parent
2f99cc54d8
commit
8feb29de40
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@ -768,7 +768,13 @@ class DatasetTagEditor(Singleton):
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taglists = load_captions(imgpaths)
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interrogate_tags = {img_path : [] for img_path in imgpaths}
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if interrogate_method != self.InterrogateMethod.NONE:
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img_to_interrogate = [
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img_path for i, img_path in enumerate(imgpaths)
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if (not taglists[i] or interrogate_method != self.InterrogateMethod.PREFILL)
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]
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if interrogate_method != self.InterrogateMethod.NONE and img_to_interrogate:
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logger.write("Preprocess images...")
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max_workers = shared.opts.dataset_editor_num_cpu_workers
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if max_workers < 0:
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@ -781,7 +787,7 @@ class DatasetTagEditor(Singleton):
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from concurrent.futures import ThreadPoolExecutor
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with ThreadPoolExecutor(max_workers=max_workers) as executor:
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result = list(executor.map(convert_rgb, gen_data(imgpaths, self.images)))
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result = list(executor.map(convert_rgb, gen_data(img_to_interrogate, self.images)))
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logger.write("Preprocess completed")
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for tg, th in tqdm(tagger_thresholds):
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@ -798,10 +804,10 @@ class DatasetTagEditor(Singleton):
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continue
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try:
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if use_pipe:
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for img_path, tags in tqdm(zip(imgpaths, tg.predict_pipe(result, th)), desc=tg.name(), total=len(imgpaths)):
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for img_path, tags in tqdm(zip(img_to_interrogate, tg.predict_pipe(result, th)), desc=tg.name(), total=len(img_to_interrogate)):
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interrogate_tags[img_path] += tags
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else:
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for img_path, data in tqdm(zip(imgpaths, result), desc=tg.name(), total=len(imgpaths)):
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for img_path, data in tqdm(zip(img_to_interrogate, result), desc=tg.name(), total=len(img_to_interrogate)):
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interrogate_tags[img_path] += tg.predict(data, th)
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except Exception as e:
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tb = sys.exc_info()[2]
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@ -814,7 +820,7 @@ class DatasetTagEditor(Singleton):
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tags = interrogate_tags[img_path]
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elif interrogate_method == self.InterrogateMethod.PREPEND:
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tags = interrogate_tags[img_path] + tags
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else:
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elif interrogate_method != self.InterrogateMethod.PREFILL:
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tags = tags + interrogate_tags[img_path]
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self.set_tags_by_image_path(img_path, tags)
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@ -33,14 +33,14 @@ class ToprowUI(UIBase):
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def set_callbacks(self, load_dataset:LoadDatasetUI):
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def save_all_changes(backup: bool, save_kohya_metadata:bool, metadata_output:str, metadata_input:str, metadata_overwrite:bool, metadata_as_caption:bool, metadata_use_fullpath:bool):
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def save_all_changes(backup: bool, save_kohya_metadata:bool, metadata_output:str, metadata_input:str, metadata_overwrite:bool, metadata_as_caption:bool, metadata_use_fullpath:bool, caption_file_ext:str):
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if not metadata_input:
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metadata_input = None
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dte_instance.save_dataset(backup, load_dataset.caption_file_ext, save_kohya_metadata, metadata_output, metadata_input, metadata_overwrite, metadata_as_caption, metadata_use_fullpath)
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dte_instance.save_dataset(backup, caption_file_ext, save_kohya_metadata, metadata_output, metadata_input, metadata_overwrite, metadata_as_caption, metadata_use_fullpath)
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self.btn_save_all_changes.click(
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fn=save_all_changes,
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inputs=[self.cb_backup, self.cb_save_kohya_metadata, self.tb_metadata_output, self.tb_metadata_input, self.cb_metadata_overwrite, self.cb_metadata_as_caption, self.cb_metadata_use_fullpath]
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inputs=[self.cb_backup, self.cb_save_kohya_metadata, self.tb_metadata_output, self.tb_metadata_input, self.cb_metadata_overwrite, self.cb_metadata_as_caption, self.cb_metadata_use_fullpath, load_dataset.tb_caption_file_ext]
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)
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self.cb_save_kohya_metadata.change(
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