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-I don't know much about programming and I don't know how to give the results you show in your project.
-could someone help me in this section please
I can't put the whole console because I fill up too much text but the vast majority of it was just this:
"id2label": {
"0": "tench, Tinca tinca",
"1": "goldfish, Carassius auratus",
"2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
"3": "tiger shark, Galeocerdo cuvieri",
"4": "hammerhead, hammerhead shark",
"5": "electric ray, crampfish, numbfish, torpedo",
etc
python -m manga_translator local -i "E:\comic\traductor de imagenes de manga-zyddnys\probar" --config-file "E:\comic\traductor de imagenes de manga-zyddnys\manga-image-translator\config.json" --dest "E:\comic\traductor de imagenes de manga-zyddnys\probar-translated" --use-gpu
Console logs
(venv) E:\comic\traductor de imagenes de manga-zyddnys\manga-image-translator>python -m manga_translator local -i "E:\comic\traductor de imagenes de manga-zyddnys\probar" --config-file "E:\comic\traductor de imagenes de manga-zyddnys\manga-image-translator\config.json" --dest "E:\comic\traductor de imagenes de manga-zyddnys\probar-translated" --use-gpu
[local] Running inlocal mode
[local] Loading models
2025-01-10 23:44:35.133 | INFO | manga_ocr.ocr:__init__:16 - Loading OCR model from kha-white/manga-ocr-base
Config of the encoder: <class 'transformers.models.vit.modeling_vit.ViTModel'> is overwritten by shared encoder config: ViTConfig {
"_name_or_path": "facebook/deit-base-patch16-224",
"architectures": [
"ViTForImageClassification"
--------is trimmed only important is this
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"qkv_bias": true,
"transformers_version": "4.47.1"
}
Config of the decoder: <class 'transformers.models.bert.modeling_bert.BertLMHeadModel'> is overwritten by shared decoder config: BertConfig {
"_name_or_path": "cl-tohoku/bert-base-japanese-char-v2",
"add_cross_attention": true,
"architectures": [
"BertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": true,
"layer_norm_eps": 1e-12,
"max_length": 300,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 2,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"tokenizer_class": "BertJapaneseTokenizer",
"transformers_version": "4.47.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 6144
}
2025-01-10 23:44:38.446 | INFO | manga_ocr.ocr:__init__:22 - Using CUDA
2025-01-10 23:44:39.185 | INFO | manga_ocr.ocr:__init__:35 - OCR ready
[local] Running text detection
[DefaultDetector] Detection resolution: 1280x1536
[local] Running ocr
[ModelMangaOCR] prob: 0.9726269245147705 キャラクター服装はかなりませんが、イタダスストも fg: (248, 247, 246) bg: (248, 247, 246)
[ModelMangaOCR] prob: 0.6924540848711753 周作は大統領ノートレーションのご提供をご提案ください。 fg: (241, 238, 239) bg: (241, 238, 238)
[ModelMangaOCR] prob: 0.9999750942213916 【勇者】はそれを逆手に取った fg: (1, 2, 1) bg: (1, 2, 1)
[ModelMangaOCR] prob: 0.8438133788193031 6体が同時に最適解を実行する fg: (2, 5, 2) bg: (2, 5, 2)
[ModelMangaOCR] prob: 0.8966749907711183 構霊の分身は6体全てが情報を共有し6倍の速さで侵入者を排除する最適解を模索する fg: (3, 4, 1) bg: (3, 4, 1)
[ModelMangaOCR] prob: 0.9937138773523349 この戦いは『情報戦』でもあった fg: (24, 27, 24) bg: (129, 130, 126)
[ModelMangaOCR] prob: 0.7375479936599731 【速転攻勢なるかー!? fg: (248, 245, 246) bg: (248, 245, 246)
[ModelMangaOCR] prob: 0.9909202456474304 questi27〈臨回〉 fg: (246, 248, 247) bg: (246, 248, 247)
[ModelMangaOCR] prob: 0.5913243889808655 消豺ラ判ァ fg: (49, 38, 34) bg: (231, 226, 220)
[local] No pre-translation replacements made.
