|
|
@@ -153,12 +153,12 @@ python train.py --cuda -d coco --root path/to/COCO -m yolov1 -bs 16 --max_epoch
|
|
|
|
|
|
* My YOLO:
|
|
|
|
|
|
-| Model | Scale | Epoch | AP<sup>test<br>0.5:0.95 | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |
|
|
|
-|----------|-------|-------|-------------------------|------------------------|-------------------|-------------------|--------------------|--------|
|
|
|
-| YOLOvx-N | 640 | 300 | | | | | | |
|
|
|
-| YOLOvx-S | 640 | 300 | | | | | | |
|
|
|
-| YOLOvx-M | 640 | 300 | | | | | | |
|
|
|
-| YOLOvx-L | 640 | 300 | | 50.0 | 68.4 | 176.6 | 47.6 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolovx_l_coco.pth) |
|
|
|
+| Model | Scale | Epoch | AP<sup>test<br>0.5:0.95 | AP<sup>test<br>0.5 | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |
|
|
|
+|----------|-------|-------|-------------------------|--------------------|------------------------|-------------------|-------------------|--------------------|--------|
|
|
|
+| YOLOvx-N | 640 | 300 | | | | | | | |
|
|
|
+| YOLOvx-S | 640 | 300 | | | | | | | |
|
|
|
+| YOLOvx-M | 640 | 300 | | | | | | | |
|
|
|
+| YOLOvx-L | 640 | 300 | 50.2 | 68.6 | 50.0 | 68.4 | 176.6 | 47.6 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolovx_l_coco.pth) |
|
|
|
|
|
|
* Redesigned RT-DETR:
|
|
|
|
yjh0410