CRNN
CRNN copied to clipboard
Belval
Default Model gives poor testing result.
I am using the dataset specified by you with images in the format label_index.jpg. However, testing results are very poor. Dataset being used is: https://node1.belval.org/test_dataset.zip. I stored it in data folder and extracted the images.
Command being executed: python3 run.py -ex ./data/ --test --restore -bs 32
Output: Use standard file APIs to check for files with this prefix. Loading data Testing beignet iiiii apocynaceous iiiii arshine iiiii
Why is the output always "iiiiii"?
I am using the dataset specified by you with images in the format label_index.jpg. However, testing results are very poor. Dataset being used is: https://node1.belval.org/test_dataset.zip. I stored it in data folder and extracted the images.
Command being executed: python3 run.py -ex ./data/ --test --restore -bs 32
Output: Use standard file APIs to check for files with this prefix. Loading data Testing beignet iiiii apocynaceous iiiii arshine iiiii
Why is the output always "iiiiii"?
I have the same problem. Have you solved it?
I trained the model from scratch. Seems to be working but still not as satisfactory as CRNN should be. I am thinking of rewriting the library from scratch.
Indeed there seems to be a problem somewhere as I cannot train the model or get suitable predictions anymore. I'll investigate but since the code is in TF 1 I might just rewrite it in eager mode.
