update

yolo/models/yolov8/README.md

@@ -1,33 +1,42 @@
 # YOLOv8:
 
-|  Model    |  Batch | Scale | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) |  ckpt  | logs |
-|-----------|--------|-------|------------------------|-------------------|-------------------|--------------------|--------|------|
-| YOLOv8-S  | 8xb16  |  640  |                        |                   |                   |                    |  |  |
+- VOC
 
+|     Model   | Batch | Scale | AP<sup>val<br>0.5 | Weight |  Logs  |
+|-------------|-------|-------|-------------------|--------|--------|
+| YOLOv8-S    | 1xb16 |  640  |               | [ckpt](https://github.com/yjh0410/YOLO-Tutorial-v5/releases/download/yolo_tutorial_ckpt/yolov8_s_voc.pth) | [log](https://github.com/yjh0410/YOLO-Tutorial-v5/releases/download/yolo_tutorial_ckpt/YOLOv8-S-VOC.txt) |
 
-## Train YOLO
+- COCO
+
+|    Model    | Batch | Scale | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |  Logs  |
+|-------------|-------|-------|------------------------|-------------------|-------------------|--------------------|--------|--------|
+| YOLOv8-S    | 1xb16 |  640  |                    |               |   26.9            |   8.9             |  |  |
+
+
+
+## Train YOLOv8
 ### Single GPU
 Taking training YOLOv8-S on COCO as the example,
 ```Shell
-python train.py --cuda -d coco --root path/to/coco -m yolov8_s -bs 16  --fp16
+python train.py --cuda -d coco --root path/to/coco -m yolov8_s -bs 16 --fp16 
 ```
 
 ### Multi GPU
-Taking training YOLO on COCO as the example,
+Taking training YOLOv8-S on COCO as the example,
 ```Shell
-python -m torch.distributed.run --nproc_per_node=8 train.py --cuda --distributed -d coco --root /data/datasets/ -m yolov8_s -bs 128 --fp16 --sybn 
+python -m torch.distributed.run --nproc_per_node=8 train.py --cuda --distributed -d coco --root path/to/coco -m yolov8_s -bs 256 --fp16 
 ```
 
-## Test YOLO
-Taking testing YOLO on COCO-val as the example,
+## Test YOLOv8
+Taking testing YOLOv8-S on COCO-val as the example,
 ```Shell
-python test.py --cuda -d coco --root path/to/coco -m yolov8_s --weight path/to/yolo.pth --show 
+python test.py --cuda -d coco --root path/to/coco -m yolov8_s --weight path/to/yolov8.pth --show 
 ```
 
-## Evaluate YOLO
-Taking evaluating YOLO on COCO-val as the example,
+## Evaluate YOLOv8
+Taking evaluating YOLOv8-S on COCO-val as the example,
 ```Shell
-python eval.py --cuda -d coco --root path/to/coco -m yolov8_s --weight path/to/yolo.pth
+python eval.py --cuda -d coco --root path/to/coco -m yolov8_s --weight path/to/yolov8.pth 
 ```
 
 ## Demo
@@ -38,10 +47,10 @@ python demo.py --mode image --path_to_img path/to/image_dirs/ --cuda -m yolov8_s
 
 ### Detect with Video
 ```Shell
-python demo.py --mode video --path_to_vid path/to/video --cuda -m yolov8_s --weight path/to/weight --show
+python demo.py --mode video --path_to_vid path/to/video --cuda -m yolov8_s --weight path/to/weight --show --gif
 ```
 
 ### Detect with Camera
 ```Shell
-python demo.py --mode camera --cuda -m yolov8_s --weight path/to/weight --show
+python demo.py --mode camera --cuda -m yolov8_s --weight path/to/weight --show --gif
 ```