pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet
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File "train_test.py", line 127, in <module> net = build_net(size=300, num_classes=7) File "/home/syh-hwj/daima/PytorchSSD/models/FSSD_vgg.py", line 224, in build_net return FSSD(*feature_transform_module(vgg(vgg_base[str(size)], 3), add_extras(extras[str(size)], 1024), size=300), File "/home/syh-hwj/daima/PytorchSSD/models/base_models.py", line 14, in vgg conv2d = nn.Conv2d(in_channels, v, kernel_size=3, padding=1) File "/home/syh-hwj/anaconda3/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 297, in __init__ False, _pair(0), groups, bias) File "/home/syh-hwj/anaconda3/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 33, in __init__ out_channels, in_channels // groups, *kernel_size)) RuntimeError: CUDA error: out of memory #98
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