updates

detect.py

@@ -25,7 +25,6 @@ parser.add_argument('-img_size', type=int, default=32 * 13, help='size of each i
 opt = parser.parse_args()
 print(opt)
 
-
 def detect(opt):
     os.system('rm -rf ' + opt.output_folder)
     os.makedirs(opt.output_folder, exist_ok=True)
@@ -66,8 +65,7 @@ def detect(opt):
 
         # Get detections
         with torch.no_grad():
-            chip = torch.from_numpy(img).unsqueeze(0).to(device)
-            pred = model(chip)
+            pred = model(torch.from_numpy(img).unsqueeze(0).to(device))
             pred = pred[pred[:, :, 4] > opt.conf_thres]
 
             if len(pred) > 0:

train.py

@@ -1,6 +1,5 @@
 import argparse
 import time
-import test
 
 from models import *
 from utils.datasets import *
@@ -182,6 +181,7 @@ def main(opt):
             os.system('cp weights/latest.pt weights/backup' + str(epoch) + '.pt')
 
         # Calculate mAP
+        import test
         test.opt.weights_path = 'weights/latest.pt'
         mAP = test.main(test.opt)