size mismatch

[chuliuT]

RuntimeError: Error(s) in loading state_dict for Small_Model:
size mismatch for backbone_self.conv1.conv.weight: copying a param with shape torch.Size([104, 64, 3, 3]) from checkpoint, the shape in current model is torch.Size([89, 64, 3, 3]).
size mismatch for backbone_self.conv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.conv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.conv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.conv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp1.cv1.conv.weight: copying a param with shape torch.Size([64, 104, 1, 1]) from checkpoint, the shape in current model is torch.Size([64, 89, 1, 1]).
size mismatch for backbone_self.csp1.cv2.weight: copying a param with shape torch.Size([52, 104, 1, 1]) from checkpoint, the shape in current model is torch.Size([44, 89, 1, 1]).
size mismatch for backbone_self.csp1.cv3.weight: copying a param with shape torch.Size([52, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([44, 64, 1, 1]).
size mismatch for backbone_self.csp1.cv4.conv.weight: copying a param with shape torch.Size([104, 104, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 88, 1, 1]).
size mismatch for backbone_self.csp1.cv4.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp1.cv4.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp1.cv4.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp1.cv4.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([88]).
size mismatch for backbone_self.csp1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([88]).
size mismatch for backbone_self.csp1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([88]).
size mismatch for backbone_self.csp1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([88]).
size mismatch for backbone_self.csp1.m.0.cv1.conv.weight: copying a param with shape torch.Size([52, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([44, 64, 1, 1]).
size mismatch for backbone_self.csp1.m.0.cv1.bn.weight: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.0.cv1.bn.bias: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.0.cv1.bn.running_var: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.0.cv2.conv.weight: copying a param with shape torch.Size([64, 52, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 44, 3, 3]).
size mismatch for backbone_self.csp1.m.1.cv1.conv.weight: copying a param with shape torch.Size([52, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([44, 64, 1, 1]).
size mismatch for backbone_self.csp1.m.1.cv1.bn.weight: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.1.cv1.bn.bias: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.1.cv1.bn.running_var: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.1.cv2.conv.weight: copying a param with shape torch.Size([64, 52, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 44, 3, 3]).
size mismatch for backbone_self.csp1.m.2.cv1.conv.weight: copying a param with shape torch.Size([52, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([44, 64, 1, 1]).
size mismatch for backbone_self.csp1.m.2.cv1.bn.weight: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.2.cv1.bn.bias: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.2.cv1.bn.running_var: copying a param with shape torch.Size([52]) from checkpoint, the shape in current model is torch.Size([44]).
size mismatch for backbone_self.csp1.m.2.cv2.conv.weight: copying a param with shape torch.Size([64, 52, 3, 3]) from checkpoint, the shape in current model is torch.Size([64, 44, 3, 3]).
size mismatch for backbone_self.conv2.conv.weight: copying a param with shape torch.Size([206, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 89, 3, 3]).
size mismatch for backbone_self.conv2.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.conv2.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.conv2.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.conv2.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp2.cv1.conv.weight: copying a param with shape torch.Size([128, 206, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 179, 1, 1]).
size mismatch for backbone_self.csp2.cv2.weight: copying a param with shape torch.Size([104, 206, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 179, 1, 1]).
size mismatch for backbone_self.csp2.cv3.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.cv4.conv.weight: copying a param with shape torch.Size([206, 208, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 178, 1, 1]).
size mismatch for backbone_self.csp2.cv4.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp2.cv4.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp2.cv4.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp2.cv4.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp2.bn.weight: copying a param with shape torch.Size([208]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for backbone_self.csp2.bn.bias: copying a param with shape torch.Size([208]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for backbone_self.csp2.bn.running_mean: copying a param with shape torch.Size([208]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for backbone_self.csp2.bn.running_var: copying a param with shape torch.Size([208]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for backbone_self.csp2.m.0.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.0.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.0.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.0.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.0.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.1.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.1.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.1.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.1.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.1.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.2.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.2.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.2.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.2.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.2.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.3.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.3.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.3.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.3.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.3.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.3.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.4.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.4.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.4.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.4.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.4.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.4.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.5.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.5.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.5.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.5.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.5.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.5.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.6.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.6.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.6.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.6.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.6.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.6.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.7.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.7.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.7.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.7.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.7.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.7.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.csp2.m.8.cv1.conv.weight: copying a param with shape torch.Size([104, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 128, 1, 1]).
