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easyocr/trainer/saved_models/4digit/log_dataset.txt

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dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
dataset_root: all_data
opt.select_data: ['4digit_train']
opt.batch_ratio: ['1']
--------------------------------------------------------------------------------
dataset_root: all_data dataset: 4digit_train
sub-directory: /4digit_train num samples: 1000
num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000
num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32
--------------------------------------------------------------------------------
Total_batch_size: 32 = 32
--------------------------------------------------------------------------------
dataset_root: all_data/4digit_valid dataset: /
sub-directory: /. num samples: 200
--------------------------------------------------------------------------------
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