From b8e6e80c6d411d05a9e09f1e3676eb9a7f3ea0e8 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Fri, 03 Aug 2018 11:35:03 +0000
Subject: [PATCH] Added spatial Yolo v3 yolov3-spp.cfg
---
src/crop_layer.c | 46 ++++++++++++++++++++++++++++++++++++----------
1 files changed, 36 insertions(+), 10 deletions(-)
diff --git a/src/crop_layer.c b/src/crop_layer.c
index 7b34084..11c59b4 100644
--- a/src/crop_layer.c
+++ b/src/crop_layer.c
@@ -10,6 +10,9 @@
return float_to_image(w,h,c,l.output);
}
+void backward_crop_layer(const crop_layer l, network_state state){}
+void backward_crop_layer_gpu(const crop_layer l, network_state state){}
+
crop_layer make_crop_layer(int batch, int h, int w, int c, int crop_height, int crop_width, int flip, float angle, float saturation, float exposure)
{
fprintf(stderr, "Crop Layer: %d x %d -> %d x %d x %d image\n", h,w,crop_height,crop_width,c);
@@ -19,33 +22,56 @@
l.h = h;
l.w = w;
l.c = c;
+ l.scale = (float)crop_height / h;
l.flip = flip;
l.angle = angle;
l.saturation = saturation;
l.exposure = exposure;
- l.crop_width = crop_width;
- l.crop_height = crop_height;
l.out_w = crop_width;
l.out_h = crop_height;
l.out_c = c;
l.inputs = l.w * l.h * l.c;
l.outputs = l.out_w * l.out_h * l.out_c;
- l.output = calloc(crop_width*crop_height * c*batch, sizeof(float));
+ l.output = calloc(l.outputs*batch, sizeof(float));
+ l.forward = forward_crop_layer;
+ l.backward = backward_crop_layer;
+
#ifdef GPU
- l.output_gpu = cuda_make_array(l.output, crop_width*crop_height*c*batch);
+ l.forward_gpu = forward_crop_layer_gpu;
+ l.backward_gpu = backward_crop_layer_gpu;
+ l.output_gpu = cuda_make_array(l.output, l.outputs*batch);
l.rand_gpu = cuda_make_array(0, l.batch*8);
#endif
return l;
}
+void resize_crop_layer(layer *l, int w, int h)
+{
+ l->w = w;
+ l->h = h;
+
+ l->out_w = l->scale*w;
+ l->out_h = l->scale*h;
+
+ l->inputs = l->w * l->h * l->c;
+ l->outputs = l->out_h * l->out_w * l->out_c;
+
+ l->output = realloc(l->output, l->batch*l->outputs*sizeof(float));
+ #ifdef GPU
+ cuda_free(l->output_gpu);
+ l->output_gpu = cuda_make_array(l->output, l->outputs*l->batch);
+ #endif
+}
+
+
void forward_crop_layer(const crop_layer l, network_state state)
{
int i,j,c,b,row,col;
int index;
int count = 0;
int flip = (l.flip && rand()%2);
- int dh = rand()%(l.h - l.crop_height + 1);
- int dw = rand()%(l.w - l.crop_width + 1);
+ int dh = rand()%(l.h - l.out_h + 1);
+ int dw = rand()%(l.w - l.out_w + 1);
float scale = 2;
float trans = -1;
if(l.noadjust){
@@ -54,13 +80,13 @@
}
if(!state.train){
flip = 0;
- dh = (l.h - l.crop_height)/2;
- dw = (l.w - l.crop_width)/2;
+ dh = (l.h - l.out_h)/2;
+ dw = (l.w - l.out_w)/2;
}
for(b = 0; b < l.batch; ++b){
for(c = 0; c < l.c; ++c){
- for(i = 0; i < l.crop_height; ++i){
- for(j = 0; j < l.crop_width; ++j){
+ for(i = 0; i < l.out_h; ++i){
+ for(j = 0; j < l.out_w; ++j){
if(flip){
col = l.w - dw - j - 1;
}else{
--
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