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E112: Is Davos a grift? Plus: globalist mishaps, debt ceilings, TikTok's endgame & more
(0:00) Bestie intro, who gets credit for the podcast? (6:27) Top candidates for the Republican nominee in 2024: DeSantis, Youngkin, Haley; major 2024 issues, balancing the budget (19:13) WEF in Davos: is it a grift? Somber mood, globalist mishaps, evaluating the US free trade policy (39:51) Rebuilding infrastructure while avoiding the debt ceiling, immigration reform (1:00:42) TikTok's endgame in the US: banned, spun out, or something else? (1:17:22) Pharma meets AI, best AI business models Follow the besties: https://twitter.com/chamath https://linktr.ee/calacanis https://twitter.com/DavidSacks https://twitter.com/friedberg Follow the pod: https://twitter.com/theallinpod https://linktr.ee/allinpodcast Intro Music Credit: https://rb.gy/tppkzl https://twitter.com/yung_spielburg Intro Video Credit: https://twitter.com/TheZachEffect Referenced in the show: https://twitter.com/RitchieTorres/status/1616124738752987152 https://twitter.com/TalbertSwan/status/1616101666582892547 https://www.wsj.com/articles/at-davos-mood-is-somber-as-many-ceos-question-economys-future-11673952415 https://www.washingtonpost.com/world/2023/01/17/davos-globalization-wef-economic-seige https://twitter.com/ShellenbergerMD/status/1614782758328598528 https://www.facebook.com/worldeconomicforum/videos/8-predictions-for-the-world-in-2030/10153920524981479 https://www.weforum.org/agenda/2022/02/how-insects-positively-impact-climate-change https://www.zerohedge.com/geopolitical/dark-side-davos-revealed-global-elite-bookings-sex-workers-soar https://archive.wphna.org/wp-content/uploads/2013/12/04-03_The_National_Interest._Samuel_Huntington_Davos_Man.pdf https://www.nytimes.com/2023/01/15/business/auburn-tiktok-ban-students.html https://www.theinformation.com/articles/vc-s-8-billion-bytedance-headache?rc=g3wfdp https://www.wsj.com/articles/tiktok-tries-to-win-allies-in-the-u-s-with-more-transparency-11673836560 https://www.nytimes.com/2022/12/22/technology/byte-dance-tik-tok-internal-investigation.html https://www.ft.com/content/6670acad-8a5b-4c4a-b6a8-48dc307b6d4d https://www.hellopearl.com https://roboflow.com https://www.reuters.com/business/retail-consumer/brazils-americanas-shares-plunge-pre-market-accounting-inconsistencies-2023-01-12 https://www.wsj.com/articles/alec-baldwin-shooting-charges-involuntary-manslaughter-rust-movie-11674081157 #allin #tech #news
Football AI Tutorial: From Basics to Advanced Stats with Python
Let's build a Football AI system to dig deeper into match stats! We'll use computer vision and machine learning to track players, determine which team is which, and even calculate stuff like ball possession and speed. This tutorial is perfect if you want to get hands-on with sports analytics and see how AI can take your football analysis to the next level. Chapters: - 00:00:00 Football (Soccer) AI: The Next Level - 00:00:58 Architectural Blueprint: Models & Tools for Football AI - 00:03:14 YOLOv8 Fine-Tuning: Optimizing for Football Object Detection - 00:12:22 Deploying YOLOv8 with Inference - 00:27:37 ByteTrack: Robust Multi-Object Tracking - 00:29:38 Embedding Analysis: Clustering Players with SigLIP & UMAP - 00:51:46 Perspective Transformation: Homography Fundamentals - 00:53:03 YOLOv8x-pose Training: Precise Pitch Landmark Detection - 01:01:24 Keypoint Inference: Real-Time Pitch Understanding - 01:06:27 Homography Application: Virtual Lines & Field Overlay - 01:13:23 Top-Down Projection: Creating a Tactical Radar View - 01:22:04 Spatial Analysis: Ball Territory - 01:26:34 Implementation Challenges - 01:28:29 Beyond the Basics: What Else is Possible? Resources: - Roboflow: https://roboflow.com 🔴 Community Session Aug 29th, 2024 at 08:00 AM PST / 11:00 AM EST / 05:00 PM CET: https://www.youtube.com/watch?v=Xwou5qO--vY - ⚽ Roboflow Sports repository: https://github.com/roboflow/sports - 🏞️ ball, players, and referees detection dataset: https://universe.roboflow.com/roboflow-jvuqo/football-players-detection-3zvbc - 🏞️ pitch keypoints detection dataset: https://universe.roboflow.com/roboflow-jvuqo/football-field-detection-f07vi - 📓 ball, players, and referees detection model training notebook: https://colab.research.google.com/github/roboflow/sports/blob/main/examples/soccer/notebooks/train_player_detector.ipynb - 📓 pitch keypoints detection model training notebook: https://colab.research.google.com/github/roboflow/sports/blob/main/examples/soccer/notebooks/train_pitch_keypoint_detector.ipynb - 📓 football AI notebook: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/football-ai.ipynb - ⚽ Ball Tracking in Sports with Computer Vision blog post: https://blog.roboflow.com/tracking-ball-sports-computer-vision/ - ⚽ Camera Calibration in Sports with Keypoints blog post: https://blog.roboflow.com/camera-calibration-sports-computer-vision/ Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐
YOLOv8 Object Counting in Real-time with Webcam, OpenCV and Supervision
Curious about how to build an application capable of detecting objects on a camera stream in real time? You are in the right place! Together we will learn how to access the webcam using OpenCV, detect objects with YOLOv8, and count them with Supervision. Chapters: 0:00 Introduction 0:38 Webcam inference with YOLOv8 CLI 02:12 Accessing webcam with OpenCV 07:05 Webcam inference with YOLOv8 SDK 08:25 Drawing bounding boxes 10:05 Using polygon zones to count detections 14:28 Eliminating double detections with agnostic NMS 16:07 Few extra tricks 18:59 Conclusion Resources: 🌏 Roboflow: https://roboflow.com 🌌 Roboflow Universe: https://universe.roboflow.com 📷 Demo repository: https://github.com/SkalskiP/yolov8-live 🤩 Supervision documentation: https://roboflow.github.io/supervision ⭐ Supervision repository: https://github.com/roboflow/supervision Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐
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