tfyolo

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## ❔Question is it enough to change "yolo-m-mish.yaml" part, when i want to use different yolo structures (e.g yolo-s-mish.yaml or yolo-l-mish.yaml) in config.py in line: `parser.add_argument('--yaml_dir', type=str, default='configs/yolo-m-mish.yaml', help='model.yaml path')`...

emingunes1

Weights for yolov5 & training loss

3

## ❔Looking for weights for yolov5 and how to minimize training loss Are there existing weights which can be used ? And I have seen that you linked the weights...

darkC00kie

loss 过大

3

作者您好，我按照READ.ME运行完train.py后，loss较大约为90左右，且test的map精度很低 。您知道产生这个的原因是什么吗？或者怎么解决它。

lljjgg

Could you provide the pre-trained weights

2

## ❔Question Which is working for your code? I have been looking around the internet and couldn't find the TensorFlow(2.x) or Keras's weights or model. It would be nice you...

AI-Passionner

In Yolov5/yolo/dataset/augment_data.py Yolov5/yolo/dataset/augment_data.py", line 103 M = T @ S @ R @ P @ C # order of operations (right to left) is IMPORTANT What operation it is doing?...

ArunaKote

Can you point out the meaning of this number in label_anchor

2

Thank you for the wonderful project. Can you please show what is the meaning of number 6 in this line of code? https://github.com/LongxingTan/Yolov5/blob/88acfd988decc4cc78335cfb6eb50f1975294c1f/yolo/dataset/label_anchor.py#L35

hieuth133

detect wrong

3

After finishing train 100 epoch with voc dataset,I detect the train sample.but It's find nothing . the Loss about 500.

Superman0307

自定义数据集训练

1

## ❔Question 用自己的数据集训练时，不同尺寸的图片维度不同拼接会报错，请问下这个代码里面的马赛克增强代码是正确的吗？ ## Additional context ValueError: Dimension 1 in both shapes must be equal, but are 13 and 14. Shapes are [8,13,13] and [8,14,14]. for '{{node yolo/concat/concat}} = ConcatV2[N=2,...

XiongDa0001

## ❔Question Dear @LongxingTan, Thanks for your tf2 version of yolov5. I am curious about how your trained model's performance compared to the PyTorch version (i.e. coco, voc)? ## Additional...

monchhichizzq

Learning rate scheduler not updated in train_step

1

My tensorflow version is 2.1.0. I found that when calling step() of the learning rate scheduler, lr is not updated (the scheduler works fine when tested individually). I guess it...

Darkhunter9