-to-end dense stereo models (DUSt3R) to tackle the complex yet unresolved issues in NVS under unconstrained settings, which encompasses pose-free & sparse view challenges. Our framework, InstantSplat, unifies dense stereo priors with 3D-GS to build 3D Gaussians of large-scale scenes from sparse-view & pose-free images in less than 1 minute. project: https://lnkd.in/eDv9fHzH arxiv: https://lnkd.in/ee76xd-3 dust3r project: https://lnkd.in/e_W-DNXf dust3r arxiv: https://lnkd.in/eAeTHxun
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🚀 Days 41-43 of #100DaysOfCode 🚀 Focused on 2D array operations: - Calculated the sum of elements in a 2D array. - Computed the difference between two 2D arrays. - Implemented multiplication of two arrays. Continuing to sharpen 2D array manipulation skills! 💻🔢 #CodingProgress #ArrayOperations
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https://huggingface.co/spaces/rerun/PaddleOCR