size mismatch for backbone_self.csp2.m.8.cv1.bn.weight: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.8.cv1.bn.bias: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.8.cv1.bn.running_mean: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.8.cv1.bn.running_var: copying a param with shape torch.Size([104]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for backbone_self.csp2.m.8.cv2.conv.weight: copying a param with shape torch.Size([128, 104, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 89, 3, 3]).
size mismatch for backbone_self.conv3.conv.weight: copying a param with shape torch.Size([410, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 179, 3, 3]).
size mismatch for backbone_self.conv3.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.conv3.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.conv3.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.conv3.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.cv1.conv.weight: copying a param with shape torch.Size([256, 410, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 358, 1, 1]).
size mismatch for backbone_self.csp3.cv2.weight: copying a param with shape torch.Size([206, 410, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 358, 1, 1]).
size mismatch for backbone_self.csp3.cv3.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.cv4.conv.weight: copying a param with shape torch.Size([410, 412, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for backbone_self.csp3.cv4.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.cv4.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.cv4.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.cv4.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.bn.weight: copying a param with shape torch.Size([412]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.bn.bias: copying a param with shape torch.Size([412]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.bn.running_mean: copying a param with shape torch.Size([412]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.bn.running_var: copying a param with shape torch.Size([412]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp3.m.0.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.0.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.0.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.0.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.0.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.1.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.1.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.1.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.1.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.1.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.2.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.2.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.2.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.2.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.2.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.3.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.3.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.3.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.3.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.3.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.3.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.4.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.4.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.4.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.4.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.4.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.4.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.5.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.5.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.5.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.5.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.5.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.5.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.6.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.6.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.6.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.6.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.6.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.6.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.7.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.7.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.7.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.7.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.7.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.7.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.csp3.m.8.cv1.conv.weight: copying a param with shape torch.Size([206, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 256, 1, 1]).
size mismatch for backbone_self.csp3.m.8.cv1.bn.weight: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.8.cv1.bn.bias: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.8.cv1.bn.running_mean: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.8.cv1.bn.running_var: copying a param with shape torch.Size([206]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for backbone_self.csp3.m.8.cv2.conv.weight: copying a param with shape torch.Size([256, 206, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 179, 3, 3]).
size mismatch for backbone_self.conv4.conv.weight: copying a param with shape torch.Size([820, 410, 3, 3]) from checkpoint, the shape in current model is torch.Size([716, 358, 3, 3]).
size mismatch for backbone_self.conv4.bn.weight: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.conv4.bn.bias: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.conv4.bn.running_mean: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.conv4.bn.running_var: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.spp.cv1.conv.weight: copying a param with shape torch.Size([410, 820, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 716, 1, 1]).
size mismatch for backbone_self.spp.cv1.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.spp.cv1.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.spp.cv1.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.spp.cv1.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.spp.cv2.conv.weight: copying a param with shape torch.Size([820, 1640, 1, 1]) from checkpoint, the shape in current model is torch.Size([716, 1432, 1, 1]).
size mismatch for backbone_self.spp.cv2.bn.weight: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.spp.cv2.bn.bias: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.spp.cv2.bn.running_mean: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.spp.cv2.bn.running_var: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.cv1.conv.weight: copying a param with shape torch.Size([410, 820, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 716, 1, 1]).
size mismatch for backbone_self.csp4.cv1.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.cv1.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.cv1.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.cv1.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.cv2.weight: copying a param with shape torch.Size([410, 820, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 716, 1, 1]).
size mismatch for backbone_self.csp4.cv3.weight: copying a param with shape torch.Size([410, 410, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for backbone_self.csp4.cv4.conv.weight: copying a param with shape torch.Size([820, 820, 1, 1]) from checkpoint, the shape in current model is torch.Size([716, 716, 1, 1]).
