zcablii / LSKNet

(ICCV 2023) Large Selective Kernel Network for Remote Sensing Object Detection
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[Docs] #72

Closed daihaoma closed 2 days ago

daihaoma commented 1 week ago

Branch

master branch https://mmrotate.readthedocs.io/en/latest/

📚 The doc issue

Thanks to the authors for their research. Can you please tell me if used any other preprocessing besides splitting the dataset before training. I trained the project with dota dataset and found that the map value is only 0.59. and the best training occurs at epoch10. i checked the labeled boxes during training and found that a part of them is not oriented (Fig.). Is this normal? Here's my log. P0002__1024__0___0 P0002__1024__0___824 P0002__1024__1533___0 20240701_164416.log

Suggest a potential alternative/fix

No response

zcablii commented 6 days ago
  1. Make sure you are using multi-scale splitting for trainingms_train.json and testingms_test.json
  2. It looks like you are using single GPU with bs=1. You may need to adjust your lr and bs accordingly. #43
daihaoma commented 6 days ago
  1. 确保使用多尺度分割来训练ms_train.json并测试ms_test.json
  2. 看起来您正在使用单个 GPU,并且 bs=1。您可能需要相应地调整 lr 和 bs。[shceduler]  #43 Thanks for your reply, I will re change my lr and bs. i refer to your reply to know that lr = (your_batchsize) / (default_batchsize) * 0.0002. i have only one gpu so is default_batchsize equal to 1 here.