From fed6d6e31d819ecae21e9c3b9315b5877deb3f42 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 22 Sep 2015 01:18:51 +0000
Subject: [PATCH] idk man
---
src/region_layer.c | 172 +++++++++++++++++++++++++++++----------------------------
1 files changed, 87 insertions(+), 85 deletions(-)
diff --git a/src/region_layer.c b/src/region_layer.c
index d65c1a8..ecb89c6 100644
--- a/src/region_layer.c
+++ b/src/region_layer.c
@@ -44,15 +44,20 @@
int locations = l.side*l.side;
int i,j;
memcpy(l.output, state.input, l.outputs*l.batch*sizeof(float));
- for(i = 0; i < l.batch*locations; ++i){
- int index = i*((1+l.coords)*l.n + l.classes);
- if(l.softmax){
- activate_array(l.output + index, l.n*(1+l.coords), LOGISTIC);
- int offset = l.n*(1+l.coords);
- softmax_array(l.output + index + offset, l.classes,
- l.output + index + offset);
+ int b;
+ if (l.softmax){
+ for(b = 0; b < l.batch; ++b){
+ int index = b*l.inputs;
+ for (i = 0; i < locations; ++i) {
+ int offset = i*l.classes;
+ softmax_array(l.output + index + offset, l.classes,
+ l.output + index + offset);
+ }
+ int offset = locations*l.classes;
+ activate_array(l.output + index + offset, locations*l.n*(1+l.coords), LOGISTIC);
}
}
+
if(state.train){
float avg_iou = 0;
float avg_cat = 0;
@@ -62,94 +67,91 @@
*(l.cost) = 0;
int size = l.inputs * l.batch;
memset(l.delta, 0, size * sizeof(float));
- for (i = 0; i < l.batch*locations; ++i) {
- int index = i*((1+l.coords)*l.n + l.classes);
- for(j = 0; j < l.n; ++j){
- int prob_index = index + j*(1 + l.coords);
- l.delta[prob_index] = (1./l.n)*(0-l.output[prob_index]);
- if(l.softmax){
- l.delta[prob_index] = 1./(l.n*l.side)*(0-l.output[prob_index]);
- }
- *(l.cost) += (1./l.n)*pow(l.output[prob_index], 2);
- //printf("%f\n", l.output[prob_index]);
- avg_anyobj += l.output[prob_index];
- }
-
- int truth_index = i*(1 + l.coords + l.classes);
- int best_index = -1;
- float best_iou = 0;
- float best_rmse = 4;
-
- int bg = !state.truth[truth_index];
- if(bg) {
- continue;
- }
-
- int class_index = index + l.n*(1+l.coords);
- for(j = 0; j < l.classes; ++j) {
- l.delta[class_index+j] = state.truth[truth_index+1+j] - l.output[class_index+j];
- *(l.cost) += pow(state.truth[truth_index+1+j] - l.output[class_index+j], 2);
- if(state.truth[truth_index + 1 + j]) avg_cat += l.output[class_index+j];
- }
- truth_index += l.classes + 1;
- box truth = {state.truth[truth_index+0], state.truth[truth_index+1], state.truth[truth_index+2], state.truth[truth_index+3]};
- truth.x /= l.side;
- truth.y /= l.side;
-
- for(j = 0; j < l.n; ++j){
- int out_index = index + j*(1+l.coords);
- box out = {l.output[out_index+1], l.output[out_index+2], l.output[out_index+3], l.output[out_index+4]};
-
- out.x /= l.side;
- out.y /= l.side;
- if (l.sqrt){
- out.w = out.w*out.w;
- out.h = out.h*out.h;
+ for (b = 0; b < l.batch; ++b){
+ int index = b*l.inputs;
+ for (i = 0; i < locations; ++i) {
+ int truth_index = (b*locations + i)*(1+l.coords+l.classes);
+ int is_obj = state.truth[truth_index];
+ for (j = 0; j < l.n; ++j) {
+ int p_index = index + locations*l.classes + i*l.n + j;
+ l.delta[p_index] = l.noobject_scale*(0 - l.output[p_index]);
+ *(l.cost) += l.noobject_scale*pow(l.output[p_index], 2);
+ avg_anyobj += l.output[p_index];
}
- float iou = box_iou(out, truth);
- float rmse = box_rmse(out, truth);
- if(best_iou > 0 || iou > 0){
- if(iou > best_iou){
- best_iou = iou;
- best_index = j;
+ int best_index = -1;
+ float best_iou = 0;
+ float best_rmse = 4;
+
+ if (!is_obj) continue;
+
+ int class_index = index + i*l.classes;
+ for(j = 0; j < l.classes; ++j) {
+ l.delta[class_index+j] = l.class_scale * (state.truth[truth_index+1+j] - l.output[class_index+j]);
