Added runtime data

runtime_data/openalpr.conf

@@ -0,0 +1,115 @@
+[common]
+
+
+ocr_img_size_percent = 1.33333333
+state_id_img_size_percent = 2.0
+
+max_plate_width_percent = 100
+max_plate_height_percent = 100
+
+
+ocr_min_font_point = 6
+
+; Minimum OCR confidence percent to consider.
+postprocess_min_confidence = 60
+
+; Any OCR character lower than this will also add an equally likely 
+; chance that the character is incorrect and will be skipped.  Value is a confidence percent
+postprocess_confidence_skip_level = 75
+
+; Reduces the total permutations to consider for scoring.
+postprocess_max_substitutions = 2
+
+; Results with fewer characters will be discarded
+postprocess_min_characers = 4
+postprocess_max_characers = 8
+
+[debug]
+general =	0
+timing = 	0
+state_id = 	0
+plate_lines = 	0
+plate_corners = 0
+char_regions = 	0
+char_segment = 	0
+char_analysis = 0
+color_filter = 	0
+ocr = 		0
+postprocess = 	0
+show_images =	0
+
+
+
+;;; Country Specific variables ;;;;
+
+[us]
+
+; 30-50, 40-60, 50-70, 60-80, 70-90
+char_analysis_min_pct = 0.30
+char_analysis_height_range = 0.20
+char_analysis_height_step_size = 0.10
+char_analysis_height_num_steps = 5
+
+segmentation_min_box_width_px = 4
+segmentation_min_charheight_percent = 0.3;
+segmentation_max_segment_width_percent_vs_average = 1.35;
+
+plate_width_mm = 304.8
+plate_height_mm = 152.4
+
+char_height_mm = 70
+char_width_mm = 35
+char_whitespace_top_mm = 38
+char_whitespace_bot_mm = 38
+
+template_max_width_px = 120
+template_max_height_px = 60
+
+; Higher sensitivity means less lines
+plateline_sensitivity_vertical = 25
+plateline_sensitivity_horizontal = 45
+
+
+; Regions smaller than this will be disqualified
+min_plate_size_width_px = 70
+min_plate_size_height_px = 35
+
+ocr_language = lus
+
+[eu]
+
+; 55-70, 65-80, 75-90, 85-100
+char_analysis_min_pct = 0.45
+char_analysis_height_range = 0.15
+char_analysis_height_step_size = 0.10
+char_analysis_height_num_steps = 5
+
+
+segmentation_min_box_width_px = 8
+segmentation_min_charheight_percent = 0.5;
+segmentation_max_segment_width_percent_vs_average = 2.0;
+
+plate_width_mm = 520
+plate_height_mm = 110
+
+char_height_mm = 80
+char_width_mm = 53
+char_whitespace_top_mm = 10
+char_whitespace_bot_mm = 10
+
+template_max_width_px = 184
+template_max_height_px = 46
+
+; Higher sensitivity means less lines
+plateline_sensitivity_vertical = 18
+plateline_sensitivity_horizontal = 55
+
+; Regions smaller than this will be disqualified
+min_plate_size_width_px = 100
+min_plate_size_height_px = 20
+
+ocr_language = leu
+
+
+
+

runtime_data/postprocess/readme.txt

@@ -0,0 +1,7 @@
+Each line is a possible lp pattern organized by region/state and then likelihood.
+
+The parser goes through each line and tries to match
+@ = any letter
+# = any number
+? = a skip position (can be anything, but remove it if encountered)
+[A-FGZ] is just a single char position with specific letter requirements.  In this example, the regex defines characters ABCDEFGZ

