hello lgconti_keys_20200817.txt Could you please provide this file

你给的两个网盘地址都是数据集，并没有预训练模型，是不是发错地址了？

您好，我使用了您提供了项目，准确率确实很高，感谢分享！另外想请教一下，能识别竖向的文本吗？就是和春节对联差不多的那种文本？

请问SAR如何进行训练呢？
我使用SAR配置文件的时候进行训练，出现这个错误：

初步认为是采用了attention，loss函数不同导致的错误。请问应该怎么解决呢

maybe this DAN model have some bug for predict a new image ？？？

RuntimeError: Error(s) in loading state_dict for DAN:
Missing key(s) in state_dict: "feature_extractor.conv1.weight", "feature_extractor.bn1.weight", "

DAN设置如下：
TrainReader:
dataloader: dataset,BatchBalancedDataset
select_data: '/'
batch_ratio: '1.0'
total_data_usage_ratio: 1.0
padding: True
augment: False
batch_size: 64
shuffle: True
num_workers: 0
lmdb_sets_dir: train_set###百度网盘下载的训练文件夹

EvalReader:
dataloader: dataset,evaldataloader
select_data: '/'
batch_size: 2
padding: True
shuffle: True
num_workers: 0
lmdb_sets_dir: test_set ###百度网盘下载的测试文件夹

TestReader:
dataloader: dataset,evaldataloader
select_data: '/'
batch_size: 64
padding: True
shuffle: True
num_workers: 0
lmdb_sets_dir:

Global:
algorithm: DAN
use_gpu: True
gpu_num: '0'
device: cuda:0
num_iters: 800000
highest_acc_save_type: False
data_filtering_off: False
resumed_optimizer: False
batch_max_length: 50
print_batch_step: 10
save_model_dir: output/DAN
eval_batch_step: 2000
image_shape: [1, 32, 256]
character_type: ch
loss_type: attn
use_space_char: false
character_dict_path: keys.txt
seed: 1234
pretrain_weights: models/DAN.pth ####百度下载的模型文件
save_inference_dir: results
infer_img: test_pic ###存放测试图片的文件夹

Architecture:
function: networks.DAN,DAN
compress_layer: False
layers: [3, 4, 6, 6, 3]

CAM:
depth: 8
num_channel: 512

Loss:
function: loss,AttnLoss
blank_idx: 0

Optimizer:
function: adam
base_lr: 0.001
momentum: 0.9
weight_decay: 1.0e-4
lr_decay_epoch: 10
max_epoch: 1000

pytorch版本1.3
python3.7

model_infor networks.DAN,DAN
当前处理的图片是: 2.jpg
Traceback (most recent call last):
File "predict.py", line 110, in
preds_str = text_recognizer(image)
File "predict.py", line 87, in call
preds_str = self.predict(image_tensor)
File "predict.py", line 79, in predict
outputs = self.model(image_tensor)
File "/ntt/Anaconda3/envs/ocr-py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/ntt/Anaconda3/envs/ocr-py38/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 155, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/ntt/Anaconda3/envs/ocr-py38/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 165, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/ntt/Anaconda3/envs/ocr-py38/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 85, in parallel_apply
output.reraise()
File "/ntt/Anaconda3/envs/ocr-py38/lib/python3.8/site-packages/torch/_utils.py", line 395, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in replica 0 on device 0.
Original Traceback (most recent call last):
File "/ntt/Anaconda3/envs/ocr-py38/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 60, in _worker
output = module(*input, **kwargs)
File "/ntt/Anaconda3/envs/ocr-py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
TypeError: forward() missing 1 required positional argument: 'text'

请问怎么禁止打印&存贮日志呢
"""
2022-08-27 16:54:38,947 [DEBUG] STREAM b'IHDR' 16 13
2022-08-27 16:54:38,947 [DEBUG] STREAM b'IHDR' 16 13
2022-08-27 16:54:38,947 [DEBUG] STREAM b'IHDR' 16 13
2022-08-27 16:54:38,947 [DEBUG] STREAM b'IHDR' 16 13
2022-08-27 16:54:38,946 [DEBUG] STREAM b'IHDR' 16 13
2022-08-27 16:54:38,947 [DEBUG] STREAM b'IHDR' 16 13
2022-08-27 16:54:38,947 [DEBUG] STREAM b'zTXt' 41 4435
2022-08-27 16:54:38,947 [DEBUG] STREAM b'IHDR' 16 13
2022-08-27 16:54:38,947 [DEBUG] STREAM b'zTXt' 41 4663
2022-08-27 16:54:38,947 [DEBUG] STREAM b'zTXt' 41 7366
2022-08-27 16:54:38,947 [DEBUG] STREAM b'zTXt' 41 4360
2022-08-27 16:54:38,947 [DEBUG] STREAM b'IDAT' 4655 3808
2022-08-27 16:54:38,947 [DEBUG] STREAM b'zTXt' 41 5427
2022-08-27 16:54:38,947 [DEBUG] STREAM b'zTXt' 41 3699
2022-08-27 16:54:38,947 [DEBUG] STREAM b'zTXt' 41 4984
2022-08-27 16:54:38,948 [DEBUG] STREAM b'zTXt' 41 4005
"""

My image size is [3, 128, 256]
Setting compress_layer as True
When run python train.py -c config/DAN.yml
Error message is :
assert (scales[i-1][1] / scales[i][1]) % 1 == 0, 'layer scale error from {} to {}'.format(i-1, scales[i-1][1] , i, scales[i][1])
AssertError: layer scale error from 1 32 to 2 30

But change compress_layer to False
python train.py -c config/DAN.yml process is running well

2022-05-30 21:06:41,349 [INFO ] dataset_root: G:/LRK/text_recognition_toolbox-main/dataset1/train dataset: /
sub-directory: /. num samples: 0
num total samples of total dataset is 0

运行时无法读取到lmdb文件

报错在
def get_batch(self):
batch = {'img': [], 'label': []}

    for i, data_loader_iter in enumerate(self.dataloader_iter_list): # 将一个可遍历的数据对象(如列表、元组或字符串)组合为一个索引序列
        try:
            image, text = data_loader_iter.next()  # next() 返回迭代器的下一个项目。
            batch['img'].append(image)
            batch['label'] += text
        except Exception:
            self.dataloader_iter_list[i] = iter(self.data_loader_list[i])
            image, text = self.dataloader_iter_list[i].next()
            batch['img'].append(image)
            batch['label'] += text
        # except ValueError:
        #     pass

请问能否解答一下，谢谢

hi， I trained the DAN model and got good performance ， but when I predicted with pretrained model
there is a error :
forward() missing 1 required positional augument: 'text'

And I check it in networks/DAN.py in line 42 :

why perdict need target text ??

你好， 可以提供一个 label.txt的样例嘛？

readme中的例子没有看懂，是在图片名称后面加中文的嘛？ 来说明哪些是检测图片，哪些是识别图片？

你好，我通过使用python predict.py -c configs/FAN.yml 这个句代码，报错了。
报错内容为

应该怎么解决呢？我看你在另一个问题下回复说CRNN和FAN是测试过的，请问还需要修改哪里吗？
报错log：
File "predict.py", line 87, in call
preds_str = self.predict(image_tensor)
File "predict.py", line 79, in predict
outputs = self.model(image_tensor)
File "D:\anaconda\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\anaconda\lib\site-packages\torch\nn\parallel\data_parallel.py", line 149, in forward
return self.module(*inputs, **kwargs)
File "D:\anaconda\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
TypeError: forward() missing 1 required positional argument: 'text'

可以发一下FAN里面的rec_model_tools部分的代码吗