deep-text-recognition-benchmark
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clovaai
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
1 import easyocr ----> 2 reader = easyocr.Reader(lang_list=['en'],recog_network='best_accuracy') 1 frames [/usr/local/lib/python3.7/dist-packages/easyocr/recognition.py](https://localhost:8080/#) in get_recognizer(recog_network, network_params, character, separator_list, dict_list, model_path, device, quantize) 164 else: 165 model_pkg = importlib.import_module(recog_network) --> 166 model =...
import easyocr reader = easyocr.Reader(lang_list=['en'],recog_network='best_accuracy') I am getting this error. WARNING:easyocr.easyocr:CUDA not available - defaulting to CPU. Note: This module is much faster with a GPU. /usr/local/lib/python3.7/dist-packages/torchvision/models/_utils.py:253: UserWarning: Accessing the...
Hello, I have used the model to train on my own dataset. It had 88k handwritten words in Bengali.  Despite pretty decent training results, the prediction is straight up...
``` !CUDA_VISIBLE_DEVICES=0 python3 demo.py \ --Transformation TPS --FeatureExtraction ResNet --SequenceModeling BiLSTM --Prediction Attn \ --image_folder demo_image/ --saved_model TPS-ResNet-BiLSTM-Attn.pth ``` The above cell produces this error. ``` model input parameters 32...
Hello I encountered this error when I wanted retrain the network using my dataset, which is in Farsi language. Can anyone help me, what is the reason for this and...
PyTorch version: 1.13.0.dev20220810+cu116 Train command: python train.py --train_data data_lmdb_release/training/MJ/MJ_train --valid_data data_lmdb_release/training/MJ/MJ_valid --select_data MJ-MJ --batch_ratio 0.5-0.5 --Transformation TPS --FeatureExtraction ResNet --SequenceModeling BiLSTM --Prediction Attn Full log: ``` Traceback (most recent call...
When I add extra character(for instance standard length of symbols was 35) or remove one letter, I get this error. But if I just replace one letter with another everything...
Has anyone tried to scan a whole page of texts with this ? if yes what changes did u made ??? and how was the result
No Transformation module specified model input parameters 32 100 20 1 512 256 88 25 None VGG BiLSTM CTC loading pretrained model from saved_models_results/None-VGG-BiLSTM-CTC-Seed1111/best_accuracy.pth -------------------------------------------------------------------------------- dataset_root: result/evaluation_lmdb/IIIT5k_3000 dataset: / Traceback...
Hi, i trained and tested the model. i'm wondering if there any way to check the wrong prediction data? i used 3 kinds of dataset and used it one data...
