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name : DBNet
dataset :
train :
dataset :
type : DetDataset # 数据集类型
args :
data_path : # 一个存放 img_path \t gt_path的文件
- ''
pre_processes : # 数据的预处理过程, 包含augment和标签制作
- type : IaaAugment # 使用imgaug进行变换
args :
- {'type' : Fliplr, 'args':{'p':0.5}}
- {'type' : Affine, 'args':{'rotate':[-10,10]}}
- {'type' : Resize,'args':{'size':[0.5,3]}}
- type : EastRandomCropData
args :
size : [ 640 , 640 ]
max_tries : 50
keep_ratio : true
- type : MakeBorderMap
args :
shrink_ratio : 0.4
thresh_min : 0.3
thresh_max : 0.7
- type : MakeShrinkMap
args :
shrink_ratio : 0.4
min_text_size : 8
transforms : # 对图片进行的变换方式
- type : ToTensor
args : {}
- type : Normalize
args :
mean : [ 0.485 , 0.456 , 0.406 ]
std : [ 0.229 , 0.224 , 0.225 ]
img_mode : RGB
load_char_annotation : false
expand_one_char : false
filter_keys : [ img_path,img_name,text_polys,texts,ignore_tags,shape] # 返回数据之前, 从数据字典里删除的key
ignore_tags : [ '*' , '###' ]
loader :
batch_size : 1
shuffle : true
num_workers : 0
collate_fn : ''
validate :
dataset :
type : DetDataset
args :
data_path :
- ''
pre_processes :
- type : ResizeShortSize
args :
short_size : 736
resize_text_polys : false
transforms :
- type : ToTensor
args : {}
- type : Normalize
args :
mean : [ 0.485 , 0.456 , 0.406 ]
std : [ 0.229 , 0.224 , 0.225 ]
img_mode : RGB
load_char_annotation : false # 是否加载字符级标注
expand_one_char : false # 是否对只有一个字符的框进行宽度扩充, 扩充后w = w+h
filter_keys : [ ]
ignore_tags : [ '*' , '###' ]
loader :
batch_size : 1
shuffle : true
num_workers : 0
collate_fn : ICDARCollectFN