@@ -1,5 +1,7 @@ | |||
import argparse | |||
import torch.backends.cudnn as cudnn | |||
from utils.datasets import * | |||
from utils.utils import * | |||
@@ -36,7 +38,7 @@ def detect(save_img=False): | |||
vid_path, vid_writer = None, None | |||
if webcam: | |||
view_img = True | |||
torch.backends.cudnn.benchmark = True # set True to speed up constant image size inference | |||
cudnn.benchmark = True # set True to speed up constant image size inference | |||
dataset = LoadStreams(source, img_size=imgsz) | |||
else: | |||
save_img = True |
@@ -4,6 +4,7 @@ import torch.distributed as dist | |||
import torch.nn.functional as F | |||
import torch.optim as optim | |||
import torch.optim.lr_scheduler as lr_scheduler | |||
import torch.utils.data | |||
from torch.utils.tensorboard import SummaryWriter | |||
import test # import test.py to get mAP after each epoch |