DataXujing / Pytorch_YOLO-v4
Pytorch YOLO v4 训练自己的数据集超详细教程!!! (提供PDF训练教程下载)
☆31Updated 4 years ago
Alternatives and similar repositories for Pytorch_YOLO-v4:
Users that are interested in Pytorch_YOLO-v4 are comparing it to the libraries listed below
- Learning YOLOv3 from scratch 从零开始学习YOLOv3代码☆214Updated 3 years ago
- Pytorch复现YOLOv3,使用最新的DIOU loss训练☆70Updated 4 years ago
- Prepare VOC format datasets for ultralytics/yolov3 & yolov5☆197Updated 2 years ago
- ☆78Updated 3 years ago
- Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练自己的数据☆218Updated 2 years ago
- Tips on how to find suitable object detection anchors☆146Updated 4 years ago
- 布匹缺陷识别练习赛☆45Updated 4 years ago
- yolov5 v1版本中文注释☆58Updated 4 years ago
- ☆92Updated 3 years ago
- Simple implementation of augmentation for small object detection☆219Updated 4 years ago
- 基于NanoDet项目进行小裁剪,专门用来实现PyTorch 版本的代码,下载直接能使用,支持图片、视频文件、摄像头实时目标检测。☆150Updated 4 years ago
- ☆224Updated 5 years ago
- 最简单的VOC转COCO, 一条指令完整转换☆84Updated 5 years ago
- ppyolo in pytorch. 44.8% box mAP.☆108Updated 3 years ago
- yolov5的注释版本☆271Updated 4 years ago
- 广东工业智造大赛--布匹瑕疵检测复赛代码☆184Updated 5 years ago
- ☆68Updated 3 years ago
- change the vocdataset 2 cocodataset pattern☆69Updated 6 years ago
- 基于pytorch版ssd进行改进注入CBAM空间通道注意力机制,加入FPN,类别损失函数改为focalloss☆41Updated 4 years ago
- 本仓库主要包含了针对目标检测数据集的增强手段和源码:图像的旋转,镜像,裁剪,亮度/对比度的变换等☆134Updated 4 years ago
- annotations of yolov5-5.0☆232Updated 3 years ago
- 这个是一个在SSD的基础上用于生成绘制mAP代码所用的txt的例子。(目的是生成txt)☆129Updated 4 years ago
- 基于YoloV5的一些魔改及相关部署方案☆63Updated 3 years ago
- Using model pruning method to obtain compact models Pruned-YOLOv5 based on YOLOv5.☆59Updated 3 years ago
- 天池2021广东工业智能制造大赛瓷砖瑕疵检测极客奖方案☆79Updated 3 years ago
- ghostnet_cifar10☆115Updated 4 years ago
- Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)☆47Updated 3 years ago
- A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection☆50Updated 4 years ago
- a data augment tool for object detection☆90Updated 6 years ago
- ☆71Updated 10 months ago