; config file for yolov8n_coco_640x384_apache6sr250_aiw4939.aiwbin 
; author:
; date:
; network input size: 

[detection] ; network

class_num = 6 ; number of class
class_name =  per, bik, car, mot, bus, tru ; names of classes 

class_color = {255, 255, 255},{0, 0, 255 }, {255, 0, 0},{0, 255, 255},{55, 255, 0}, {0, 255, 0} ;,{0, 255, 128},{0, 0, 0}  ; color of bounding box for each class (R,G,B)  

CONFIDENCE_DETECTION_THRESHOLD = 0.2 ; detection threshold
CONFIDENCE_NMS_THRESHOLD = 0.5 ; nms threshold

; caution
; 1. Write the value of each key on one line
; 2. class_num = number of class_name = number of class_color
; 3. range of threshold ->  0 < threshold < 1
; 4. Class IDs are determined in the order of class_name. (0,1,2,3 ...)



[detection] ; network

class_num = 1 ; number of class
class_name =  object; names of classes 

class_color = {255, 255, 255};,{0, 255, 128},{0, 0, 0}  ; color of bounding box for each class (R,G,B)  

CONFIDENCE_DETECTION_THRESHOLD = 0.2 ; detection threshold
CONFIDENCE_NMS_THRESHOLD = 0.5 ; nms threshold

; caution
; 1. Write the value of each key on one line
; 2. class_num = number of class_name = number of class_color
; 3. range of threshold ->  0 < threshold < 1
; 4. Class IDs are determined in the order of class_name. (0,1,2,3 ...)