Comments (2)
Go into the directory 'task2' and read README.md.
Click 'here' and
Copy
1. the dir 'models'
2. the file 'dataset.py'
from repository to under the task2 directory
from icdar-2019-sroie.
yes, tks a lot
from icdar-2019-sroie.
Related Issues (20)
- task2 img = Image.open(buf).convert('L')OSError: cannot identify image file <_io.BytesIO object at 0x7f20e6463a98>
- I wonder, can we improve final score, if we encode each word and masking some numeric entry followed by classification, rather than character level classification. HOT 1
- Performance for higher number of classes in classification task 3 HOT 2
- task1(data_provider.py)
- Task 3 Data Information HOT 10
- can you provide any pretrained model? or a demo.py / demo.ipynb ?
- Code to predict and evaluate the model for task 1? HOT 2
- is there a pretrained model available? HOT 1
- How to evaluate the JSON dump created by the task3/src/test.py ? HOT 1
- Justification for Robust Padding
- building a .so files for CTPN method of task1 HOT 2
- How to crop 8 needed cells for tickets like below. [email protected]
- Custom Dataset creation
- main.py file missing in task 3 HOT 3
- AssertionError: Torch not compiled with CUDA enabled in task 3/src/train.py HOT 1
- Training data for task3 HOT 1
- Task 3: Inference Issue HOT 2
- my_data.py ???
- task2 img = Image.open(buf).convert('L')
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