runtime_data/postprocess/us.patterns

@@ -0,0 +1,212 @@
+base		@@@####	
+base		@@@###
+base		###@@@
+al		#@##@## 
+al		##@##@# 
+al		@@#####
+al		#####@@
+al		#@####@
+al		##@###@
+al		##@#@#@
+ak		@@@###
+as		####
+az		@@@####
+az		?@@@####
+az		###@@@
+ar		###@@@
+ar		@@@###
+ca		#@@@###
+ca		#@@@###
+ca		#@#####
+ca		#####@#
+ca		###@@@
+co		###@@@
+co		@@####
+co		@@@###
+co		@@@####
+ct		#@@@@#
+ct		###@@@
+ct		#####
+ct		######
+ct		@###
+ct		@@###
+ct		@@####
+de		######
+de		#####
+de		####
+de		###
+dc		@@####
+dc		######
+fl		@@@@##
+fl		####[GH]@
+fl		###[H-Y]@@
+fl		@###@@
+fl		@##@@@
+fl		@###@@
+fl		@@@?@##
+fl		###?#[GH]@
+fl		###?[H-Y]@@
+fl		@##?#@@
+fl		@##?@@@
+fl		@##?#@@
+ga		@@@####
+ga		####@@@
+ga		####@@
+ga		#####[Q]@
+ga		###@@@
+gu		@@####
+gu		@@@####
+gu		@@@###@
+hi		[A-HJKNMPR-Z]@@###
+id		@######
+id		#@#####
+id		#@@####
+id		#@@@###
+id		[A]#####[T]
+id		[A]@####[T]
+id		#[A]####[T]
+id		#[A]@###[T]
+id		[BU]####
+id		####[BEFGHIJKLMNPRSTUXYZ]
+id		##[S][A][S]
+id		#@@#[S]
+id		[J]@###
+id		#####[BCS]
+id		###@[E]
+id		##@@[E]
+id		#####
+il		@######
+il		#####
+il		######
+il		@@####
+il		@@@###
+il		@#####
+il		#######
+il		####@
+il		#####@
+in		###@
+in		###@@
+in		###@@@
+in		####
+ia		@@@###
+ia		###@@@
+ia		####@@
+ks		###@@@
+ks		@@@###
+ky		###@@@
+la		@@@###
+me		####@@
+me		###@@
+me		##@@
+me		###@@@
+ms		@@@@@#
+ms		@@@###
+ms		@@@?###
+ms		##[W]##
+md		#@@@##
+md		#[AB]####
+md		@@@###
+md		###[AB][A-N][A-MY]
+md		[AB][A-E][A-Y]##@
+md		#####[ABCY]
+md		@#####
+ma		###@@#
+ma		#@@###
+ma		#@@@##
+ma		######
+ma		###@@@
+ma		####@@
+ma		##@@##
+mi		@@@####
+mi		#@@@##
+mn		###@@@
+mn		@@@###
+mo		@@#@#@
+mo		###@@@
+mo		#@@##@
+mt		######[A]
+mt		#####@
+mt		####@
+ne		#@####
+ne		#@@###
+ne		##@###
+ne		##@@##
+nv		###@@@
+nv		@#####
+nv		@@####
+nv		@@@###
+nh		######
+nh		#######
+nh		@@@###
+nj		@##@@@
+nj		@@@##@
+nj		@@###@
+nj		@@@####
+nm		@@@###
+nm		###@@@
+nm		@@@###
+nm		@@###
+nm		@###
+ny		@@@####
+ny		@@@###
+ny		#@@###
+ny		@#@###
+ny		@###@@
+ny		@@###@
+nc		@@@####
+nd		@@@###
+mp		@@@###
+oh		@@@####
+oh		@@##@@
+ok		###@@@
+or		###@@@
+or		@@@###
+or		###?@@@
+or		@@@?###
+pa		@@@####
+pr		@@@###
+ri		@@###
+ri		######
+ri		#####
+sc		@@@###
+sc		####@@
+sd		#@@###
+sd		##@###
+sd		##@@##
+sd		##@@@#
+tn		###@@@
+tx		@@@####
+tx		@##@@@
+tx		###@@@
+tx		@@@###
+tx		@@#@###
+ut		@###@@
+ut		@###@@
+ut		###@#
+ut		###@@@
+ut		@@@###
+ut		@##?#@@
+ut		@##?#@@
+ut		###?@#
+ut		###?@@@
+ut		@@@?###
+vt		@@@###
+vt		###@###
+vt		##[B]##
+vi		@@@###
+va		@@@####
+va		[J-Z]@@####
+va		@@@###
+va		@@####
+va		####@@
+va		#####[JY]
+wa		###@@@
+wa		@@@####
+wv		[1-9DON]@@###
+wv		[1-9DON]@####
+wy		######
+wy		#######
+wy		#####
+wy		####@
+wy		###@@
+wy		##@@@

runtime_data/region/eu.xml

@@ -0,0 +1,788 @@
+<?xml version="1.0"?>
+<opencv_storage>
+<cascade>
+  <stageType>BOOST</stageType>
+  <featureType>LBP</featureType>
+  <height>13</height>
+  <width>52</width>
+  <stageParams>
+    <boostType>GAB</boostType>
+    <minHitRate>9.9500000476837158e-01</minHitRate>
+    <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
+    <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
+    <maxDepth>1</maxDepth>
+    <maxWeakCount>100</maxWeakCount></stageParams>
+  <featureParams>
+    <maxCatCount>256</maxCatCount>
+    <featSize>1</featSize></featureParams>
+  <stageNum>13</stageNum>
+  <stages>
+    <!-- stage 0 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.2342801094055176e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 30 352328156 -192015 -15754753 -173569 -1164334081
+            -5526021 -1649426433 -1073862520</internalNodes>
+          <leafValues>
+            -8.3821654319763184e-01 4.5727136731147766e-01</leafValues></_>
+        <_>
+          <internalNodes>
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+            2011675391 -1473 -150996993</internalNodes>
+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
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+          <leafValues>
+            -7.2125834226608276e-01 5.0491940975189209e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 1 -->
+    <_>
+      <maxWeakCount>3</maxWeakCount>
+      <stageThreshold>-1.1206305027008057e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 75 -3325 -300158306 -1055923968 -1051789814 -15487472
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
+            -7.6949650049209595e-01 4.8848018050193787e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 2 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.1834602355957031e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+    <!-- stage 3 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.4445747137069702e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
+            -7.1337687969207764e-01 4.1314238309860229e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 4 -->
+    <_>
+      <maxWeakCount>6</maxWeakCount>
+      <stageThreshold>-1.7404717206954956e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
+            0 -1 45 -822084950 549227283 -1023008128 263662540 907280548
+            357251361 794240313 1988100095</internalNodes>
+          <leafValues>
+            -6.9282585382461548e-01 4.0284207463264465e-01</leafValues></_>
+        <_>
+          <internalNodes>
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+          <leafValues>
+            -6.0658127069473267e-01 3.8594201207160950e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 5 -->
+    <_>
+      <maxWeakCount>6</maxWeakCount>
+      <stageThreshold>-1.7376002073287964e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 15 -67113473 -50397705 -671624993 -33621601 -36703233
+            -33825569 -536871937 -1</internalNodes>
+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
+            -6.5112805366516113e-01 3.9441567659378052e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 6 -->
+    <_>
+      <maxWeakCount>6</maxWeakCount>
+      <stageThreshold>-1.4720557928085327e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+    <!-- stage 7 -->
+    <_>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.9503176212310791e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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