From 54d761cf9efa6c77e96855ea80156b0fcd81195d Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 22 Sep 2015 22:40:15 +0000
Subject: [PATCH] resize image width 1 ><

---
 src/detection_layer.c |   43 +++++++++++++++++++++++--------------------
 1 files changed, 23 insertions(+), 20 deletions(-)

diff --git a/src/detection_layer.c b/src/detection_layer.c
index 9ef89d9..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];
+                    }
                 }
             }
         }
@@ -141,20 +142,20 @@
         float scale = 1;
         float latent_delta = 0;
         if(l.joint) scale = state.input[in_i++];
-        else if (l.objectness)   state.delta[in_i++] = -l.delta[out_i++];
-        else if (l.background) state.delta[in_i++] = scale*l.delta[out_i++];
+        else if (l.objectness)   state.delta[in_i++] += -l.delta[out_i++];
+        else if (l.background) state.delta[in_i++] += scale*l.delta[out_i++];
         for(j = 0; j < l.classes; ++j){
             latent_delta += state.input[in_i]*l.delta[out_i];
-            state.delta[in_i++] = scale*l.delta[out_i++];
+            state.delta[in_i++] += scale*l.delta[out_i++];
         }
 
         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){
-            state.delta[in_i++] = l.delta[out_i++];
+        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;
+        if(l.joint) state.delta[in_i-l.coords-l.classes-l.joint] += latent_delta;
     }
 }
 
@@ -198,11 +199,13 @@
     cpu_state.truth = truth_cpu;
     cpu_state.delta = delta_cpu;
 
-    cuda_pull_array(state.input, in_cpu, l.batch*l.inputs);
+    cuda_pull_array(state.input, in_cpu,    l.batch*l.inputs);
+    cuda_pull_array(state.delta, delta_cpu, l.batch*l.inputs);
     cuda_pull_array(l.delta_gpu, l.delta, l.batch*outputs);
     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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