GhostConv update (ultralytics#2082)

models/experimental.py

@@ -58,7 +58,7 @@ def forward(self, x):
 
 class GhostBottleneck(nn.Module):
     # Ghost Bottleneck https://github.com/huawei-noah/ghostnet
-    def __init__(self, c1, c2, k, s):
+    def __init__(self, c1, c2, k=3, s=1):  # ch_in, ch_out, kernel, stride
         super(GhostBottleneck, self).__init__()
         c_ = c2 // 2
         self.conv = nn.Sequential(GhostConv(c1, c_, 1, 1),  # pw

models/yolo.py

@@ -8,7 +8,7 @@
 logger = logging.getLogger(__name__)
 
 from models.common import *
-from models.experimental import MixConv2d, CrossConv
+from models.experimental import *
 from utils.autoanchor import check_anchor_order
 from utils.general import make_divisible, check_file, set_logging
 from utils.torch_utils import time_synchronized, fuse_conv_and_bn, model_info, scale_img, initialize_weights, \
@@ -210,7 +210,8 @@ def parse_model(d, ch):  # model_dict, input_channels(3)
                 pass
 
         n = max(round(n * gd), 1) if n > 1 else n  # depth gain
-        if m in [Conv, Bottleneck, SPP, DWConv, MixConv2d, Focus, CrossConv, BottleneckCSP, C3]:
+        if m in [Conv, GhostConv, Bottleneck, GhostBottleneck, SPP, DWConv, MixConv2d, Focus, CrossConv, BottleneckCSP,
+                 C3]:
             c1, c2 = ch[f], args[0]
 
             # Normal