[local] Removed unpaired symbols from "速転攻勢なるかー!?"
[local] Running text translation
[DeeplTranslator] Translating into English
[DeeplTranslator] 0: questi27〈臨回〉 => QUESTI 27
[DeeplTranslator] 1: 消豺ラ判ァ => Rafael.
[DeeplTranslator] 2: この戦いは『情報戦』でもあった => This battle was also an "information war".
[DeeplTranslator] 3: 速転攻勢なるかー!? => Will there be a quick turnaround offensive?
[DeeplTranslator] 4: 構霊の分身は6体全てが情報を共有し6倍の速さで侵入者を排除する最適解を模索する => All six alter egos will share information and search for the best solution to eliminate the intruder at six times the speed.
[DeeplTranslator] 5: 6体が同時に最適解を実行する => All six simultaneously execute the optimal solution.
[DeeplTranslator] 6: 【勇者】はそれを逆手に取った => The heroes took advantage of this.
[DeeplTranslator] 7: 周作は大統領ノートレーションのご提供をご提案ください。 => Please suggest that the circumscription provide a presidential notation.
[DeeplTranslator] 8: キャラクター服装はかなりませんが、イタダスストも => No character attire pretty much, but also itadasust.
[local] No post-translation replacements made.
[local] Running mask refinement
[mask]: 100%|████████████████████████████████████████████████████████████████████████████| 9/9 [00:00<00:00, 26.84it/s]
[local] Running rendering
[render]: 100%|██████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00, 5.14it/s]
The text was updated successfully, but these errors were encountered:
"inpainter": {
"inpainter": "none", // Use "lama_large"
"inpainting_size": 2048, // Size of image used for inpainting (too large will result in OOM)
"inpainting_precision": "fp32" // Inpainting precision for lama, use "bf16" while you can.
},
Issue
this is my config.json:
{
"filter_text": null,
"render": {
"renderer": "default",
"alignment": "auto",
"disable_font_border": false,
"font_size_offset": 0,
"font_size_minimum": -1,
"direction": "auto",
"uppercase": false,
"lowercase": false,
"gimp_font": "Sans-serif",
"no_hyphenation": false,
"font_color": null,
"line_spacing": null,
"font_size": null
},
"upscale": {
"upscaler": "esrgan",
"revert_upscaling": false,
"upscale_ratio": null
},
"translator": {
"translator": "deepl",
"target_lang": "ENG",
"no_text_lang_skip": false,
"skip_lang": null,
"gpt_config": null,
"translator_chain": null,
"selective_translation": null
},
"detector": {
"detector": "default",
"detection_size": 1536,
"text_threshold": 0.5,
"det_rotate": false,
"det_auto_rotate": false,
"det_invert": false,
"det_gamma_correct": false,
"box_threshold": 0.7,
"unclip_ratio": 2.3
},
"colorizer": {
"colorization_size": 576,
"denoise_sigma": 30,
"colorizer": "none"
},
"inpainter": {
"inpainter": "none",
"inpainting_size": 2048,
"inpainting_precision": "fp32"
},
"ocr": {
"use_mocr_merge": true,
"ocr": "mocr",
"min_text_length": 0,
"ignore_bubble": 0
},
"kernel_size": 3,
"mask_dilation_offset": 0
}
This is a result of this page: https://touhou.ai/imgtrans/
this one is generated by mine:
-I don't know much about programming and I don't know how to give the results you show in your project.
-could someone help me in this section please
I can't put the whole console because I fill up too much text but the vast majority of it was just this:
"id2label": {
"0": "tench, Tinca tinca",
"1": "goldfish, Carassius auratus",
"2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
"3": "tiger shark, Galeocerdo cuvieri",
"4": "hammerhead, hammerhead shark",
"5": "electric ray, crampfish, numbfish, torpedo",
etc
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Afghan hound, Afghan": 160,
"African chameleon, Chamaeleo chamaeleon": 47,
"African crocodile, Nile crocodile, Crocodylus niloticus": 49,
etc
Command Line Arguments
Console logs
The text was updated successfully, but these errors were encountered: