deep-text-recognition-benchmark
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clovaai
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
character: 动力电池总成系统种类物料编码压额定容量重产品号ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstvuwxyzAhkgKV-0123456789 sensitive: False PAD: False data_filtering_off: True Transformation: TPS FeatureExtraction: ResNet SequenceModeling: BiLSTM Prediction: Attn ============================================================== character: 0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!"#$%&'()*+,-./:;?@[\]^_`{|}~ sensitive: True PAD: False data_filtering_off: True Transformation: TPS FeatureExtraction: ResNet SequenceModeling:...
I have the recognition codes running for recognizing English text in given image input. In the project, there are pyTorch codes, that does detection and recognition. These modules use pretrained...
Hi All, Can anyone share the download linke for the abvoe dataset ? Regards, Rina
Hi! I wanted to ask if there is some tutorial I can follow to fine tune the easy ocr model... I have some images... (I presume I have to prepare...
I am trying to train a model to use it with EasyOCR in an ANPR project, as a first test I used a dataset that is provided in the EasyOCR...
I am trying to deploy the project for C++ but it doesn't work. I just put the jit function in train.py ``` model = Model(opt) my_module = torch.jit.script(model) my_module.save("my_module.pt") ```...
when run onnx errors: failed:Type Error: Type parameter (T) bound to different types (tensor(float) and tensor(int64) in node (ScatterElements_53).
!python3 /content/deep-text-recognition-benchmark/train.py \ --train_data /content/deep-text-recognition-benchmark/result --valid_data /content/deep-text-recognition-benchmark/result \ --Transformation TPS --FeatureExtraction ResNet --SequenceModeling BiLSTM --Prediction Attn --sensitive **Using result for both test and train data** Traceback (most recent call last):...
