hyp evolution force-autoanchor fix

train.py

@@ -68,10 +68,10 @@ def train(hyp, opt, device, tb_writer=None):
         with torch_distributed_zero_first(rank):
             attempt_download(weights)  # download if not found locally
         ckpt = torch.load(weights, map_location=device)  # load checkpoint
-        if 'anchors' in hyp and hyp['anchors']:
+        if hyp.get('anchors'):
             ckpt['model'].yaml['anchors'] = round(hyp['anchors'])  # force autoanchor
         model = Model(opt.cfg or ckpt['model'].yaml, ch=3, nc=nc).to(device)  # create
-        exclude = ['anchor'] if opt.cfg else []  # exclude keys
+        exclude = ['anchor'] if opt.cfg or hyp.get('anchors') else []  # exclude keys
         state_dict = ckpt['model'].float().state_dict()  # to FP32
         state_dict = intersect_dicts(state_dict, model.state_dict(), exclude=exclude)  # intersect
         model.load_state_dict(state_dict, strict=False)  # load