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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 ?
The text was updated successfully, but these errors were encountered:
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.
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 ?
The text was updated successfully, but these errors were encountered: