From b781998499fddce8af6feb4e41da32ef723594cc Mon Sep 17 00:00:00 2001 From: ZhongdaoWang Date: Fri, 11 Oct 2019 17:37:42 +0800 Subject: [PATCH] Update README.md --- README.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 766f8a5..cfbadc8 100644 --- a/README.md +++ b/README.md @@ -35,9 +35,17 @@ JDE-1088x608-uncertainty: [[Google Drive]](https://drive.google.com/open?id=1nln ## Test on MOT-16 Challenge ## Training instruction +- Download the training datasets. +- Edit `cfg/ccmcpe.json`, config the training/validation combinations. A dataset is represented by an image list, please see `data/*.train` for example. +- Run the training script: +``` +CUDA_VISIBLE_DEIVCES=0,1,2,3,4,5,6,7 python train.py +``` + +We use 8x Nvidia Titan Xp to train the model, with a batch size of 32. You can adjust the batch size (and the learning rate together) according to how many GPUs your have. You can also train with smaller image size, which will bring faster inference time. But note the image size had better to be multiples of 32 (the down-sampling rate). ### Train with custom datasets - +Adding custom datsets is quite simple, all you need to do is to organize your annotation files in the same format as in our training sets. Please refer to [DATASET_ZOO.md](https://github.com/Zhongdao/Towards-Realtime-MOT/blob/master/DATASET_ZOO.md) for the dataset format. ## Acknowledgement