Computer Vision Bootcamp with Python: YOLO, SAM & RF-DETR

所在平台: Udemy

课程主页: https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/

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课程简介

课程名称:计算机视觉引导营:使用Python进行YOLO、SAM和RF-DETR 课程概述:欢迎参加本课程。该课程全面覆盖了YOLO-NAS、Segment Anything Model和ChatGPT,提供实践项目、实际应用及使用Flask和Streamlit进行的网页应用开发,同时包含16个以上的真实项目。本课程内容涵盖了目标检测、跟踪以及流行框架(如Flask和Streamlit)的网页应用开发。此外,课程还包括使用YOLO-NAS和Segment Anything Model进行图像分割。我们还将深入探讨Streamlit应用的开发,结合YOLO-NAS和ChatGPT的强大功能。 课程内容: - YOLO-NAS:目标检测的新基础模型 - YOLO-NAS的最新动态 - YOLO-NAS是否是目标检测的未来? - 在Windows上实现YOLO-NAS - 使用YOLO-NAS进行图像和视频的目标检测 - 通过实时摄像头输入进行YOLO-NAS目标检测 - 在Google Colab中运行YOLO-NAS - YOLO-NAS与DeepSORT跟踪的结合 - 在自定义数据集上使用YOLO-NAS和DeepSORT进行目标跟踪 - 使用YOLO-NAS和SORT进行车辆计数(进出) - 构建计算机视觉网页应用及用户界面的重要性 - Streamlit与YOLO-NAS的集成 - 在Streamlit中使用YOLO-NAS进行图像和视频处理 - 部署你的Streamlit网页应用 - 开发基于YOLO-NAS的车辆进出计数的Streamlit应用 - 使用YOLO-NAS进行空架检测 - 使用YOLO-NAS进行车牌检测 - 使用YOLO-NAS和EasyOCR进行自动车牌识别 - 使用YOLO-NAS和PaddleOCR进行自动车牌识别 - YOLO-NAS多摄像头车牌识别应用 - 使用YOLO-NAS进行人脸检测和模糊处理 - 使用YOLO-NAS进行人脸检测和性别分类 - 使用YOLO-NAS生成车辆强度热图 - 将YOLO-NAS与Flask集成,创建网页应用 - 劳动防护装备(PPE)检测的网页应用 - 基于YOLO-NAS和SORT的车辆计数网页应用 - Streamlit应用与YOLO-NAS和ChatGPT的结合 - 使用Python和Streamlit创建ChatGPT文章生成器 - 使用YOLO-NAS进行蔬菜检测 - 创建基于YOLO-NAS和ChatGPT的菜谱生成Streamlit应用 - Segment Anything Model简介 - YOLO-NAS与SAM的结合:基于YOLO-NAS和Segment Anything Model的图像分割 该课程为对计算机视觉及相关应用感兴趣的学习者提供了丰富的知识和实践机会。

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课程详情

Welcome to the Course. This comprehensive course covers YOLO-NAS, Segment Anything Model, and ChatGPT, providing hands-on projects, practical applications, and web app development using Flask and Streamlit with Real World 16+ projects. The course covers Object Detection, Tracking & Web Apps Development using popular frameworks like Flask and Streamlit. The course also includes Image Segmentation using YOLO-NAS and the Segment Anything Model. But that's not all! We go even further by delving into Streamlit Apps Development, combining the prowess of YOLO-NAS and ChatGPT.What will you learn in this course:YOLO-NAS: A New Foundation Model for Object DetectionWhat's New in YOLO-NAS Is YOLO-NAS the Future of Object Detection?YOLO-NAS Implementation WindowsObject Detection with YOLO-NAS on ImagesObject Detection with YOLO-NAS on VideosObject Detection with YOLO-NAS on Live Webcam FeedRun YOLO-NAS in Google ColabYOLO-NAS + DeepSORT TrackingYOLO-NAS + DeepSORT Tracking on Custom DatasetYOLO-NAS with SORT Object TrackingVehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object TrackingBuilding a Computer Vision Web App & Why UI is importantStreamlit with YOLO-NAS IntegrationStreamlit YOLO-NAS on ImagesStreamlit YOLO-NAS on VideosDeploy Your Streamlit Web ApplicationStreamlit App to Count the Vehicles Entering and LeavingEmpty Shelf Detection using YOLO-NASLicense Plate Detection using YOLO-NASAutomatic Number Plate Recognition using YOLO-NAS and EasyOCRAutomatic Number Plate Recognition using YOLO-NAS and PaddleOCRYOLO-NAS Multi-Cam Number Plate Recognition AppFace Detection using YOLO-NASFace Blurring using YOLO-NASFace Detection and Gender Classification using YOLO-NASVehicle Intensity Heatmaps YOLO-NASIntegrating YOLO-NAS with Flask and Creating a WebAppPersonal Protective Equipment (PPE) Detection with YOLO-NASWeb App- Personal Protective Equipment (PPE) DetectionWeb App- Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object TrackingStreamlit Apps with YOLO-NAS and ChatGPTCreate ChatGPT Article Generator with Python and StreamlitVegetables Detection with YOLO-NASCreate a Streamlit app using YOLO-NAS and ChatGPT to generate recipesSegment Anything Model IntroductionYOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model

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