| Model |
scale |
FPSFP32
RTX 4060
| APval
0.5:0.95
| APval
0.5
| Weight |
Logs |
| FCOS_R18_1x |
800,1333 |
24 |
34.0 |
52.2 |
ckpt |
log |
| FCOS_R50_1x |
800,1333 |
9 |
39.0 |
58.3 |
ckpt |
log |
| FCOS_RT_R18_3x |
512,736 |
56 |
35.8 |
53.3 |
ckpt |
log |
| FCOS_RT_R50_3x |
512,736 |
34 |
40.7 |
59.3 |
ckpt |
log |
Train FCOS
Single GPU
Taking training FCOS_R18_1x on COCO as the example,
python main.py --cuda -d coco --root path/to/coco -m fcos_r18_1x --batch_size 16 --eval_epoch 2
Multi GPU
Taking training FCOS_R18_1x on COCO as the example,
python -m torch.distributed.run --nproc_per_node=8 train.py --cuda -dist -d coco --root path/to/coco -m fcos_r18_1x --batch_size 16 --eval_epoch 2
Test FCOS
Taking testing FCOS_R18_1x on COCO-val as the example,
python test.py --cuda -d coco --root path/to/coco -m fcos_r18_1x --weight path/to/fcos_r18_1x.pth -vt 0.4 --show
Evaluate FCOS
Taking evaluating FCOS_R18_1x on COCO-val as the example,
python main.py --cuda -d coco --root path/to/coco -m fcos_r18_1x --resume path/to/fcos_r18_1x.pth --eval_first
Demo
Detect with Image
python demo.py --mode image --path_to_img path/to/image_dirs/ --cuda -m fcos_r18_1x --weight path/to/weight -vt 0.4 --show
Detect with Video
python demo.py --mode video --path_to_vid path/to/video --cuda -m fcos_r18_1x --weight path/to/weight -vt 0.4 --show --gif
Detect with Camera
python demo.py --mode camera --cuda -m fcos_r18_1x --weight path/to/weight -vt 0.4 --show --gif
yjh0410
3e72bd7a3a
add odlab including detr