check_git_status() to train.py

train.py

@@ -23,7 +23,6 @@ best = wdir + 'best.pt'
 results_file = 'results.txt'
 
 # Hyperparameters https://github.com/ultralytics/yolov3/issues/310
-
 hyp = {'giou': 3.54,  # giou loss gain
        'cls': 37.4,  # cls loss gain
        'cls_pw': 1.0,  # cls BCELoss positive_weight
@@ -54,7 +53,6 @@ if f:
 if hyp['fl_gamma']:
     print('Using FocalLoss(gamma=%g)' % hyp['fl_gamma'])
 
-
 def train():
     cfg = opt.cfg
     data = opt.data
@@ -408,6 +406,7 @@ if __name__ == '__main__':
     parser.add_argument('--single-cls', action='store_true', help='train as single-class dataset')
     opt = parser.parse_args()
     opt.weights = last if opt.resume else opt.weights
+    check_git_status()
     print(opt)
     opt.img_size.extend([opt.img_size[-1]] * (3 - len(opt.img_size)))  # extend to 3 sizes (min, max, test)
     device = torch_utils.select_device(opt.device, apex=mixed_precision, batch_size=opt.batch_size)

utils/utils.py

@@ -17,16 +17,10 @@ from tqdm import tqdm
 
 from . import torch_utils  # , google_utils
 
-matplotlib.rc('font', **{'size': 11})
-
-# Suggest 'git pull'
-s = subprocess.check_output('if [ -d .git ]; then git status -uno; fi', shell=True).decode('utf-8')
-if 'Your branch is behind' in s:
-    print(s[s.find('Your branch is behind'):s.find('\n\n')] + '\n')
-
 # Set printoptions
 torch.set_printoptions(linewidth=320, precision=5, profile='long')
 np.set_printoptions(linewidth=320, formatter={'float_kind': '{:11.5g}'.format})  # format short g, %precision=5
+matplotlib.rc('font', **{'size': 11})
 
 # Prevent OpenCV from multithreading (to use PyTorch DataLoader)
 cv2.setNumThreads(0)
@@ -38,6 +32,13 @@ def init_seeds(seed=0):
     torch_utils.init_seeds(seed=seed)
 
 
+def check_git_status():
+    # Suggest 'git pull' if repo is out of date
+    s = subprocess.check_output('if [ -d .git ]; then git fetch && git status -uno; fi', shell=True).decode('utf-8')
+    if 'Your branch is behind' in s:
+        print(s[s.find('Your branch is behind'):s.find('\n\n')] + '\n')
+
+
 def load_classes(path):
     # Loads *.names file at 'path'
     with open(path, 'r') as f: