debug

models/detectors/rtcdet/README.md

@@ -5,7 +5,7 @@
 | RTCDet-N |  640  | 8xb16 |          36.8           |        54.9        |          36.6          |       54.6        |       8.2         |       2.1          | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/rtcdet_n_coco.pth) |
 | RTCDet-T |  640  | 8xb16 |          41.9           |        60.6        |          41.6          |       60.1        |       17.9        |       4.7          | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/rtcdet_t_coco.pth) |
 | RTCDet-S |  640  | 8xb16 |          45.2           |        64.0        |          44.7          |       63.7        |       31.5        |       8.4          | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/rtcdet_s_coco.pth) |
-| RTCDet-M |  640  | 8xb16 |                         |                    |                        |                   |       81.3        |       21.9         |  |
+| RTCDet-M |  640  | 8xb16 |                         |                    |                        |                   |       82.3        |       22.9         |  |
 | RTCDet-L |  640  | 8xb16 |                         |                    |                        |                   |                   |                    |  |
 | RTCDet-X |  640  | 8xb16 |                         |                    |                        |                   |                   |                    |  |
 

train_multi_gpus.sh

@@ -4,7 +4,7 @@ python -m torch.distributed.run --nproc_per_node=8 train.py \
                                                     -dist \
                                                     -d coco \
                                                     --root /data/datasets/ \
-                                                    -m rtcdet_m \
+                                                    -m rtcdet_s \
                                                     -bs 128 \
                                                     -size 640 \
                                                     --wp_epoch 3 \
@@ -15,6 +15,7 @@ python -m torch.distributed.run --nproc_per_node=8 train.py \
                                                     --fp16 \
                                                     --sybn \
                                                     --multi_scale \
+                                                    --save_folder weights/debug/ \
                                                     # --load_cache \
                                                     # --resume weights/coco/yolox_l/yolox_l_best.pth \