size mismatch for backbone_self.csp4.cv4.bn.weight: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.cv4.bn.bias: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.cv4.bn.running_mean: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.cv4.bn.running_var: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.bn.weight: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.bn.bias: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.bn.running_mean: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.bn.running_var: copying a param with shape torch.Size([820]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for backbone_self.csp4.m.0.cv1.conv.weight: copying a param with shape torch.Size([410, 410, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for backbone_self.csp4.m.0.cv1.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.0.cv1.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.0.cv1.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.0.cv2.conv.weight: copying a param with shape torch.Size([410, 410, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 358, 3, 3]).
size mismatch for backbone_self.csp4.m.0.cv2.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.0.cv2.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.0.cv2.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.0.cv2.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv1.conv.weight: copying a param with shape torch.Size([410, 410, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for backbone_self.csp4.m.1.cv1.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv1.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv1.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv2.conv.weight: copying a param with shape torch.Size([410, 410, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 358, 3, 3]).
size mismatch for backbone_self.csp4.m.1.cv2.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv2.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv2.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.1.cv2.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv1.conv.weight: copying a param with shape torch.Size([410, 410, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for backbone_self.csp4.m.2.cv1.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv1.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv1.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv2.conv.weight: copying a param with shape torch.Size([410, 410, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 358, 3, 3]).
size mismatch for backbone_self.csp4.m.2.cv2.bn.weight: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv2.bn.bias: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv2.bn.running_mean: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for backbone_self.csp4.m.2.cv2.bn.running_var: copying a param with shape torch.Size([410]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.conv1.conv.weight: copying a param with shape torch.Size([512, 820, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 716, 1, 1]).
size mismatch for neck_self.conv1.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.conv1.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.conv1.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.conv1.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.cv1.conv.weight: copying a param with shape torch.Size([256, 922, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 716, 1, 1]).
size mismatch for neck_self.csp1.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.cv2.weight: copying a param with shape torch.Size([256, 922, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 716, 1, 1]).
size mismatch for neck_self.csp1.cv3.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp1.cv4.conv.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for neck_self.csp1.cv4.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.cv4.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.cv4.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.cv4.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp1.m.0.cv1.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp1.m.0.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.0.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.0.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.0.cv2.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 179, 3, 3]).
size mismatch for neck_self.csp1.m.0.cv2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.0.cv2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.0.cv2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.0.cv2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv1.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp1.m.1.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv2.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 179, 3, 3]).
size mismatch for neck_self.csp1.m.1.cv2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.1.cv2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv1.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp1.m.2.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv2.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 179, 3, 3]).
size mismatch for neck_self.csp1.m.2.cv2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp1.m.2.cv2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv2.conv.weight: copying a param with shape torch.Size([256, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 358, 1, 1]).
size mismatch for neck_self.conv2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp2.cv1.conv.weight: copying a param with shape torch.Size([128, 462, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 358, 1, 1]).
size mismatch for neck_self.csp2.cv1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.cv1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.cv1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.cv1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.cv2.weight: copying a param with shape torch.Size([128, 462, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 358, 1, 1]).
size mismatch for neck_self.csp2.cv3.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 89, 1, 1]).
size mismatch for neck_self.csp2.cv4.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 178, 1, 1]).
size mismatch for neck_self.csp2.cv4.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp2.cv4.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp2.cv4.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp2.cv4.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for neck_self.csp2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for neck_self.csp2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for neck_self.csp2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([178]).
size mismatch for neck_self.csp2.m.0.cv1.conv.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 89, 1, 1]).
size mismatch for neck_self.csp2.m.0.cv1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.0.cv1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.0.cv1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.0.cv2.conv.weight: copying a param with shape torch.Size([128, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([89, 89, 3, 3]).
size mismatch for neck_self.csp2.m.0.cv2.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.0.cv2.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.0.cv2.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.0.cv2.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv1.conv.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 89, 1, 1]).
size mismatch for neck_self.csp2.m.1.cv1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv2.conv.weight: copying a param with shape torch.Size([128, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([89, 89, 3, 3]).