+ *(l.cost) += l.class_scale * pow(state.truth[truth_index+1+j] - l.output[class_index+j], 2);
+ if(state.truth[truth_index + 1 + j]) avg_cat += l.output[class_index+j];
+ }
+
+ box truth = float_to_box(state.truth + truth_index + 1 + l.classes);
+ truth.x /= l.side;
+ truth.y /= l.side;
+
+ for(j = 0; j < l.n; ++j){
+ int box_index = index + locations*(l.classes + l.n) + (i*l.n + j) * l.coords;
+ box out = float_to_box(l.output + box_index);
+ out.x /= l.side;
+ out.y /= l.side;
+
+ if (l.sqrt){
+ out.w = out.w*out.w;
+ out.h = out.h*out.h;
}
- }else{
- if(rmse < best_rmse){
- best_rmse = rmse;
- best_index = j;
+
+ float iou = box_iou(out, truth);
+ float rmse = box_rmse(out, truth);
+ if(best_iou > 0 || iou > 0){
+ if(iou > best_iou){
+ best_iou = iou;
+ best_index = j;
+ }
+ }else{
+ if(rmse < best_rmse){
+ best_rmse = rmse;
+ best_index = j;
+ }
}
}
- }
- //printf("%d", best_index);
- int in_index = index + best_index*(1+l.coords);
- *(l.cost) -= pow(l.output[in_index], 2);
- *(l.cost) += pow(1-l.output[in_index], 2);
- avg_obj += l.output[in_index];
- l.delta[in_index+0] = (1.-l.output[in_index]);
- if(l.softmax){
- l.delta[in_index+0] = 5*(1.-l.output[in_index]);
- }
- //printf("%f\n", l.output[in_index]);
+ int p_index = index + locations*l.classes + i*l.n + best_index;
+ *(l.cost) -= l.noobject_scale * pow(l.output[p_index], 2);
+ *(l.cost) += l.object_scale * pow(1-l.output[p_index], 2);
+ avg_obj += l.output[p_index];
+ l.delta[p_index+0] = l.object_scale * (1.-l.output[p_index]);
- l.delta[in_index+1] = 5*(state.truth[truth_index+0] - l.output[in_index+1]);
- l.delta[in_index+2] = 5*(state.truth[truth_index+1] - l.output[in_index+2]);
- if(l.sqrt){
- l.delta[in_index+3] = 5*(sqrt(state.truth[truth_index+2]) - l.output[in_index+3]);
- l.delta[in_index+4] = 5*(sqrt(state.truth[truth_index+3]) - l.output[in_index+4]);
- }else{
- l.delta[in_index+3] = 5*(state.truth[truth_index+2] - l.output[in_index+3]);
- l.delta[in_index+4] = 5*(state.truth[truth_index+3] - l.output[in_index+4]);
- }
+ if(l.rescore){
+ l.delta[p_index+0] = l.object_scale * (best_iou - l.output[p_index]);
+ }
- *(l.cost) += pow(1-best_iou, 2);
- avg_iou += best_iou;
- ++count;
+ int box_index = index + locations*(l.classes + l.n) + (i*l.n + best_index) * l.coords;
+ int tbox_index = truth_index + 1 + l.classes;
+ l.delta[box_index+0] = l.coord_scale*(state.truth[tbox_index + 0] - l.output[box_index + 0]);
+ l.delta[box_index+1] = l.coord_scale*(state.truth[tbox_index + 1] - l.output[box_index + 1]);
+ l.delta[box_index+2] = l.coord_scale*(state.truth[tbox_index + 2] - l.output[box_index + 2]);
+ l.delta[box_index+3] = l.coord_scale*(state.truth[tbox_index + 3] - l.output[box_index + 3]);
+ if(l.sqrt){
+ l.delta[box_index+2] = l.coord_scale*(sqrt(state.truth[tbox_index + 2]) - l.output[box_index + 2]);
+ l.delta[box_index+3] = l.coord_scale*(sqrt(state.truth[tbox_index + 3]) - l.output[box_index + 3]);
+ }
+
+ *(l.cost) += pow(1-best_iou, 2);
+ avg_iou += best_iou;
+ ++count;
+ }
if(l.softmax){
- gradient_array(l.output + index, l.n*(1+l.coords), LOGISTIC, l.delta + index);
+ gradient_array(l.output + index + locations*l.classes, locations*l.n*(1+l.coords),
+ LOGISTIC, l.delta + index + locations*l.classes);
}
}
- printf("Avg IOU: %f, Avg Cat Pred: %f, Avg Obj: %f, Avg Any: %f, count: %d\n", avg_iou/count, avg_cat/count, avg_obj/count, avg_anyobj/(l.batch*locations*l.n), count);
+ printf("Region Avg IOU: %f, Avg Cat Pred: %f, Avg Obj: %f, Avg Any: %f, count: %d\n", avg_iou/count, avg_cat/count, avg_obj/count, avg_anyobj/(l.batch*locations*l.n), count);
}
}
--
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