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from typing import List |
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import numpy as np |
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from copy import deepcopy |
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from .base import DEVICE_SELECTOR, OCRBase, register_OCR, TextBlock |
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from utils.textblock import collect_textblock_regions |
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mit_params = { |
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'chunk_size': { |
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'type': 'selector', |
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'options': [8, 16, 24, 32], |
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'value': 16 |
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}, |
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'device': DEVICE_SELECTOR(not_supported=['privateuseone']), |
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'description': 'OCRMIT32px' |
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} |
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class MITModels(OCRBase): |
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_line_only = True |
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_load_model_keys = {'model'} |
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def __init__(self, **params) -> None: |
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super().__init__(**params) |
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self.model = None |
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@property |
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def chunk_size(self) -> int: |
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return self.params['chunk_size']['value'] |
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@property |
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def device(self) -> str: |
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return self.params['device']['value'] |
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def _ocr_blk_list(self, img: np.ndarray, blk_list: List[TextBlock], split_textblk=False, seg_func=None, *args, **kwargs): |
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regions, textblk_lst_indices = collect_textblock_regions(img, blk_list, self.model.text_height, self.model.maxwidth, split_textblk, seg_func) |
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return self.model(blk_list, regions, textblk_lst_indices, chunk_size=self.chunk_size) |
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def updateParam(self, param_key: str, param_content): |
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if param_key == 'device' and self.device != param_content and self.model is not None: |
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self.model.to(param_content) |
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super().updateParam(param_key, param_content) |
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from .mit32px import OCR32pxModel |
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@register_OCR('mit32px') |
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class OCRMIT32px(MITModels): |
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params = deepcopy(mit_params) |
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download_file_list = [{ |
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'url': 'https://github.com/zyddnys/manga-image-translator/releases/download/beta-0.3/ocr.zip', |
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'files': ['ocr.ckpt'], |
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'sha256_pre_calculated': ['d9f619a9dccce8ce88357d1b17d25f07806f225c033ea42c64e86c45446cfe71'], |
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'save_files': ['data/models/mit32px_ocr.ckpt'], |
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'archived_files': 'ocr.zip', |
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'archive_sha256_pre_calculated': '47405638b96fa2540a5ee841a4cd792f25062c09d9458a973362d40785f95d7a', |
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}] |
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def _load_model(self): |
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self.model = OCR32pxModel(r'data/models/mit32px_ocr.ckpt', self.device) |
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from .mit48px_ctc import OCR48pxCTC |
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@register_OCR('mit48px_ctc') |
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class OCRMIT48pxCTC(MITModels): |
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params = deepcopy(mit_params) |
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download_file_list = [{ |
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'url': 'https://github.com/zyddnys/manga-image-translator/releases/download/beta-0.3/ocr-ctc.zip', |
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'files': ['ocr-ctc.ckpt', 'alphabet-all-v5.txt'], |
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'sha256_pre_calculated': ['8b0837a24da5fde96c23ca47bb7abd590cd5b185c307e348c6e0b7238178ed89', None], |
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'save_files': ['data/models/mit48pxctc_ocr.ckpt', 'data/alphabet-all-v5.txt'], |
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'archived_files': 'ocr-ctc.zip', |
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'archive_sha256_pre_calculated': 'fc61c52f7a811bc72c54f6be85df814c6b60f63585175db27cb94a08e0c30101', |
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}] |
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def _load_model(self): |
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self.model = OCR48pxCTC(r'data/models/mit48pxctc_ocr.ckpt', self.device) |
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from .mit48px import Model48pxOCR |
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OCR48PXMODEL_PATH = r'data/models/ocr_ar_48px.ckpt' |
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@register_OCR('mit48px') |
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class OCRMIT48px(MITModels): |
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params = deepcopy(mit_params) |
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download_file_list = [{ |
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'url': 'https://github.com/zyddnys/manga-image-translator/releases/download/beta-0.3/', |
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'files': [OCR48PXMODEL_PATH, 'data/alphabet-all-v7.txt'], |
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'sha256_pre_calculated': ['29daa46d080818bb4ab239a518a88338cbccff8f901bef8c9db191a7cb97671d', None], |
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'concatenate_url_filename': 2, |
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}] |
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def _load_model(self): |
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self.model = Model48pxOCR(OCR48PXMODEL_PATH, self.device) |
