From 57678932921a813531d317c4b079a46f815e130d Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Thu, 19 Apr 2018 22:59:04 +0000
Subject: [PATCH] Fixed typo for calc_anchors
---
build/darknet/x64/calc_anchors.cmd | 4 ++--
src/detector.c | 4 ++--
src/box.c | 1 -
README.md | 2 +-
4 files changed, 5 insertions(+), 6 deletions(-)
diff --git a/README.md b/README.md
index 7634daf..6b98f50 100644
--- a/README.md
+++ b/README.md
@@ -413,7 +413,7 @@
* increase network resolution in your `.cfg`-file (`height=608`, `width=608` or any value multiple of 32) - it will increase precision
* recalculate anchors for your dataset for `width` and `height` from cfg-file:
- `darknet.exe detector calc_anchors data/obj.data -num_of_clusters 9 -width 416 -heigh 416`
+ `darknet.exe detector calc_anchors data/obj.data -num_of_clusters 9 -width 416 -height 416`
then set the same 9 `anchors` in each of 3 `[yolo]`-layers in your cfg-file
* desirable that your training dataset include images with objects at diffrent: scales, rotations, lightings, from different sides, on different backgrounds
diff --git a/build/darknet/x64/calc_anchors.cmd b/build/darknet/x64/calc_anchors.cmd
index 1c7d2d8..45bb6ff 100644
--- a/build/darknet/x64/calc_anchors.cmd
+++ b/build/darknet/x64/calc_anchors.cmd
@@ -1,10 +1,10 @@
rem # How to calculate Yolo v2 anchors using K-means++
-darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -heigh 416
+darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -height 416
-rem darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -heigh 416 -show
+rem darknet.exe detector calc_anchors data/voc.data -num_of_clusters 9 -width 416 -height 416 -show
diff --git a/src/box.c b/src/box.c
index 00e3edb..a2c676f 100644
--- a/src/box.c
+++ b/src/box.c
@@ -294,7 +294,6 @@
void do_nms_obj(detection *dets, int total, int classes, float thresh)
{
- printf(" total = %d, classes = %d, thresh = %f \n", total, classes, thresh);
int i, j, k;
k = total - 1;
for (i = 0; i <= k; ++i) {
diff --git a/src/detector.c b/src/detector.c
index 766819f..082b748 100644
--- a/src/detector.c
+++ b/src/detector.c
@@ -1107,7 +1107,7 @@
int frame_skip = find_int_arg(argc, argv, "-s", 0);
int num_of_clusters = find_int_arg(argc, argv, "-num_of_clusters", 5);
int width = find_int_arg(argc, argv, "-width", 13);
- int heigh = find_int_arg(argc, argv, "-heigh", 13);
+ int height = find_int_arg(argc, argv, "-height", 13);
if(argc < 4){
fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
return;
@@ -1148,7 +1148,7 @@
else if(0==strcmp(argv[2], "valid")) validate_detector(datacfg, cfg, weights, outfile);
else if(0==strcmp(argv[2], "recall")) validate_detector_recall(datacfg, cfg, weights);
else if(0==strcmp(argv[2], "map")) validate_detector_map(datacfg, cfg, weights, thresh);
- else if(0==strcmp(argv[2], "calc_anchors")) calc_anchors(datacfg, num_of_clusters, width, heigh, show);
+ else if(0==strcmp(argv[2], "calc_anchors")) calc_anchors(datacfg, num_of_clusters, width, height, show);
else if(0==strcmp(argv[2], "demo")) {
list *options = read_data_cfg(datacfg);
int classes = option_find_int(options, "classes", 20);
--
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