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Commit ef307906 authored by Ross Girshick's avatar Ross Girshick
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add copyright notices in files

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README.md
View file @ ef307906
......@@ -161,10 +161,10 @@ As an example, let's see how you would fine-tune a CNN for detection on PASCAL V
0. Change directories to `external/caffe/examples/pascal-finetuning`
0. Execute the fine-tuning code (make sure to replace `/path/to/rcnn` with the actual path to where R-CNN is installed):
<pre>
GLOG_logtostderr=1 ../../build/tools/finetune_net.bin \
pascal_finetune_solver.prototxt \
/path/to/rcnn/data/caffe_nets/ilsvrc_2012_train_iter_310k 2>&1 | tee log.txt
</pre>
<pre>
GLOG_logtostderr=1 ../../build/tools/finetune_net.bin \
pascal_finetune_solver.prototxt \
/path/to/rcnn/data/caffe_nets/ilsvrc_2012_train_iter_310k 2>&1 | tee log.txt
</pre>
**Note:** In my experiments, I've let fine-tuning run for 70k iterations, although with hindsight it appears that improvement in mAP saturates at around 40k iterations.
bbox_regression/rcnn_predict_bbox_regressor.m
View file @ ef307906
......@@ -11,6 +11,16 @@ function pred_boxes = ...
% Outputs
% pred_boxes Modified (hopefully better) ex_boxes
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
if isempty(ex_boxes)
pred_boxes = [];
return;
......
bbox_regression/rcnn_test_bbox_regressor.m
View file @ ef307906
function res = rcnn_test_bbox_regressor(imdb, rcnn_model, bbox_reg, suffix)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
conf = rcnn_config('sub_dir', imdb.name);
image_ids = imdb.image_ids;
......
bbox_regression/rcnn_train_bbox_regressor.m
View file @ ef307906
function bbox_reg = rcnn_train_bbox_regressor(imdb, rcnn_model, varargin)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
ip = inputParser;
ip.addRequired('imdb', @isstruct);
......
bbox_regression/vis_debug_bbox_pred.m
View file @ ef307906
function vis_debug_bbox_pred(imdb, rcnn_model, bbox_reg, cls)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
image_ids = imdb.image_ids;
min_overlap = 0.3;
......
finetuning/rcnn_make_window_file.m
View file @ ef307906
......@@ -2,6 +2,16 @@ function rcnn_make_window_file(imdb, out_dir)
% Makes a window file that can be used by the caffe WindowDataLayer for
% finetuning.
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
roidb = imdb.roidb_func(imdb);
% window_file format
......
finetuning/voc_2007_prototxt/pascal_finetune_solver.prototxt
View file @ ef307906
......@@ -11,4 +11,4 @@ max_iter: 100000
momentum: 0.9
weight_decay: 0.0005
snapshot: 10000
snapshot_prefix: "./snapshots/v1/finetune_voc_2007_trainval"
snapshot_prefix: "finetune_voc_2007_trainval"
rcnn_cache_pool5_features.m
View file @ ef307906
function rcnn_cache_pool5_features(imdb, varargin)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
ip = inputParser;
ip.addRequired('imdb', @isstruct);
ip.addOptional('start', 1, @isscalar);
......
rcnn_create_model.m
View file @ ef307906
function rcnn_model = rcnn_create_model(cnn_definition_file, cnn_binary_file, cache_name)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
if ~exist('cache_name', 'var') || isempty(cache_name)
cache_name = 'none';
......
rcnn_detect.m
View file @ ef307906
function dets = rcnn_detect(im, rcnn_model)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
% compute selective search candidates
fprintf('Computing candidate regions...');
......
rcnn_extract_regions.m
View file @ ef307906
......@@ -5,6 +5,16 @@ function [batches, batch_padding] = rcnn_extract_regions(im, boxes, rcnn_model)
% (format: BGR channel order; single precision; mean subtracted;
% dimensions from fastest to slowest: width, height, channels, batch_index)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
% convert image to BGR and single
im = single(im(:,:,[3 2 1]));
num_boxes = size(boxes, 1);
......
rcnn_feature_stats.m
View file @ ef307906
function [mean_norm, stdd] = rcnn_feature_stats(imdb, layer, rcnn_model)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
conf = rcnn_config('sub_dir', imdb.name);
save_file = sprintf('%s/feature_stats_%s_layer_%d_%s.mat', ...
......
rcnn_features.m
View file @ ef307906
function feat = rcnn_features(im, boxes, rcnn_model)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
% make sure that caffe has been initialized for this model
if rcnn_model.cnn.init_key ~= caffe('get_init_key')
......
rcnn_im_crop.m
View file @ ef307906
function window = rcnn_im_crop(im, bbox, crop_mode, crop_size, padding, image_mean)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
use_square = false;
if strcmp(crop_mode, 'square')
......
rcnn_load_cached_pool5_features.m
View file @ ef307906
function d = rcnn_load_cached_pool5_features(cache_name, imdb_name, id)
% loads feat_cache/[cache_name]/[split]/[id].mat
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
file = sprintf('./feat_cache/%s/%s/%s', cache_name, imdb_name, id);
if exist([file '.mat'], 'file')
......
rcnn_load_model.m
View file @ ef307906
function rcnn_model = rcnn_load_model(rcnn_model_or_file, use_gpu)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
if isstr(rcnn_model_or_file)
assert(exist(rcnn_model_or_file, 'file') ~= 0);
......
rcnn_pool5_to_fcX.m
View file @ ef307906
function feat = rcnn_pool5_to_fcX(feat, layer, rcnn_model)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
% no-op for layer <= 5
if layer > 5
......
rcnn_test.m
View file @ ef307906
function res = rcnn_test(rcnn_model, imdb, suffix)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
conf = rcnn_config('sub_dir', imdb.name);
image_ids = imdb.image_ids;
......
selective_search/op_selective_search_boxes.m
View file @ ef307906
function result = op_selective_search_boxes(first_el, last_el, imdb)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
fast_mode = true;
mean_num = 0;
......
selective_search/selective_search_boxes_batch.m
View file @ ef307906
function [images, boxes] = selective_search_boxes_batch(imdb)
% AUTORIGHTS
% ---------------------------------------------------------
% Copyright (c) 2014, Ross Girshick
%
% This file is part of the R-CNN code and is available
% under the terms of the Simplified BSD License provided in
% LICENSE. Please retain this notice and LICENSE if you use
% this file (or any portion of it) in your project.
% ---------------------------------------------------------
fast_mode = true;
......
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