CV-deeplearning / calculate_detect_mAP
计算目标检测的指标:mAP,检出率,漏检率
☆12Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for calculate_detect_mAP
- 针对不同旋转矩形框标签格式的转换(txt和xml)☆73Updated 3 years ago
- ☆71Updated 4 months ago
- KLD实现旋转目标检测☆45Updated 2 years ago
- rotated bbox detection. inspired by https://github.com/hukaixuan19970627/YOLOv5_DOTA_OBB, thanks hukaixuan19970627.☆89Updated last year
- ☆106Updated 2 years ago
- 鉴于该 填鸭式 方法对小目标的数据增强的详细的描述较少,故重新整理了代码,并添加了说明。按照md文件的说明,应该可以正常的运行☆47Updated 3 years ago
- Pytorch复现YOLOv3,使用最新的DIOU loss训练☆69Updated 4 years ago
- https://zhuanlan.zhihu.com/p/430850089☆147Updated 2 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☆38Updated 3 years ago
- 可以训练yolov5(v6.0)、yolox、小型网络,添加注意力机制☆63Updated 3 years ago
- 将数据集转为voc格式☆21Updated 5 years ago
- my_custom_mmdetection☆58Updated 4 years ago
- YOLOX in DOTA with KLD loss. (Oriented Object Detection)(Rotated BBox)基于YOLOX的旋转目标检测☆75Updated 3 years ago
- ☆21Updated 3 years ago
- VOC类型数据集操作库函数☆52Updated 5 years ago
- replace YOLOv5 tag=4.0 backbone : MobileNetV2@1.0 and MobileNetV2@0.25☆24Updated 3 years ago
- Using model pruning method to obtain compact models Pruned-YOLOv5 based on YOLOv5.☆57Updated 3 years ago
- Arbitrary-oriented object detection based on yolov3.☆134Updated 3 years ago
- 使用retinaface完成车牌关键点检测,并在tensorRT下部署☆39Updated 3 years ago
- 分别使用OpenCV、ONNXRuntime部署yolov5旋转目标检测,包含C++和Python两个版本的程序☆60Updated 2 years ago
- yolov5 with more backbone☆17Updated 2 years ago
- 最简单的VOC转COCO, 一条指令完整转换☆82Updated 5 years ago
- a data augment tool for object detection☆90Updated 6 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☆129Updated 3 years ago
- 对于小目标的检测和识别☆26Updated 5 years ago
- yolov5 onnx caffe☆85Updated 3 years ago
- ppyolo in pytorch. 44.8% box mAP.☆105Updated 2 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。☆140Updated 3 years ago