File size: 3,522 Bytes
f6f8d06 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
from typing import List
import numpy as np
from copy import deepcopy
from .base import DEVICE_SELECTOR, OCRBase, register_OCR, TextBlock
from utils.textblock import collect_textblock_regions
mit_params = {
'chunk_size': {
'type': 'selector',
'options': [8, 16, 24, 32],
'value': 16
},
'device': DEVICE_SELECTOR(not_supported=['privateuseone']),
'description': 'OCRMIT32px'
}
class MITModels(OCRBase):
_line_only = True
_load_model_keys = {'model'}
def __init__(self, **params) -> None:
super().__init__(**params)
self.model = None
@property
def chunk_size(self) -> int:
return self.params['chunk_size']['value']
@property
def device(self) -> str:
return self.params['device']['value']
def _ocr_blk_list(self, img: np.ndarray, blk_list: List[TextBlock], split_textblk=False, seg_func=None, *args, **kwargs):
regions, textblk_lst_indices = collect_textblock_regions(img, blk_list, self.model.text_height, self.model.maxwidth, split_textblk, seg_func)
return self.model(blk_list, regions, textblk_lst_indices, chunk_size=self.chunk_size)
def updateParam(self, param_key: str, param_content):
if param_key == 'device' and self.device != param_content and self.model is not None:
self.model.to(param_content)
super().updateParam(param_key, param_content)
from .mit32px import OCR32pxModel
@register_OCR('mit32px')
class OCRMIT32px(MITModels):
params = deepcopy(mit_params)
download_file_list = [{
'url': 'https://github.com/zyddnys/manga-image-translator/releases/download/beta-0.3/ocr.zip',
'files': ['ocr.ckpt'],
'sha256_pre_calculated': ['d9f619a9dccce8ce88357d1b17d25f07806f225c033ea42c64e86c45446cfe71'],
'save_files': ['data/models/mit32px_ocr.ckpt'],
'archived_files': 'ocr.zip',
'archive_sha256_pre_calculated': '47405638b96fa2540a5ee841a4cd792f25062c09d9458a973362d40785f95d7a',
}]
def _load_model(self):
self.model = OCR32pxModel(r'data/models/mit32px_ocr.ckpt', self.device)
from .mit48px_ctc import OCR48pxCTC
@register_OCR('mit48px_ctc')
class OCRMIT48pxCTC(MITModels):
params = deepcopy(mit_params)
download_file_list = [{
'url': 'https://github.com/zyddnys/manga-image-translator/releases/download/beta-0.3/ocr-ctc.zip',
'files': ['ocr-ctc.ckpt', 'alphabet-all-v5.txt'],
'sha256_pre_calculated': ['8b0837a24da5fde96c23ca47bb7abd590cd5b185c307e348c6e0b7238178ed89', None],
'save_files': ['data/models/mit48pxctc_ocr.ckpt', 'data/alphabet-all-v5.txt'],
'archived_files': 'ocr-ctc.zip',
'archive_sha256_pre_calculated': 'fc61c52f7a811bc72c54f6be85df814c6b60f63585175db27cb94a08e0c30101',
}]
def _load_model(self):
self.model = OCR48pxCTC(r'data/models/mit48pxctc_ocr.ckpt', self.device)
from .mit48px import Model48pxOCR
OCR48PXMODEL_PATH = r'data/models/ocr_ar_48px.ckpt'
@register_OCR('mit48px')
class OCRMIT48px(MITModels):
params = deepcopy(mit_params)
download_file_list = [{
'url': 'https://github.com/zyddnys/manga-image-translator/releases/download/beta-0.3/',
'files': [OCR48PXMODEL_PATH, 'data/alphabet-all-v7.txt'],
'sha256_pre_calculated': ['29daa46d080818bb4ab239a518a88338cbccff8f901bef8c9db191a7cb97671d', None],
'concatenate_url_filename': 2,
}]
def _load_model(self):
self.model = Model48pxOCR(OCR48PXMODEL_PATH, self.device) |