yolo3 flir ok

tests/yolo3_flir/yolo3_flir.cfg

@@ -17,7 +17,7 @@ hue=.1
 
 learning_rate=0.001
 burn_in=1000
-max_batches = 10000
+max_batches = 20000
 policy=steps
 steps=8000,9000
 scales=.1,.1
@@ -602,13 +602,13 @@ activation=leaky
 size=1
 stride=1
 pad=1
-filters=30
+filters=24
 activation=linear
 
 [yolo]
 mask = 6,7,8
 anchors = 8.2087,8.5515, 18.4134,20.3391, 40.2194,29.2990, 31.6137,69.2240, 69.8497,48.3838, 108.8817,76.6316, 96.5753,145.5743, 165.9182,117.4493, 215.7497,198.4648
-classes=5
+classes=3
 num=9
 jitter=.3
 ignore_thresh = .5
@@ -686,13 +686,13 @@ activation=leaky
 size=1
 stride=1
 pad=1
-filters=30
+filters=24
 activation=linear
 
 [yolo]
 mask = 3,4,5
 anchors = 8.2087,8.5515, 18.4134,20.3391, 40.2194,29.2990, 31.6137,69.2240, 69.8497,48.3838, 108.8817,76.6316, 96.5753,145.5743, 165.9182,117.4493, 215.7497,198.4648
-classes=5
+classes=3
 num=9
 jitter=.3
 ignore_thresh = .5
@@ -770,13 +770,13 @@ activation=leaky
 size=1
 stride=1
 pad=1
-filters=30
+filters=24
 activation=linear
 
 [yolo]
 mask = 0,1,2
 anchors = 8.2087,8.5515, 18.4134,20.3391, 40.2194,29.2990, 31.6137,69.2240, 69.8497,48.3838, 108.8817,76.6316, 96.5753,145.5743, 165.9182,117.4493, 215.7497,198.4648
-classes=5
+classes=3
 num=9
 jitter=.3
 ignore_thresh = .5

tests/yolo3_flir/yolo3_flir.cpp

@@ -11,7 +11,7 @@ int main() {
 
     // create yolo3 model
     std::string bin_path  = "../tests/yolo3_flir";
-    int classes = 5;
+    int classes = 3;
     tk::dnn::Yolo *yolo [3];
     #include "models/Yolo3.h"