From 032acd408acd119a5bd5c132765fcdd6caedea6b Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 22 May 2018 13:38:04 +0000
Subject: [PATCH] Experimental reinforcement learning.
---
src/yolo_layer.c | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/src/yolo_layer.c b/src/yolo_layer.c
index b2443ba..a03c18b 100644
--- a/src/yolo_layer.c
+++ b/src/yolo_layer.c
@@ -55,7 +55,7 @@
l.delta_gpu = cuda_make_array(l.delta, batch*l.outputs);
#endif
- fprintf(stderr, "detection\n");
+ fprintf(stderr, "yolo\n");
srand(0);
return l;
@@ -112,7 +112,7 @@
void delta_yolo_class(float *output, float *delta, int index, int class_id, int classes, int stride, float *avg_cat, int focal_loss)
{
int n;
- if (delta[index]){
+ if (delta[index + stride*class_id]){
delta[index + stride*class_id] = 1 - output[index + stride*class_id];
if(avg_cat) *avg_cat += output[index + stride*class_id];
return;
--
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