From 168af40fe9a3cc81c6ee16b3e81f154780c36bdb Mon Sep 17 00:00:00 2001
From: Scheaven <xuepengqiang>
Date: 星期四, 03 六月 2021 15:03:27 +0800
Subject: [PATCH] up new v4
---
lib/detecter_tools/darknet/swag.c | 174 +++++++++++++++++++++++++++++-----------------------------
1 files changed, 87 insertions(+), 87 deletions(-)
diff --git a/lib/detecter_tools/darknet/swag.c b/lib/detecter_tools/darknet/swag.c
index 7ec09c8..210f03f 100644
--- a/lib/detecter_tools/darknet/swag.c
+++ b/lib/detecter_tools/darknet/swag.c
@@ -1,87 +1,87 @@
-#include "network.h"
-#include "detection_layer.h"
-#include "cost_layer.h"
-#include "utils.h"
-#include "parser.h"
-#include "box.h"
-
-void train_swag(char *cfgfile, char *weightfile)
-{
- char *train_images = "data/voc.0712.trainval";
- char* backup_directory = "backup/";
- srand(time(0));
- char *base = basecfg(cfgfile);
- printf("%s\n", base);
- float avg_loss = -1;
- network net = parse_network_cfg(cfgfile);
- if(weightfile){
- load_weights(&net, weightfile);
- }
- printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
- int imgs = net.batch*net.subdivisions;
- int i = *net.seen/imgs;
- data train, buffer;
-
- layer l = net.layers[net.n - 1];
-
- int side = l.side;
- int classes = l.classes;
- float jitter = l.jitter;
-
- list *plist = get_paths(train_images);
- //int N = plist->size;
- char **paths = (char **)list_to_array(plist);
-
- load_args args = {0};
- args.w = net.w;
- args.h = net.h;
- args.paths = paths;
- args.n = imgs;
- args.m = plist->size;
- args.classes = classes;
- args.jitter = jitter;
- args.num_boxes = side;
- args.d = &buffer;
- args.type = REGION_DATA;
-
- pthread_t load_thread = load_data_in_thread(args);
- clock_t time;
- //while(i*imgs < N*120){
- while(get_current_batch(net) < net.max_batches){
- i += 1;
- time=clock();
- pthread_join(load_thread, 0);
- train = buffer;
- load_thread = load_data_in_thread(args);
-
- printf("Loaded: %lf seconds\n", sec(clock()-time));
-
- time=clock();
- float loss = train_network(net, train);
- if (avg_loss < 0) avg_loss = loss;
- avg_loss = avg_loss*.9 + loss*.1;
-
- printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", i, loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs);
- if(i%1000==0 || i == 600){
- char buff[256];
- sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);
- save_weights(net, buff);
- }
- free_data(train);
- }
- char buff[256];
- sprintf(buff, "%s/%s_final.weights", backup_directory, base);
- save_weights(net, buff);
-}
-
-void run_swag(int argc, char **argv)
-{
- if(argc < 4){
- fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
- return;
- }
-
- char *cfg = argv[3];
- char *weights = (argc > 4) ? argv[4] : 0;
- if(0==strcmp(argv[2], "train")) train_swag(cfg, weights);
-}
+#include "network.h"
+#include "detection_layer.h"
+#include "cost_layer.h"
+#include "utils.h"
+#include "parser.h"
+#include "box.h"
+
+void train_swag(char *cfgfile, char *weightfile)
+{
+ char *train_images = "data/voc.0712.trainval";
+ char* backup_directory = "backup/";
+ srand(time(0));
+ char *base = basecfg(cfgfile);
+ printf("%s\n", base);
+ float avg_loss = -1;
+ network net = parse_network_cfg(cfgfile);
+ if(weightfile){
+ load_weights(&net, weightfile);
+ }
+ printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
+ int imgs = net.batch*net.subdivisions;
+ int i = *net.seen/imgs;
+ data train, buffer;
+
+ layer l = net.layers[net.n - 1];
+
+ int side = l.side;
+ int classes = l.classes;
+ float jitter = l.jitter;
+
+ list *plist = get_paths(train_images);
+ //int N = plist->size;
+ char **paths = (char **)list_to_array(plist);
+
+ load_args args = {0};
+ args.w = net.w;
+ args.h = net.h;
+ args.paths = paths;
+ args.n = imgs;
+ args.m = plist->size;
+ args.classes = classes;
+ args.jitter = jitter;
+ args.num_boxes = side;
+ args.d = &buffer;
+ args.type = REGION_DATA;
+
+ pthread_t load_thread = load_data_in_thread(args);
+ clock_t time;
+ //while(i*imgs < N*120){
+ while(get_current_batch(net) < net.max_batches){
+ i += 1;
+ time=clock();
+ pthread_join(load_thread, 0);
+ train = buffer;
+ load_thread = load_data_in_thread(args);
+
+ printf("Loaded: %lf seconds\n", sec(clock()-time));
+
+ time=clock();
+ float loss = train_network(net, train);
+ if (avg_loss < 0) avg_loss = loss;
+ avg_loss = avg_loss*.9 + loss*.1;
+
+ printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", i, loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs);
+ if(i%1000==0 || i == 600){
+ char buff[256];
+ sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);
+ save_weights(net, buff);
+ }
+ free_data(train);
+ }
+ char buff[256];
+ sprintf(buff, "%s/%s_final.weights", backup_directory, base);
+ save_weights(net, buff);
+}
+
+void run_swag(int argc, char **argv)
+{
+ if(argc < 4){
+ fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
+ return;
+ }
+
+ char *cfg = argv[3];
+ char *weights = (argc > 4) ? argv[4] : 0;
+ if(0==strcmp(argv[2], "train")) train_swag(cfg, weights);
+}
--
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