Files
crnn_plate_recognition/lib/config/360CC_config.yaml
we0091234 ffa7567057 update
2023-03-20 20:38:15 +08:00

64 lines
1.4 KiB
YAML

GPUID: 0
WORKERS: 8
PRINT_FREQ: 100
SAVE_FREQ: 2
PIN_MEMORY: False
OUTPUT_DIR: 'output'
CUDNN:
BENCHMARK: True
DETERMINISTIC: False
ENABLED: True
DATASET:
DATASET: 360CC
ROOT: ""
# CHAR_FILE: 'lib/dataset/txt/chars_5990.txt'
CHAR_FILE: 'lib/dataset/txt/plate2.txt'
JSON_FILE: {'train': 'datasets/train.txt', 'val': 'datasets/val.txt'}
# JSON_FILE: {'train': 'H:/DL-DATASET/360M/train.txt', 'val': 'H:/DL-DATASET/360M/test.txt'}
SCALE_FACTOR: 0.25
ROT_FACTOR: 30
STD: 0.193
MEAN: 0.588
ALPHABETS: ''
TRAIN:
BATCH_SIZE_PER_GPU: 256
SHUFFLE: True
BEGIN_EPOCH: 0
END_EPOCH: 100
RESUME:
IS_RESUME: False
FILE: '/mnt/Gpan/Mydata/pytorchPorject/myCrnnPlate/output/360CC/crnn/2022-01-25-22-39/checkpoints/checkpoint_41_acc_0.8977.pth'
OPTIMIZER: 'adam'
LR: 0.001
WD: 0.0
LR_STEP: [60, 80]
# LR_STEP: [40,80,120,180]
LR_FACTOR: 0.1
MOMENTUM: 0.0
NESTEROV: False
RMSPROP_ALPHA:
RMSPROP_CENTERED:
FINETUNE:
IS_FINETUNE: False
FINETUNE_CHECKPOINIT: '/mnt/Gpan/Mydata/pytorchPorject/myCrnnPlate/output/360CC/crnn/2022-01-25-23-21/checkpoints/checkpoint_93_acc_0.9422.pth'
FREEZE: true
TEST:
BATCH_SIZE_PER_GPU: 128
SHUFFLE: True # for random test rather than test on the whole validation set
NUM_TEST: 1000
NUM_TEST_DISP: 10
MODEL:
NAME: 'crnn'
IMAGE_SIZE:
OW: 280 # origial width: 280
H: 32
W: 100 # resized width: 160
NUM_CLASSES: 0
NUM_HIDDEN: 256