multispectral-object-detection
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Multispectral Object Detection with Yolov5 and Transformer
'SPPF'
 #Can't get attribute 'SPPF' on How to solve this problem?
作者你好,我想询问一下,我用了你提供的FLIR权重文件进行重训练,没有得到理想的结果,所以来询问一下,训练策略是什么?谢谢。
Thank you for your great work! I'd like to ask about your training settings of FLIR. I stuck to all default settings except for Batchsize. I set Batchsize to 8...
您好! 我对您的工作非常感兴趣,但是我在进行VEDAI数据集的实验时发现没有明确的训练集和测试集的划分,请问您是如何划分的呢?
您好!感谢您的贡献。 我在跑flird数据集时出现了指标一直很差的情况。如图  我所加载的模型是yolov5l.pt yaml文件为yolov5l_fusion_transformer_flir_aligned.yaml. 其余的设置都没有变。 请问是哪里设置错了吗? 期望收到您的回复
我将数据集做了处理,xml格式转化为了txt,但是txt也是三个类别没错,训练结果也是三个类别,只有推理有问题,请问是推理代码哪里需要改嘛? parser.add_argument('--weights', nargs='+', type=str, default='./runs/train/iou/weights/best.pt', help='model.pt path(s)') parser.add_argument('--source1', type=str, default='./FLIR_ADAS-v5/train/rgb/FLIR_09973_RGB.jpg', help='source') # file/folder, 0 for webcam parser.add_argument('--source2', type=str, default='./FLIR_ADAS-v5/train/thermal_8_bit/FLIR_09973_PreviewData.jpeg', help='source') # file/folder, 0 for webcam parser.add_argument('--img-size', type=int, default=640, help='inference size...
Thanks for your contribution! Could you please tell me the input shape for training LLVIP YOLOV5L, which achieves 97.5 [email protected] and 5.40 MR?
想请教一下关于ds_fusion.py文件得作用
Thanks for your great work~ I find the result in LLVIP origin paper is higher than the result in your paper. I want to know why this difference happened. I...