Comments (2)
Are you using the exact same architecture and dataset ?
from text-detection-using-yolo-algorithm-in-keras-tensorflow.
Yeah, I have utilized exactly the same architecture and dataset. However, I used google colab, so versions of Keras (2.3.1) and Tensorflow (2.2.0-rc3) are different from yours in readme file.
Having understood that, I downgraded keras and tensorflow versions, but I faced with other issues:
1) my loss became ‘NaN’ and I solved that thanks to @goldengrisha’s advice (https://github.com/Neerajj9/Text-Detection-using-Yolo-Algorithm-in-keras-tensorflow/issues/3#issuecomment-594271867)
2) I failed to apply GPU calculation in colab with tensorflow 1.9.0 (no idea why, m.b. I made some mistakes), and duration of one epoch have increased as 20 times as it was, so I have no information of the result related to that move
from text-detection-using-yolo-algorithm-in-keras-tensorflow.
Related Issues (8)
- How does the model deal with images of different sizes
- I got a loss of nan when training the model HOT 19
- problem HOT 1
- NPY files are becoming huge after preprocessing HOT 2
- ValueError: You are trying to load a weight file containing 109 layers into a model with 59 layers.
- Accuracy is low
- Help loss go to infinite HOT 1
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