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deep learning for image processing including classification and object-detection etc.
YOLOv5检测界面-PyQt5实现
集yolov5、centernet、unet算法的pyqt5界面,可实现图片目标检测和语义分割
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
利用realsense深度相机实现yolov5目标检测的同时测出距离
Code for ECML PKDD 2022 paper. No More Strided Convolutions or Pooling: A Novel CNN Architecture for Low-Resolution Images and Small Objects.
这是一个基于YOLOv5🚀的道路标志识别系统😊,使用了MySQL数据库💽,PyQt5进行界面设计🎨,PyTorch深度学习框架和TensorRT进行加速⚡,同时包含了CSS样式🌈。系统由五个主要模块组成:系统登录模块🔑负责用户登陆;初始化参数模块📋提供YOLOv5模型的初始化参数设置;标志识别模块🔍是系统的核心,负责对道路标志进行识别并将结果导入数据库;数据库模块💾包含基本数据库操作和数据分析两个子模块;图像处理模块🖼️负责单个图像的处理和数据增强。整个系统支持多种数据输入和模型切换,提供了包括mossic和mixup在内的图像增强方法📈。
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
🎉Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5). 🎉YOLOv5算法(ver.6及ver.5)的Qt-GUI实现
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
可以训练yolov5(v6.0)、yolox、小型网络,添加注意力机制
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