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 | 9 +++++++--
1 files changed, 7 insertions(+), 2 deletions(-)
diff --git a/src/network.h b/src/network.h
index 4c108df..15b58b8 100644
--- a/src/network.h
+++ b/src/network.h
@@ -5,13 +5,13 @@
#include "image.h"
#include "layer.h"
#include "data.h"
-#include "params.h"
typedef enum {
- CONSTANT, STEP, EXP, POLY, STEPS, SIG
+ CONSTANT, STEP, EXP, POLY, STEPS, SIG, RANDOM
} learning_rate_policy;
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;
@@ -47,6 +50,7 @@
float *truth;
float *input;
float *delta;
+ float *workspace;
int train;
int index;
network net;
@@ -77,6 +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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