neha01/FaceRecognition

Why do we have resizedimagesfolder here ?

akashjain0207 opened this issue · 1 comments

This is not an issue but curious to know why do we have resizedimages folder. Code worked fine without that folder too.
But if I have to use this code on my own dataset, can I resize it first and run the trainer to save time ? Will the accuracy be same ?

Resized image is used for Machine learning and Deep learning models. These model takes input image with same size on which model is trained. If you are not Detecting or predicting anything ,then it is not necessary to resize image.

Other method is you can resize image using for loop and cv2.resize function. no need to save image in a folder.