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name: "PNet"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 12
input_dim: 12
layer {
name: "conv1"
type: "Convolution"
name: "ONet"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 48
input_dim: 48
##################################
layer {
name: "conv1"
type: "Convolution"
name: "RNet"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 24
input_dim: 24
##########################
######################
@yhw-yhw
yhw-yhw / fpn_faster_rcnn_resnet101
Created December 21, 2017 00:44
caffe_model_prototxt fpn_faster_rcnn_resnet101
# Enter your network definition here.
# Use Shift+Enter to update the visualization.
# Faster-resnet-101-FPN
name: "ResNet-101-FPN"
layer {
name: 'input-data'
type: 'Python'
top: 'data'
top: 'im_info'
top: 'gt_boxes'
@yhw-yhw
yhw-yhw / fpn_faster_rcnn_vgg16
Last active December 19, 2017 15:17
caffe_model_prototxt fpn_faster_rcnn_vgg16
name: "VGG_ILSVRC_16_layers"
layer {
name: 'input-data'
type: 'Python'
top: 'data'
top: 'im_info'
top: 'gt_boxes'
python_param {
module: 'roi_data_layer.layer'
layer: 'RoIDataLayer'
@yhw-yhw
yhw-yhw / faster_rcnn_ResNet101_BN_SCALE_Merged
Last active December 19, 2017 15:16
caffe_model_prototxt faster_rcnn_resnet101_bn_scale
name: "ResNet101"
layer {
name: 'input-data'
type: 'Python'
top: 'data'
top: 'im_info'
top: 'gt_boxes'
python_param {
module: 'roi_data_layer.layer'
@yhw-yhw
yhw-yhw / faster_rcnn_resnet_end2end_ohem_train.prototxt
Last active December 19, 2017 15:16
caffe_model_prototxt for faster_rcnn_resnet101_with_ohem
name: "ResNet101"
layer {
name: 'input-data'
type: 'Python'
top: 'data'
top: 'im_info'
top: 'gt_boxes'
python_param {
module: 'roi_data_layer.layer'