size mismatch for neck_self.csp2.m.1.cv2.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv2.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv2.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.1.cv2.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv1.conv.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([89, 89, 1, 1]).
size mismatch for neck_self.csp2.m.2.cv1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv2.conv.weight: copying a param with shape torch.Size([128, 128, 3, 3]) from checkpoint, the shape in current model is torch.Size([89, 89, 3, 3]).
size mismatch for neck_self.csp2.m.2.cv2.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv2.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv2.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.csp2.m.2.cv2.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([89]).
size mismatch for neck_self.conv3.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 179, 3, 3]).
size mismatch for neck_self.conv3.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv3.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv3.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv3.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.cv1.conv.weight: copying a param with shape torch.Size([256, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 358, 1, 1]).
size mismatch for neck_self.csp3.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.cv2.weight: copying a param with shape torch.Size([256, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 358, 1, 1]).
size mismatch for neck_self.csp3.cv3.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp3.cv4.conv.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for neck_self.csp3.cv4.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.cv4.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.cv4.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.cv4.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp3.m.0.cv1.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp3.m.0.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.0.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.0.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.0.cv2.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 179, 3, 3]).
size mismatch for neck_self.csp3.m.0.cv2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.0.cv2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.0.cv2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.0.cv2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv1.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp3.m.1.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv2.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 179, 3, 3]).
size mismatch for neck_self.csp3.m.1.cv2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.1.cv2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv1.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([179, 179, 1, 1]).
size mismatch for neck_self.csp3.m.2.cv1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv2.conv.weight: copying a param with shape torch.Size([256, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([179, 179, 3, 3]).
size mismatch for neck_self.csp3.m.2.cv2.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv2.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv2.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.csp3.m.2.cv2.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([179]).
size mismatch for neck_self.conv4.conv.weight: copying a param with shape torch.Size([512, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 358, 3, 3]).
size mismatch for neck_self.conv4.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.conv4.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.conv4.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.conv4.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.cv1.conv.weight: copying a param with shape torch.Size([512, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 716, 1, 1]).
size mismatch for neck_self.csp4.cv1.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.cv1.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.cv1.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.cv1.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.cv2.weight: copying a param with shape torch.Size([512, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 716, 1, 1]).
size mismatch for neck_self.csp4.cv3.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for neck_self.csp4.cv4.conv.weight: copying a param with shape torch.Size([1024, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([716, 716, 1, 1]).
size mismatch for neck_self.csp4.cv4.bn.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.cv4.bn.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.cv4.bn.running_mean: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.cv4.bn.running_var: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.bn.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.bn.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.bn.running_mean: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.bn.running_var: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([716]).
size mismatch for neck_self.csp4.m.0.cv1.conv.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for neck_self.csp4.m.0.cv1.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.0.cv1.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.0.cv1.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.0.cv1.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.0.cv2.conv.weight: copying a param with shape torch.Size([512, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 358, 3, 3]).
size mismatch for neck_self.csp4.m.0.cv2.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.0.cv2.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.0.cv2.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.0.cv2.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv1.conv.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for neck_self.csp4.m.1.cv1.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv1.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv1.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv1.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv2.conv.weight: copying a param with shape torch.Size([512, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 358, 3, 3]).
size mismatch for neck_self.csp4.m.1.cv2.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv2.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv2.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.1.cv2.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv1.conv.weight: copying a param with shape torch.Size([512, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([358, 358, 1, 1]).
size mismatch for neck_self.csp4.m.2.cv1.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv1.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv1.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv1.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv2.conv.weight: copying a param with shape torch.Size([512, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([358, 358, 3, 3]).
size mismatch for neck_self.csp4.m.2.cv2.bn.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv2.bn.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv2.bn.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for neck_self.csp4.m.2.cv2.bn.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([358]).
size mismatch for head_self.m.0.weight: copying a param with shape torch.Size([36, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([36, 179, 1, 1]).
size mismatch for head_self.m.1.weight: copying a param with shape torch.Size([36, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([36, 358, 1, 1]).
size mismatch for head_self.m.2.weight: copying a param with shape torch.Size([36, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([36, 716, 1, 1]).