Open charmowen opened 6 years ago
soory, you should use load_params.py to convert the vgg16_pruned pretained params to vgg 16_pruned_cascade params you can also look at readme ,I update it
@charmowen It seems that you used elder version of mxnet/gluon. try "load_params()" instead(it has been deprecated in the latest mxnet). load_parameters should work with latest mxnet/gluon
cascade_rcnn_vgg16_pruned_voc Traceback (most recent call last): File "scripts/detection/cascade_rcnn/train_cascade_rcnn.py", line 490, in
net = get_model(net_name, pretrained_base=True)
File "/home/cascade_rcnn_gluon/gluoncv/model_zoo/model_zoo.py", line 115, in get_model
net = modelsname
File "/home/cascade_rcnn_gluon/gluoncv/model_zoo/cascade_rcnn/cascade_rcnn.py", line 672, in cascade_rcnn_vgg16_pruned_voc
base_network = vgg16_pruned(pretrained=pretrained_base)
File "/home/cascade_rcnn_gluon/gluoncv/model_zoo/cascade_rcnn/vgg16_pruned.py", line 127, in vgg16_pruned
return get_vgg(16, **kwargs)
File "/home/cascade_rcnn_gluon/gluoncv/model_zoo/cascade_rcnn/vgg16_pruned.py", line 109, in get_vgg
net.load_parameters('./models/VGG_16_fc2048_prune_cascade.params',ctx=ctx)
AttributeError: 'VGG' object has no attribute 'load_parameters'