calmiLovesAI / Basic_CNNs_TensorFlow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
MIT License
526 stars 178 forks source link

to_tfrecord.py运行后生成的图像标签为什么是空的?train以后出来的训练和测试的准确率都是0? #39

Open syx11902 opened 9 months ago

syx11902 commented 9 months ago

你好,我在运行了博主的to_tfrecord代码以后生成的datasettest.tfrecord、datasettrain.tfrecord、datasetvaild.tfrecord都是空的,这是为什么?博主的数据集应该是什么格式?是不是有格式要求?还有运行了train以后出来的训练和测试的准确率都是0?源代码里是还有要改的地方吗? Epoch: 0/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 1/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 2/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 3/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 4/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 5/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 6/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 7/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 8/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 9/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 10/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 11/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 12/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 13/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 14/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 15/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 16/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 17/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 18/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000 Epoch: 19/20, train loss: 0.00000, train accuracy: 0.00000, valid loss: 0.00000, valid accuracy: 0.00000