zhanghx

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I have meet this quesiton too.my dist look like this : ![_20171214153723](https://user-images.githubusercontent.com/14010625/33980645-bc0d517c-e0e4-11e7-9a2b-adb364eaa6d4.jpg)

I mean the same object has different size

time unit get by the window stride. DEFAULT_WINDOW_SIZE * DEFAULT_OVERLAP_RATIO = window stride.

thanks for your reply. I will train with **s == 0.0001** again. I use AlexeyAB Yolo v4. I have 10000 images and 7 classes.

hi. I set s to 0.0001 to train the model. but it show me that: it is very strange. I checked the https://github.com/ultralytics/yolov3/issues but find nothing. I use the weight...

> But I think your current training should be normal. You set 300 epochs, the program will reduce the learning rate at 210 and 270 epoch. Although the map is...

sorry to late reply. because my graph card diver can't work > Could you show me the results of your training after 190 epochs yesterday so I train the model...

![loss](https://user-images.githubusercontent.com/14010625/47779148-5e4d6080-dd33-11e8-84d8-343ce7194d2f.png)

![loss](https://user-images.githubusercontent.com/14010625/47789130-afb71900-dd4e-11e8-9522-b715b7d69ef0.png) ![loss1](https://user-images.githubusercontent.com/14010625/47789157-c6f60680-dd4e-11e8-8a6d-7f7077b04244.png)

![1](https://user-images.githubusercontent.com/14010625/47789231-fd338600-dd4e-11e8-9a48-ca671e6e2066.jpg) ![2](https://user-images.githubusercontent.com/14010625/47789232-fdcc1c80-dd4e-11e8-8ad1-82d8f2abac31.jpg) this is my data. the cameras were vertical.