Comments (2)
You only need gt.mat
and crop_words_from_oxford.py
if you want to evaluate the model on the SynthText Dataset.
However, it seems you already have annotations and images? What do you want to do? Run a trained model on your data and examine the result? Retrain the model?
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Thank you for your prompt response.
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Related Issues (18)
- MultiGPU HOT 1
- How do you generate the mask in transformer model and process text labels to "class_id" ? HOT 3
- What is the inference speed of KISS ? HOT 4
- Change the num_words_per_image without training again HOT 1
- Some of files in the link are not downloadable. HOT 3
- Use pretrained model and continue training on own data HOT 1
- [Help] Using Pretrained Model HOT 6
- Pretrained model & Dataset HOT 1
- The data link is broken HOT 3
- Windows fatal exception: Access violation
- cannot install without a GPU HOT 9
- Training Text-Detection HOT 6
- Is it possible to use KISS on a test image? HOT 11
- SVT Evaluation HOT 1
- link to download SynAdd dataset.? HOT 4
- mjsynth.npz only has first letter of each word in "text" HOT 2
- Loss Functions HOT 25
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