预测

summary.py

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+#--------------------------------------------#
+#   该部分代码用于看网络结构
+#--------------------------------------------#
+import torch
+from thop import clever_format, profile
+from torchsummary import summary
+
+from nets.yolo import YoloBody
+
+if __name__ == "__main__":
+    input_shape     = [640, 640]
+    anchors_mask    = [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
+    num_classes     = 80
+    backbone        = 'cspdarknet'
+    phi             = 'l'
+    
+    device  = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    m       = YoloBody(anchors_mask, num_classes, phi, backbone=backbone).to(device)
+    summary(m, (3, input_shape[0], input_shape[1]))
+    
+    dummy_input     = torch.randn(1, 3, input_shape[0], input_shape[1]).to(device)
+    flops, params   = profile(m.to(device), (dummy_input, ), verbose=False)
+    #--------------------------------------------------------#
+    #   flops * 2是因为profile没有将卷积作为两个operations
+    #   有些论文将卷积算乘法、加法两个operations。此时乘2
+    #   有些论文只考虑乘法的运算次数，忽略加法。此时不乘2
+    #   本代码选择乘2，参考YOLOX。
+    #--------------------------------------------------------#
+    flops           = flops * 2
+    flops, params   = clever_format([flops, params], "%.3f")
+    print('Total GFLOPS: %s' % (flops))
+    print('Total params: %s' % (params))