fix compatibility for hyper config (#1146)

* fix/hyper

* Hyp giou check to train.py

* restore general.py

* train.py overwrite fix

* restore general.py and pep8 update

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

train.py

@@ -5,6 +5,7 @@
 import shutil
 import time
 from pathlib import Path
+from warnings import warn
 
 import math
 import numpy as np
@@ -430,9 +431,8 @@ def train(hyp, opt, device, tb_writer=None):
         opt.img_size.extend([opt.img_size[-1]] * (2 - len(opt.img_size)))  # extend to 2 sizes (train, test)
         log_dir = increment_dir(Path(opt.logdir) / 'exp', opt.name)  # runs/exp1
 
-    device = select_device(opt.device, batch_size=opt.batch_size)
-
     # DDP mode
+    device = select_device(opt.device, batch_size=opt.batch_size)
     if opt.local_rank != -1:
         assert torch.cuda.device_count() > opt.local_rank
         torch.cuda.set_device(opt.local_rank)
@@ -441,11 +441,16 @@ def train(hyp, opt, device, tb_writer=None):
         assert opt.batch_size % opt.world_size == 0, '--batch-size must be multiple of CUDA device count'
         opt.batch_size = opt.total_batch_size // opt.world_size
 
-    logger.info(opt)
+    # Hyperparameters
     with open(opt.hyp) as f:
         hyp = yaml.load(f, Loader=yaml.FullLoader)  # load hyps
+        if 'box' not in hyp:
+            warn('Compatibility: %s missing "box" which was renamed from "giou" in %s' %
+                 (opt.hyp, 'https://github.com/ultralytics/yolov5/pull/1120'))
+            hyp['box'] = hyp.pop('giou')
 
     # Train
+    logger.info(opt)
     if not opt.evolve:
         tb_writer = None
         if opt.global_rank in [-1, 0]:

utils/general.py

@@ -1,18 +1,18 @@
 import glob
 import logging
-import math
 import os
 import platform
 import random
+import re
 import shutil
 import subprocess
 import time
-import re
 from contextlib import contextmanager
 from copy import copy
 from pathlib import Path
 
 import cv2
+import math
 import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np