tensorboy / centerpose

Push the Extreme of the pose estimation
MIT License
237 stars 45 forks source link

运行readme里面的例子出错,是提供的模型和参数对不上吗? #17

Closed deep-practice closed 4 years ago

deep-practice commented 4 years ago

Drop parameter dla_up.ida_2.up_1.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.actf.0.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.actf.0.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.actf.0.running_mean.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.actf.0.running_var.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.actf.0.num_batches_tracked.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.conv.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.conv.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.conv.conv_offset_mask.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.node_1.conv.conv_offset_mask.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.actf.0.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.actf.0.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.actf.0.running_mean.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.actf.0.running_var.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.actf.0.num_batches_tracked.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.conv.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.conv.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.conv.conv_offset_mask.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Drop parameter dla_up.ida_2.proj_2.conv.conv_offset_mask.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset.

deep-practice commented 4 years ago

更新了代码,可以了。。