RT-DETR training logs
coco
rtdetr_r18vd_6x_coco_log.txt rtdetr_r34vd_6x_coco_log.txt rtdetr_r50vd_6x_coco_log.txt rtdetr_r101vd_6x_coco_log.txt rtdetr_hgnetv2_l_6x_coco_log.txt rtdetr_hgnetv2_x_6x_coco_log.txt
objects365
rtdetr_r50vd_1x_objects365_log.txt rtdetr_r50vd_2x_coco_objects365_log.txt rtdetr_r101vd_1x_objects365_log.txt rtdetr_r101vd_2x_coco_objects365_log.txt rtdetr_r18vd_1x_objects365_log.txt rtdetr_r18vd_5x_coco_objects365_log.txt
torch
rtdetr_r18vd_6x_coco_pytorch_log.txt
可以先star本项目 持续关注动态
请问,在训练时这种log文件要怎么保存?
请问,在训练时这种log文件要怎么保存?
- 启动时候
fleetrun --log_dir指定目录,在目录里有workerlog.0 - 通过重定向方式,
&> xxxx.log 2>&1
@butn345
您好,请问torch版本的训练日志有吗,我在50vd的基础上进行训练,训练1个epoch map才只有1点多,但是paddle训练1个epoch map有三十多,这是怎么回事阿,下面是我的训练指令,torchrun --nproc_per_node=2 tools/train.py -c configs/rtdetr/rtdetr_r50vd_6x_coco.yml
想在训练代码的时候不适用训练好的ResNet50,想从头开始训练应该怎么弄