From 08c7cf9c88befd845f00c00d85e40a9eead4b1b3 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Sun, 19 Jun 2016 21:28:15 +0000
Subject: [PATCH] no mean on input binarization
---
src/network.h | 20 +++++++++++++++++---
1 files changed, 17 insertions(+), 3 deletions(-)
diff --git a/src/network.h b/src/network.h
index 428ff52..15b58b8 100644
--- a/src/network.h
+++ b/src/network.h
@@ -3,15 +3,15 @@
#define NETWORK_H
#include "image.h"
-#include "detection_layer.h"
#include "layer.h"
#include "data.h"
typedef enum {
- CONSTANT, STEP, EXP, POLY, STEPS, SIG
+ CONSTANT, STEP, EXP, POLY, STEPS, SIG, RANDOM
} learning_rate_policy;
-typedef struct {
+typedef struct network{
+ float *workspace;
int n;
int batch;
int *seen;
@@ -28,6 +28,7 @@
float gamma;
float scale;
float power;
+ int time_steps;
int step;
int max_batches;
float *scales;
@@ -36,6 +37,8 @@
int inputs;
int h, w, c;
+ int max_crop;
+ int min_crop;
#ifdef GPU
float **input_gpu;
@@ -43,6 +46,16 @@
#endif
} network;
+typedef struct network_state {
+ float *truth;
+ float *input;
+ float *delta;
+ float *workspace;
+ int train;
+ int index;
+ network net;
+} network_state;
+
#ifdef GPU
float train_network_datum_gpu(network net, float *x, float *y);
float *network_predict_gpu(network net, float *input);
@@ -68,6 +81,7 @@
float train_network(network net, data d);
float train_network_batch(network net, data d, int n);
float train_network_sgd(network net, data d, int n);
+float train_network_datum(network net, float *x, float *y);
matrix network_predict_data(network net, data test);
float *network_predict(network net, float *input);
--
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