mirror of
https://github.com/we0091234/crnn_plate_recognition.git
synced 2025-12-24 12:12:23 +08:00
update
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1
.gitignore
vendored
1
.gitignore
vendored
@@ -11,6 +11,7 @@ build/
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result1/
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output/
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color_model/
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pretrainde_model/
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demoMy.py
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get_every_provice_number.py
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get_train_less_data.py
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260313
datasets/train.txt
260313
datasets/train.txt
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2562
datasets/val.txt
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2562
datasets/val.txt
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4
demo.py
4
demo.py
@@ -73,8 +73,8 @@ if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--model_path', type=str, default='saved_model/best.pth', help='model.pt path(s)')
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# parser.add_argument('--image_path', type=str, default='images/tmp6FC6.png', help='source')
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# parser.add_argument('--image_path', type=str, default='/mnt/EPan/carPlate/@realTest2_noTraining/realrealTest', help='source')
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parser.add_argument('--image_path', type=str, default='/mnt/Gu/trainData/plate/new_git_train/val_verify', help='source')
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parser.add_argument('--image_path', type=str, default='/mnt/EPan/carPlate/@realTest2_noTraining/realrealTest', help='source')
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# parser.add_argument('--image_path', type=str, default='/mnt/Gu/trainData/plate/new_git_train/val_verify', help='source')
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parser.add_argument('--img_h', type=int, default=48, help='height')
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parser.add_argument('--img_w',type=int,default=168,help='width')
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parser.add_argument('--LPRNet',action='store_true',help='use LPRNet') #True代表使用LPRNet ,False代表用plateNet
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@@ -24,7 +24,7 @@ DATASET:
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ALPHABETS: ''
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TRAIN:
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BATCH_SIZE_PER_GPU: 384
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BATCH_SIZE_PER_GPU: 256
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SHUFFLE: True
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BEGIN_EPOCH: 0
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END_EPOCH: 100
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@@ -20,8 +20,8 @@ def is_str_right(plate_name):
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return True
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if __name__=="__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--image_path', type=str, default="/mnt/Gu/trainData/plate/new_git_train/CCPD_CRPD_OTHER", help='source')
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parser.add_argument('--label_file', type=str, default='datasets/train.txt', help='model.pt path(s)')
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parser.add_argument('--image_path', type=str, default="/mnt/EPan/carPlate/@realTest2_noTraining/realrealTest", help='source')
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parser.add_argument('--label_file', type=str, default='datasets/val.txt', help='model.pt path(s)')
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opt = parser.parse_args()
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rootPath = opt.image_path
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train.py
4
train.py
@@ -58,8 +58,8 @@ def main():
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# construct face related neural networks
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#cfg =[8,8,16,16,'M',32,32,'M',48,48,'M',64,128] #small model
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# cfg =[16,16,32,32,'M',64,64,'M',96,96,'M',128,256]#medium model
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cfg =[32,32,64,64,'M',128,128,'M',196,196,'M',256,256] #big model
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cfg =[16,16,32,32,'M',64,64,'M',96,96,'M',128,256]#medium model
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# cfg =[32,32,64,64,'M',128,128,'M',196,196,'M',256,256] #big model
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# model = crnn.get_crnn(config,cfg=cfg)
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model = myNet_ocr(num_classes=len(plate_chr),cfg=cfg)
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# model = build_lprnet(num_classes=len(plate_chr))
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