mirror of https://github.com/AlexeyAB/darknet.git
AlexeyAB
7 years ago
parent
e16c901163
commit
fe44d3d0f2
13 changed files with 211 additions and 34 deletions
@ -1,8 +1,8 @@ |
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darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights 009460.jpg |
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rem darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights 009460.jpg |
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darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights -i 0 -thresh 0.1 dogr.jpg |
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darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights -i 0 -thresh 0.2 dogr.jpg |
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pause |
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After Width: | Height: | Size: 85 KiB |
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#include "reorg_old_layer.h" |
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#include "cuda.h" |
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#include "blas.h" |
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#include <stdio.h> |
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layer make_reorg_old_layer(int batch, int w, int h, int c, int stride, int reverse) |
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{ |
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layer l = {0}; |
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l.type = REORG_OLD; |
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l.batch = batch; |
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l.stride = stride; |
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l.h = h; |
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l.w = w; |
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l.c = c; |
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if(reverse){ |
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l.out_w = w*stride; |
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l.out_h = h*stride; |
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l.out_c = c/(stride*stride); |
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}else{ |
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l.out_w = w/stride; |
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l.out_h = h/stride; |
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l.out_c = c*(stride*stride); |
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} |
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l.reverse = reverse; |
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fprintf(stderr, "reorg_old /%2d %4d x%4d x%4d -> %4d x%4d x%4d\n", stride, w, h, c, l.out_w, l.out_h, l.out_c); |
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l.outputs = l.out_h * l.out_w * l.out_c; |
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l.inputs = h*w*c; |
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int output_size = l.out_h * l.out_w * l.out_c * batch; |
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l.output = calloc(output_size, sizeof(float)); |
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l.delta = calloc(output_size, sizeof(float)); |
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l.forward = forward_reorg_old_layer; |
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l.backward = backward_reorg_old_layer; |
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#ifdef GPU |
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l.forward_gpu = forward_reorg_old_layer_gpu; |
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l.backward_gpu = backward_reorg_old_layer_gpu; |
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l.output_gpu = cuda_make_array(l.output, output_size); |
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l.delta_gpu = cuda_make_array(l.delta, output_size); |
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#endif |
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return l; |
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} |
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void resize_reorg_old_layer(layer *l, int w, int h) |
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{ |
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int stride = l->stride; |
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int c = l->c; |
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l->h = h; |
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l->w = w; |
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if(l->reverse){ |
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l->out_w = w*stride; |
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l->out_h = h*stride; |
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l->out_c = c/(stride*stride); |
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}else{ |
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l->out_w = w/stride; |
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l->out_h = h/stride; |
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l->out_c = c*(stride*stride); |
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} |
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l->outputs = l->out_h * l->out_w * l->out_c; |
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l->inputs = l->outputs; |
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int output_size = l->outputs * l->batch; |
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l->output = realloc(l->output, output_size * sizeof(float)); |
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l->delta = realloc(l->delta, output_size * sizeof(float)); |
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#ifdef GPU |
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cuda_free(l->output_gpu); |
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cuda_free(l->delta_gpu); |
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l->output_gpu = cuda_make_array(l->output, output_size); |
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l->delta_gpu = cuda_make_array(l->delta, output_size); |
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#endif |
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} |
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void forward_reorg_old_layer(const layer l, network_state state) |
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{ |
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if (l.reverse) { |
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reorg_cpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output); |
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} |
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else { |
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reorg_cpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output); |
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} |
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} |
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void backward_reorg_old_layer(const layer l, network_state state) |
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{ |
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if (l.reverse) { |
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reorg_cpu(l.delta, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta); |
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} |
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else { |
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reorg_cpu(l.delta, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta); |
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} |
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} |
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#ifdef GPU |
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void forward_reorg_old_layer_gpu(layer l, network_state state) |
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{ |
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if (l.reverse) { |
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reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output_gpu); |
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} |
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else { |
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reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output_gpu); |
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} |
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} |
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void backward_reorg_old_layer_gpu(layer l, network_state state) |
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{ |
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if (l.reverse) { |
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reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta); |
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} |
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else { |
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reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta); |
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} |
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} |
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#endif |
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@ -0,0 +1,20 @@ |
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#ifndef REORG_OLD_LAYER_H |
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#define REORG_OLD_LAYER_H |
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#include "image.h" |
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#include "cuda.h" |
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#include "layer.h" |
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#include "network.h" |
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layer make_reorg_old_layer(int batch, int h, int w, int c, int stride, int reverse); |
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void resize_reorg_old_layer(layer *l, int w, int h); |
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void forward_reorg_old_layer(const layer l, network_state state); |
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void backward_reorg_old_layer(const layer l, network_state state); |
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#ifdef GPU |
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void forward_reorg_old_layer_gpu(layer l, network_state state); |
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void backward_reorg_old_layer_gpu(layer l, network_state state); |
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#endif |
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#endif |
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