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add CropLayer for cropping one blob to another using induced coordinates
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longjon committed Jan 11, 2015
1 parent 6f8c677 commit f71b51a
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Showing 4 changed files with 223 additions and 1 deletion.
35 changes: 35 additions & 0 deletions include/caffe/vision_layers.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -453,6 +453,41 @@ class CuDNNPoolingLayer : public PoolingLayer<Dtype> {
};
#endif

template <typename Dtype>
class CropLayer : public Layer<Dtype> {
public:
explicit CropLayer(const LayerParameter& param)
: Layer<Dtype>(param) {}
virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top);
virtual void Reshape(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top);

virtual inline LayerParameter_LayerType type() const {
return LayerParameter_LayerType_CROP;
}
virtual inline int ExactNumBottomBlobs() const { return 2; }
virtual inline int ExactNumTopBlobs() const { return 1; }
virtual inline DiagonalAffineMap<Dtype> coord_map() {
vector<pair<Dtype, Dtype> > coefs;
coefs.push_back(make_pair(1, - crop_h_));
coefs.push_back(make_pair(1, - crop_w_));
return DiagonalAffineMap<Dtype>(coefs);
}

protected:
virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top);
virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top);
virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);

int crop_h_, crop_w_;
};

} // namespace caffe

#endif // CAFFE_VISION_LAYERS_HPP_
126 changes: 126 additions & 0 deletions src/caffe/layers/crop_layer.cpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,126 @@
#include <algorithm>
#include <map>
#include <set>
#include <vector>

#include "caffe/layer.hpp"
#include "caffe/net.hpp"
#include "caffe/vision_layers.hpp"

namespace caffe {

template <typename Dtype>
void CropLayer<Dtype>::LayerSetUp(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
// Construct a map from top blobs to layer inds, skipping over in-place
// connections.
map<Blob<Dtype>*, int> down_map;
for (int layer_ind = 0; layer_ind < this->net_->top_vecs().size();
++layer_ind) {
vector<Blob<Dtype>*> tops = this->net_->top_vecs()[layer_ind];
for (int top_ind = 0; top_ind < tops.size(); ++top_ind) {
if (down_map.find(tops[top_ind]) == down_map.end()) {
down_map[tops[top_ind]] = layer_ind;
}
}
}
// Walk back from the first bottom, keeping track of all the blobs we pass.
set<Blob<Dtype>*> path_blobs;
Blob<Dtype>* blob = bottom[0];
int layer_ind;
// TODO this logic can be simplified if all blobs are tops
path_blobs.insert(blob);
while (down_map.find(blob) != down_map.end()) {
layer_ind = down_map[blob];
if (this->net_->bottom_vecs()[layer_ind].size() == 0) {
break;
}
blob = this->net_->bottom_vecs()[layer_ind][0];
path_blobs.insert(blob);
}
// Now walk back from the second bottom, until we find a blob of intersection.
Blob<Dtype>* inter_blob = bottom[1];
while (path_blobs.find(inter_blob) == path_blobs.end()) {
CHECK(down_map.find(inter_blob) != down_map.end())
<< "Cannot align apparently disconnected blobs.";
layer_ind = down_map[inter_blob];
CHECK_GT(this->net_->bottom_vecs()[layer_ind].size(), 0)
<< "Cannot align apparently disconnected blobs.";
inter_blob = this->net_->bottom_vecs()[layer_ind][0];
}
// Compute the coord map from the blob of intersection to each bottom.
vector<DiagonalAffineMap<Dtype> > coord_maps(2,
DiagonalAffineMap<Dtype>::identity(2));
for (int i = 0; i < 2; ++i) {
for (Blob<Dtype>* blob = bottom[i]; blob != inter_blob;
blob = this->net_->bottom_vecs()[down_map[blob]][0]) {
shared_ptr<Layer<Dtype> > layer = this->net_->layers()[down_map[blob]];
coord_maps[i] = coord_maps[i].compose(layer->coord_map());
}
}
// Compute the mapping from first bottom coordinates to second.
DiagonalAffineMap<Dtype> crop_map =
coord_maps[1].compose(coord_maps[0].inv());
for (int i = 0; i < 2; ++i) {
// Check for scale mismatch (unfortunately, CHECK_DOUBLE_EQ does not
// support a message like the other CHECKs).
CHECK_DOUBLE_EQ(crop_map.coefs()[i].first, 1);
CHECK_LE(crop_map.coefs()[i].second, 0) << "Negative crop width.";
// Check that the crop width is an integer.
CHECK_DOUBLE_EQ(crop_map.coefs()[i].second,
round(crop_map.coefs()[i].second));
}
crop_h_ = - round(crop_map.coefs()[0].second);
crop_w_ = - round(crop_map.coefs()[1].second);
}

template <typename Dtype>
void CropLayer<Dtype>::Reshape(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
top[0]->Reshape(bottom[0]->num(), bottom[0]->channels(), bottom[1]->height(),
bottom[1]->width());
}

