Statistics for topic yolov5
RepositoryStats tracks 637,674 Github repositories, of these 270 are tagged with the yolov5 topic. The most common primary language for repositories using this topic is Python (156). Other languages include: C++ (47), Jupyter Notebook (37)
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《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge...
yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end ...
yolo master 本课程主要对yolo系列模型进行介绍，包括各版本模型的结构，进行的改进等，旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络，以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。
Multispectral Object Detection with Yolov5 and Transformer
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge...
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
yolo master 本课程主要对yolo系列模型进行介绍，包括各版本模型的结构，进行的改进等，旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络，以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。
Multispectral Object Detection with Yolov5 and Transformer
rknn-3588部署yolov5，利用线程池实现npu推理加速；Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge...
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
yolo master 本课程主要对yolo系列模型进行介绍，包括各版本模型的结构，进行的改进等，旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络，以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。
Food calorie estimations Using Deep Learning And Computer Vision
A collection of some awesome public object detection and recognition datasets.
Fast Real-time Object Detection with High-Res Output https://x.com/_akhaliq/status/1840213012818329826 https://x.com/githubprojects/status/1891370506537910724 https://www.threads.net/@githubprojects/p...
SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as us...
yolo master 本课程主要对yolo系列模型进行介绍，包括各版本模型的结构，进行的改进等，旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络，以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。
rknn-3588部署yolov5，利用线程池实现npu推理加速；Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge...
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
Fast Real-time Object Detection with High-Res Output https://x.com/_akhaliq/status/1840213012818329826 https://x.com/githubprojects/status/1891370506537910724 https://www.threads.net/@githubprojects/p...
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
This project involves making custom datasets for the YOLO series and model training methods for YOLO.
Food calorie estimations Using Deep Learning And Computer Vision