From c53e03348c65462bcba33f6352087dd6b9268e8f Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Wed, 16 Sep 2015 21:12:10 +0000
Subject: [PATCH] yolo working w/ regions
---
src/detection_layer.c | 30 ++++++++++++++++--------------
1 files changed, 16 insertions(+), 14 deletions(-)
diff --git a/src/detection_layer.c b/src/detection_layer.c
index 6a25819..daeee04 100644
--- a/src/detection_layer.c
+++ b/src/detection_layer.c
@@ -39,8 +39,8 @@
l.output = calloc(batch*outputs, sizeof(float));
l.delta = calloc(batch*outputs, sizeof(float));
#ifdef GPU
- l.output_gpu = cuda_make_array(0, batch*outputs);
- l.delta_gpu = cuda_make_array(0, batch*outputs);
+ l.output_gpu = cuda_make_array(l.output, batch*outputs);
+ l.delta_gpu = cuda_make_array(l.delta, batch*outputs);
#endif
fprintf(stderr, "Detection Layer\n");
@@ -85,11 +85,12 @@
int size = get_detection_layer_output_size(l) * l.batch;
memset(l.delta, 0, size * sizeof(float));
for (i = 0; i < l.batch*locations; ++i) {
- int classes = l.objectness+l.classes;
+ int classes = (l.objectness || l.background)+l.classes;
int offset = i*(classes+l.coords);
for (j = offset; j < offset+classes; ++j) {
*(l.cost) += pow(state.truth[j] - l.output[j], 2);
l.delta[j] = state.truth[j] - l.output[j];
+ if(l.background && j == offset) l.delta[j] *= .1;
}
box truth;
@@ -97,6 +98,7 @@
truth.y = state.truth[j+1]/7;
truth.w = pow(state.truth[j+2], 2);
truth.h = pow(state.truth[j+3], 2);
+
box out;
out.x = l.output[j+0]/7;
out.y = l.output[j+1]/7;
@@ -107,13 +109,6 @@
float iou = box_iou(out, truth);
avg_iou += iou;
++count;
- dbox delta = diou(out, truth);
-
- l.delta[j+0] = 10 * delta.dx/7;
- l.delta[j+1] = 10 * delta.dy/7;
- l.delta[j+2] = 10 * delta.dw * 2 * sqrt(out.w);
- l.delta[j+3] = 10 * delta.dh * 2 * sqrt(out.h);
-
*(l.cost) += pow((1-iou), 2);
l.delta[j+0] = 4 * (state.truth[j+0] - l.output[j+0]);
@@ -121,9 +116,15 @@
l.delta[j+2] = 4 * (state.truth[j+2] - l.output[j+2]);
l.delta[j+3] = 4 * (state.truth[j+3] - l.output[j+3]);
if(l.rescore){
- for (j = offset; j < offset+classes; ++j) {
- if(state.truth[j]) state.truth[j] = iou;
- l.delta[j] = state.truth[j] - l.output[j];
+ if(l.objectness){
+ state.truth[offset] = iou;
+ l.delta[offset] = state.truth[offset] - l.output[offset];
+ }
+ else{
+ for (j = offset; j < offset+classes; ++j) {
+ if(state.truth[j]) state.truth[j] = iou;
+ l.delta[j] = state.truth[j] - l.output[j];
+ }
}
}
}
@@ -151,7 +152,7 @@
if (l.objectness) {
}else if (l.background) gradient_array(l.output + out_i, l.coords, LOGISTIC, l.delta + out_i);
- for(j = 0; j < l.coords; ++j){
+ for (j = 0; j < l.coords; ++j){
state.delta[in_i++] += l.delta[out_i++];
}
if(l.joint) state.delta[in_i-l.coords-l.classes-l.joint] += latent_delta;
@@ -204,6 +205,7 @@
backward_detection_layer(l, cpu_state);
cuda_push_array(state.delta, delta_cpu, l.batch*l.inputs);
+ if (truth_cpu) free(truth_cpu);
free(in_cpu);
free(delta_cpu);
}
--
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