Yolo Model Predictor - Abstract Method
labelConfPath, #--> labels with color
configPath, #--> yolo config file
weightPath, #--> yolo weight file
imagePath, #--> test image path
MIN_CONF,
nms_conf,
nms_thresh
img , dec = driverTestingFunction(
"labelfile_train.txt", #-->eg:jacket 255,230,120 and next line , next entry .. and so on
"yolov4.cfg", #-->yolo config
"yolov4_last.weights", #-->yolo weight with structure corresponding to that of config (u can change img dims if you want in the code)
"6.jpeg", #-->image to be predicted
0.2,0.5,0.45 #-->min confidence(to consider from a pool of bounding boxes),Confidence,tuning thesholds
)
cv2.imwrite("dest.jpeg",img)
print(dec)