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Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

Results 70 LPRNet_Pytorch issues
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Hi, I am working on license plate recognition. I have some digits and Korean characters. I want to recognize each digit and character individually from the license plate. How can...

Testing started at 16:14 ... C:\Users\Administrator\anaconda3\python.exe "F:\pycharm\PyCharm Community Edition 2020.1.2\plugins\python-ce\helpers\pycharm\_jb_pytest_runner.py" --path F:/LPRNet_Pytorch-master/test_LPRNet.py Launching pytest with arguments F:/LPRNet_Pytorch-master/test_LPRNet.py in F:\LPRNet_Pytorch-master ============================= test session starts ============================= platform win32 -- Python 3.7.6, pytest-5.3.5,...

usage: ipykernel_launcher.py [-h] [--max_epoch MAX_EPOCH] [--img_size IMG_SIZE] [--train_img_dirs TRAIN_IMG_DIRS] [--test_img_dirs TEST_IMG_DIRS] [--dropout_rate DROPOUT_RATE] [--learning_rate LEARNING_RATE] [--lpr_max_len LPR_MAX_LEN] [--train_batch_size TRAIN_BATCH_SIZE] [--test_batch_size TEST_BATCH_SIZE] [--phase_train PHASE_TRAIN] [--num_workers NUM_WORKERS] [--cuda CUDA] [--resume_epoch RESUME_EPOCH] [--save_interval...

请问可以转ncnn支持的caffemodel或者ncnn支持的onnx吗?

Hi, is it possible to train the model on data with variable length, not just data with length 8? I know the paper mentions this possibility but does the implementation...

I tried to replace the optimizer to sgd, but the result is so bad

如题,输出是18个长度,改大长度?还是在 空白符上 设置低阈值?有大神指导下吗