[common]

; Specify the path to the runtime data directory, bellow you can see how it is configured to the sample application
runtime_dir = /data/data/be.henallux.myapplication/runtime_data

ocr_img_size_percent = 1.33333333
state_id_img_size_percent = 2.0

; Calibrating your camera improves detection accuracy in cases where vehicle plates are captured at a steep angle
; Use the openalpr-utils-calibrate utility to calibrate your fixed camera to adjust for an angle
; Once done, update the prewarp config with the values obtained from the tool
prewarp =

; detection will ignore plates that are too large.  This is a good efficiency technique to use if the
; plates are going to be a fixed distance away from the camera (e.g., you will never see plates that fill
; up the entire image
max_plate_width_percent = 100
max_plate_height_percent = 100

; detection_iteration_increase is the percentage that the LBP frame increases each iteration.
; It must be greater than 1.0.  A value of 1.01 means increase by 1%, 1.10 increases it by 10% each time.
; So a 1% increase would be ~10x slower than 10% to process, but it has a higher chance of landing
; directly on the plate and getting a strong detection
detection_iteration_increase = 1.1

; The minimum detection strength determines how sure the detection algorithm must be before signaling that
; a plate region exists.  Technically this corresponds to LBP nearest neighbors (e.g., how many detections
; are clustered around the same area).  For example, 2 = very lenient, 9 = very strict.
detection_strictness = 3

; The detection doesn't necessarily need an extremely high resolution image in order to detect plates
; Using a smaller input image should still find the plates and will do it faster
; Tweaking the max_detection_input values will resize the input image if it is larger than these sizes
; max_detection_input_width/height are specified in pixels
max_detection_input_width = 1280
max_detection_input_height = 720

; detector is the technique used to find license plate regions in an image.  Value can be set to
; lbpcpu    - default LBP-based detector uses the system CPU
; lbpgpu    - LBP-based detector that uses Nvidia GPU to increase recognition speed.
; lbpopencl - LBP-based detector that uses OpenCL GPU to increase recognition speed.  Requires OpenCV 3.0
; morphcpu  - Experimental detector that detects white rectangles in an image.  Does not require training.
detector = lbpcpu

; If set to true, all results must match a postprocess text pattern if a pattern is available.
; If not, the result is disqualified.
must_match_pattern = 0

; Bypasses plate detection.  If this is set to 1, the library assumes that each region provided is a likely plate area.
skip_detection = 0

; Specifies the full path to an image file that constrains the detection area.  Only the plate regions allowed through the mask
; will be analyzed.  The mask image must match the resolution of your image to be analyzed.  The mask is black and white.
; Black areas will be ignored, white areas will be searched.  An empty value means no mask (scan the entire image)
detection_mask_image =

; OpenALPR can scan the same image multiple times with different randomization.  Setting this to a value larger than
; 1 may increase accuracy, but will increase processing time linearly (e.g., analysis_count = 3 is 3x slower)
analysis_count = 1

; OpenALPR detects high-contrast plate crops and uses an alternative edge detection technique.  Setting this to 0.0
; would classify  ALL images as high-contrast, setting it to 1.0 would classify no images as high-contrast.
contrast_detection_threshold = 0.3

max_plate_angle_degrees = 15

ocr_min_font_point = 6

; Minimum OCR confidence percent to consider.
postprocess_min_confidence = 65

; 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 = 80


debug_general         = 1
debug_timing          = 1
debug_detector        = 1
debug_prewarp         = 1
debug_state_id        = 1
debug_plate_lines     = 1
debug_plate_corners   = 1
debug_char_segment    = 1
debug_char_analysis   = 1
debug_color_filter    = 1
debug_ocr             = 1
debug_postprocess     = 1
debug_show_images     = 1
debug_pause_on_frame  = 1