使用TensorFlow Inception V3进行错误训练图像

Question

I am implementing image classification using TensorFlow Inception v3 with GTX 1060 GPU. I trained around 3000 images in 9 different classifier, where each classifier contains from 100 to 500 images(100*100 px) using tensor for poets. But when I have images more than 500, it throws out error and training fails. Same class with less images trains without error. My Image data size for each class is around 5000~10000 but only I can train data size of around 300~400. more of the data and it gives out following GPU error.

The specification as follows:

• Windows 7 with GeForce GTX 1060
• Anaconda 3 with python 3.5
• Tensorflow Inception V3

Answer 1

I am novice for Tensorflow but I had faced the same problem. My suggestion would be:

Try to rename all the images like:

TrainImage001.jpg

TrainImage002.jpg

TrainImage003.jpg

and try converting your images to jpg.

Still I am not sure but at least give it a try.. :)