template <typename Dtype>
void CropLayer<Dtype>::Forward_cpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
const Dtype* bottom_data = bottom[0]->cpu_data();
Dtype* top_data = top[0]->mutable_cpu_data();
for (int n = 0; n < top[0]->num(); ++n) {
for (int c = 0; c < top[0]->channels(); ++c) {
for (int h = 0; h < top[0]->height(); ++h) {
caffe_copy(top[0]->width(),
bottom_data + bottom[0]->offset(n, c, crop_h_ + h, crop_w_),
top_data + top[0]->offset(n, c, h));
}
}
}
}

template <typename Dtype>
void CropLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
const Dtype* top_diff = top[0]->cpu_diff();
Dtype* bottom_diff = bottom[0]->mutable_cpu_diff();
if (propagate_down[0]) {
caffe_set(bottom[0]->count(), static_cast<Dtype>(0), bottom_diff);
for (int n = 0; n < top[0]->num(); ++n) {
for (int c = 0; c < top[0]->channels(); ++c) {
for (int h = 0; h < top[0]->height(); ++h) {
caffe_copy(top[0]->width(),
top_diff + top[0]->offset(n, c, h),
bottom_diff + bottom[0]->offset(n, c, crop_h_ + h, crop_w_));
}
}
}
}
}

#ifdef CPU_ONLY
STUB_GPU(CropLayer);
#endif

INSTANTIATE_CLASS(CropLayer);
REGISTER_LAYER_CLASS(CROP, CropLayer);

} // namespace caffe
60 changes: 60 additions & 0 deletions src/caffe/layers/crop_layer.cu
Original file line number Diff line number Diff line change
@@ -0,0 +1,60 @@
#include <vector>

#include "caffe/vision_layers.hpp"

namespace caffe {

// Copy (one line per thread) from one array to another, with arbitrary
// strides in the last two dimensions.
template <typename Dtype>
__global__ void copy_kernel(const int n, const int height, const int width,
const int src_outer_stride, const int src_inner_stride,
const int dest_outer_stride, const int dest_inner_stride,
const Dtype* src, Dtype* dest) {
CUDA_KERNEL_LOOP(index, n) {
int src_start = index / height * src_outer_stride
+ index % height * src_inner_stride;
int dest_start = index / height * dest_outer_stride
+ index % height * dest_inner_stride;
for (int i = 0; i < width; ++i) {
dest[dest_start + i] = src[src_start + i];
}
}
}

template <typename Dtype>
void CropLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
const Dtype* bottom_data = bottom[0]->gpu_data();
Dtype* top_data = top[0]->mutable_gpu_data();
const int lines = top[0]->count() / top[0]->width();

// NOLINT_NEXT_LINE(whitespace/operators)
copy_kernel<<<CAFFE_GET_BLOCKS(lines), CAFFE_CUDA_NUM_THREADS>>>(
lines, top[0]->height(), top[0]->width(),
bottom[0]->height() * bottom[0]->width(), bottom[0]->width(),
top[0]->height() * top[0]->width(), top[0]->width(),
bottom_data + bottom[0]->offset(0, 0, crop_h_, crop_w_), top_data);
}

template <typename Dtype>
void CropLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
const Dtype* top_diff = top[0]->gpu_diff();
Dtype* bottom_diff = bottom[0]->mutable_gpu_diff();
const int lines = top[0]->count() / top[0]->width();

if (propagate_down[0]) {
caffe_gpu_set(bottom[0]->count(), static_cast<Dtype>(0), bottom_diff);
// NOLINT_NEXT_LINE(whitespace/operators)
copy_kernel<<<CAFFE_GET_BLOCKS(lines), CAFFE_CUDA_NUM_THREADS>>>(
lines, top[0]->height(), top[0]->width(),
top[0]->height() * top[0]->width(), top[0]->width(),
bottom[0]->height() * bottom[0]->width(), bottom[0]->width(),
top_diff, bottom_diff + bottom[0]->offset(0, 0, crop_h_, crop_w_));
}
}

INSTANTIATE_LAYER_GPU_FUNCS(CropLayer);

} // namespace caffe
3 changes: 2 additions & 1 deletion src/caffe/proto/caffe.proto
Original file line number Diff line number Diff line change
Expand Up @@ -227,7 +227,7 @@ message LayerParameter {
// line above the enum. Update the next available ID when you add a new
// LayerType.
//
// LayerType next available ID: 40 (last added: DECONVOLUTION)
// LayerType next available ID: 41 (last added: CROP)
enum LayerType {
// "NONE" layer type is 0th enum element so that we don't cause confusion
// by defaulting to an existent LayerType (instead, should usually error if
Expand All @@ -240,6 +240,7 @@ message LayerParameter {
CONCAT = 3;
CONTRASTIVE_LOSS = 37;
CONVOLUTION = 4;
CROP = 40;
DATA = 5;
DECONVOLUTION = 39;
DROPOUT = 6;
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