hi, everyone,
The parameter jitter is to randomly changes size of image and its aspect ration from x(1-2jitter) to x(1+2jitter). But I do not want to change the size of my image, so I set jitter = 0.05 or 0.01 (if i set jitter=0, it will use default value, that is jetter=0.2), But during training, the calculated mAP is always equal to 0. However, if I set jitter = 0.3, the mAP looks normal, but this jitter value is not what I want. So, could everyone tell me why this happened?
By the way, I have set all the three jitter parameters (in yolov4-custom.cfg), such as all the three jitter is equal to 0.05, or the first jitter is 0.3, the second and third is 0.01, etc, I have tried many cases. But mAP =0 in all these cases. I also use "-show_img" during training to get the augmented images, if I set all jitter=0.01, then the size of the augmented images only changed a little, which is almost what I want, but I got mAP = 0.
Is there any other methods to augment the data but always keep the sizes of the images?
hi, everyone, The parameter jitter is to randomly changes size of image and its aspect ration from x(1-2jitter) to x(1+2jitter). But I do not want to change the size of my image, so I set jitter = 0.05 or 0.01 (if i set jitter=0, it will use default value, that is jetter=0.2), But during training, the calculated mAP is always equal to 0. However, if I set jitter = 0.3, the mAP looks normal, but this jitter value is not what I want. So, could everyone tell me why this happened?
By the way, I have set all the three jitter parameters (in yolov4-custom.cfg), such as all the three jitter is equal to 0.05, or the first jitter is 0.3, the second and third is 0.01, etc, I have tried many cases. But mAP =0 in all these cases. I also use "-show_img" during training to get the augmented images, if I set all jitter=0.01, then the size of the augmented images only changed a little, which is almost what I want, but I got mAP = 0.
Is there any other methods to augment the data but always keep the sizes of the images?