Finetune caffe_net with Imagenet detection sets

[XingChao Peng]

Basically, I am trying to finetune a caffe_net with 182 categories from Imagenet Det(I remove 18 categories) under the framework of RCNN-finetune. So I run the rcnn_make_window.m to  make windows for training data and val data.

But I constantly get the error:

The last layer in pascal_finetune_train.prototxt goes like:

layers {

  bottom: "fc7"

  top: "fc8_imagenet"

  name: "fc8_imagenet"

  type: INNER_PRODUCT

  blobs_lr: 10

  blobs_lr: 20

  weight_decay: 1

  weight_decay: 0

  inner_product_param {

    num_output: 183

    weight_filler {

      type: "gaussian"

      std: 0.01

    }

    bias_filler {

      type: "constant"

      value: 0

    }

  }

}