Dataset and pre-trained model posted here: http://www.europe.naverlabs.com/Research/Computer-Vision/Learning-Visual-Representations/Deep-Image-Retrieval . Link was broken, authors fixed it recently.

Thank you! I have downloaded the model and prototxt. I simply use the "model.caffemodel" and "deploy_resnet101_normpython.prototxt" to construct a network as following:

caffe_prototxt = './deploy_resnet101_normpython.prototxt'
caffe_weight = './model.caffemodel'
caffe.set_mode_cpu()
net = caffe.Net(caffe_prototxt, caffe_weight, caffe.TEST)

However, the network cannot be constructed (My caffe was not compiled with the normalization layer, so I used normpython.prototxt). Did I use the wrong prototxt or something else go wrong? Errors are listed bellow:

Error parsing text-format caffe.NetParameter: 4539:22: Message type "caffe.LayerParameter" has no field named "roi_pooling_param".
F1225 08:07:01.111474 1430 upgrade_proto.cpp:90] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: ./deploy_resnet101_normpython.prototxt

Thank you!

can we access to the pretrained model #1

Description

Metadata

Assignees

Labels

Projects

Milestone

Relationships

Development

Issue actions