From fe4f01b1d8cce9762e47aaf42b6e17a3427a144b Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 20 Mar 2018 19:10:46 +0000
Subject: [PATCH] Fixed uses of WebCam for OpenCV 3.x

---
 src/parser.c |   93 +++++++++++++++++++++++++++++++++++-----------
 1 files changed, 70 insertions(+), 23 deletions(-)

diff --git a/src/parser.c b/src/parser.c
index cde06b4..9949c50 100644
--- a/src/parser.c
+++ b/src/parser.c
@@ -24,11 +24,13 @@
 #include "parser.h"
 #include "region_layer.h"
 #include "reorg_layer.h"
+#include "reorg_old_layer.h"
 #include "rnn_layer.h"
 #include "route_layer.h"
 #include "shortcut_layer.h"
 #include "softmax_layer.h"
 #include "utils.h"
+#include <stdint.h>
 
 typedef struct{
     char *type;
@@ -59,6 +61,7 @@
     if (strcmp(type, "[max]")==0
             || strcmp(type, "[maxpool]")==0) return MAXPOOL;
     if (strcmp(type, "[reorg]")==0) return REORG;
+	if (strcmp(type, "[reorg_old]") == 0) return REORG_OLD;
     if (strcmp(type, "[avg]")==0
             || strcmp(type, "[avgpool]")==0) return AVGPOOL;
     if (strcmp(type, "[dropout]")==0) return DROPOUT;
@@ -237,18 +240,18 @@
     int coords = option_find_int(options, "coords", 4);
     int classes = option_find_int(options, "classes", 20);
     int num = option_find_int(options, "num", 1);
+	int max_boxes = option_find_int_quiet(options, "max", 30);
 
-    params.w = option_find_int(options, "side", params.w);
-    params.h = option_find_int(options, "side", params.h);
-
-    layer l = make_region_layer(params.batch, params.w, params.h, num, classes, coords);
+    layer l = make_region_layer(params.batch, params.w, params.h, num, classes, coords, max_boxes);
     assert(l.outputs == params.inputs);
 
     l.log = option_find_int_quiet(options, "log", 0);
     l.sqrt = option_find_int_quiet(options, "sqrt", 0);
 
+	l.small_object = option_find_int_quiet(options, "small_object", 0);
     l.softmax = option_find_int(options, "softmax", 0);
-    l.max_boxes = option_find_int_quiet(options, "max",30);
+	l.focal_loss = option_find_int_quiet(options, "focal_loss", 0);
+    //l.max_boxes = option_find_int_quiet(options, "max",30);
     l.jitter = option_find_float(options, "jitter", .2);
     l.rescore = option_find_int_quiet(options, "rescore",0);
 
@@ -358,6 +361,23 @@
     return layer;
 }
 
+layer parse_reorg_old(list *options, size_params params)
+{
+	printf("\n reorg_old \n");
+	int stride = option_find_int(options, "stride", 1);
+	int reverse = option_find_int_quiet(options, "reverse", 0);
+
+	int batch, h, w, c;
+	h = params.h;
+	w = params.w;
+	c = params.c;
+	batch = params.batch;
+	if (!(h && w && c)) error("Layer before reorg layer must output image.");
+
+	layer layer = make_reorg_old_layer(batch, w, h, c, stride, reverse);
+	return layer;
+}
+
 maxpool_layer parse_maxpool(list *options, size_params params)
 {
     int stride = option_find_int(options, "stride",1);
@@ -534,6 +554,7 @@
     net->saturation = option_find_float_quiet(options, "saturation", 1);
     net->exposure = option_find_float_quiet(options, "exposure", 1);
     net->hue = option_find_float_quiet(options, "hue", 0);
+	net->power = option_find_float_quiet(options, "power", 4);
 
     if(!net->inputs && !(net->h && net->w && net->c)) error("No input parameters supplied");
 
