wandahangFY/YOLO-MIF
YOLO-MIF(YOLOv8-RGBT) is an improved version of YOLOv8 for object detection in gray-scale images, incorporating multi-information fusion to enhance detection accuracy. The detection of RGBT mode is also added. YOLO-MIF是在灰度图像中进行目标检测的改进型YOLOv8模型，引入了多信息融合策略，提高了检测准确性。 并添加了RGBT模式的检测,分割以及关节点任务。
PythonMIT
Issues
- 2
请问本项目的图像融合方法适用于yolov8pose吗
#9 opened by alubabaobao - 1
我在FLIR数据集上测试了SimOTM的增强方式，但是似乎准确率没什么变化
#8 opened by yingmengzhiyin - 3
DeepDBB结构图与代码不对应？
#7 opened by bolt958 - 1
yolov8_obb for gray-scale images
#6 opened by DILENZE - 1
train_batch0图片标签训练时没有对齐
#5 opened by Leng-bingo - 1
五通道图片设置报错
#4 opened by Leng-bingo - 4
如何用自己的数据集train RGBT
#3 opened by xstjs - 30
对于16位单通道的图像，可否训练和预测啊？或者大神有没有啥好主意指点一下？
#2 opened by retioa11 - 4
Is it empty？
#1 opened by retioa11