zzzDavid/ICDAR-2019-SROIE
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
PythonMIT
Issues
- 0
Custom Dataset creation
#22 opened by sumairrasi - 2
- 0
- 10
Task 3 Data Information
#14 opened by lyrab96 - 0
Justification for Robust Padding
#19 opened by xssChauhan - 1
- 1
is there a pretrained model available?
#17 opened by Vibha111094 - 2
- 0
- 0
task1(data_provider.py)
#13 opened by a165741 - 2
- 1
Training data for task3
#5 opened by saurabhsbora - 1
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.
#11 opened by shreeshiv - 2
No module named 'models'
#8 opened by nttung1110 - 0
task2 img = Image.open(buf).convert('L')OSError: cannot identify image file <_io.BytesIO object at 0x7f20e6463a98>
#10 opened by wjw-2017 - 0
task2 img = Image.open(buf).convert('L')
#9 opened by wjw-2017 - 0
my_data.py ???
#7 opened by ziodos - 2
Task 3: Inference Issue
#6 opened by shubham99bisht - 3
main.py file missing in task 3
#3 opened by anitchakraborty - 1
AssertionError: Torch not compiled with CUDA enabled in task 3/src/train.py
#4 opened by anitchakraborty - 2
Training documentation
#1 opened