@@ -152,7 +152,7 @@ class TFBottleneckCSP(keras.layers.Layer): | |||
self.cv3 = TFConv2d(c_, c_, 1, 1, bias=False, w=w.cv3) | |||
self.cv4 = TFConv(2 * c_, c2, 1, 1, w=w.cv4) | |||
self.bn = TFBN(w.bn) | |||
self.act = lambda x: keras.activations.relu(x, alpha=0.1) | |||
self.act = lambda x: keras.activations.swish(x) | |||
self.m = keras.Sequential([TFBottleneck(c_, c_, shortcut, g, e=1.0, w=w.m[j]) for j in range(n)]) | |||
def call(self, inputs): |