@@ -573,7 +594,7 @@
         net->gamma = option_find_float(options, "gamma", 1);
         net->step = option_find_int(options, "step", 1);
     } else if (net->policy == POLY || net->policy == RANDOM){
-        net->power = option_find_float(options, "power", 1);
+        //net->power = option_find_float(options, "power", 1);
     }
     net->max_batches = option_find_int(options, "max_batches", 0);
 }
@@ -586,6 +607,11 @@
 
 network parse_network_cfg(char *filename)
 {
+	return parse_network_cfg_custom(filename, 0);
+}
+
+network parse_network_cfg_custom(char *filename, int batch)
+{
     list *sections = read_cfg(filename);
     node *n = sections->front;
     if(!n) error("Config file has no sections");
@@ -602,6 +628,7 @@
     params.w = net.w;
     params.c = net.c;
     params.inputs = net.inputs;
+	if (batch > 0) net.batch = batch;
     params.batch = net.batch;
     params.time_steps = net.time_steps;
     params.net = net;
@@ -650,7 +677,9 @@
         }else if(lt == MAXPOOL){
             l = parse_maxpool(options, params);
         }else if(lt == REORG){
-            l = parse_reorg(options, params);
+            l = parse_reorg(options, params);		}
+		else if (lt == REORG_OLD) {
+			l = parse_reorg_old(options, params);
         }else if(lt == AVGPOOL){
             l = parse_avgpool(options, params);
         }else if(lt == ROUTE){
@@ -668,6 +697,8 @@
         }else{
             fprintf(stderr, "Type not recognized: %s\n", s->type);
         }
+        l.onlyforward = option_find_int_quiet(options, "onlyforward", 0);
+        l.stopbackward = option_find_int_quiet(options, "stopbackward", 0);
         l.dontload = option_find_int_quiet(options, "dontload", 0);
         l.dontloadscales = option_find_int_quiet(options, "dontloadscales", 0);
         option_unused(options);
@@ -701,6 +732,8 @@
     return net;
 }
 
+
+
 list *read_cfg(char *filename)
 {
     FILE *file = fopen(filename, "r");
@@ -829,7 +862,7 @@
     }
 #endif
     fprintf(stderr, "Saving weights to %s\n", filename);
-    FILE *fp = fopen(filename, "w");
+    FILE *fp = fopen(filename, "wb");
     if(!fp) file_error(filename);
 
     int major = 0;
@@ -969,23 +1002,28 @@
         //return;
     }
     int num = l.n*l.c*l.size*l.size;
-    if(0){
-        fread(l.biases + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
-        if (l.batch_normalize && (!l.dontloadscales)){
-            fread(l.scales + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
-            fread(l.rolling_mean + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
-            fread(l.rolling_variance + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
+    fread(l.biases, sizeof(float), l.n, fp);
+    if (l.batch_normalize && (!l.dontloadscales)){
+        fread(l.scales, sizeof(float), l.n, fp);
+        fread(l.rolling_mean, sizeof(float), l.n, fp);
+        fread(l.rolling_variance, sizeof(float), l.n, fp);
+        if(0){
+            int i;
+            for(i = 0; i < l.n; ++i){
+                printf("%g, ", l.rolling_mean[i]);
+            }
+            printf("\n");
+            for(i = 0; i < l.n; ++i){
+                printf("%g, ", l.rolling_variance[i]);
+            }
+            printf("\n");
         }
-        fread(l.weights + ((l.n != 1374)?0:5*l.c*l.size*l.size), sizeof(float), num, fp);
-    }else{
-        fread(l.biases, sizeof(float), l.n, fp);
-        if (l.batch_normalize && (!l.dontloadscales)){
-            fread(l.scales, sizeof(float), l.n, fp);
-            fread(l.rolling_mean, sizeof(float), l.n, fp);
-            fread(l.rolling_variance, sizeof(float), l.n, fp);
+        if(0){
+            fill_cpu(l.n, 0, l.rolling_mean, 1);
+            fill_cpu(l.n, 0, l.rolling_variance, 1);
         }
-        fread(l.weights, sizeof(float), num, fp);
     }
+    fread(l.weights, sizeof(float), num, fp);
     if(l.adam){
         fread(l.m, sizeof(float), num, fp);
         fread(l.v, sizeof(float), num, fp);
@@ -1021,7 +1059,16 @@
     fread(&major, sizeof(int), 1, fp);
     fread(&minor, sizeof(int), 1, fp);
     fread(&revision, sizeof(int), 1, fp);
-    fread(net->seen, sizeof(int), 1, fp);
+	if ((major * 10 + minor) >= 2) {
+		printf("\n seen 64 \n");
+		uint64_t iseen = 0;
+		fread(&iseen, sizeof(uint64_t), 1, fp);
+		*net->seen = iseen;
+	}
+	else {
+		printf("\n seen 32 \n");
+		fread(net->seen, sizeof(int), 1, fp);
+	}
     int transpose = (major > 1000) || (minor > 1000);
 
     int i;

--
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