train: ui: added Split image threshold
and Split image overlap ratio
to preprocess
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parent
9681419e42
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@ -12,7 +12,7 @@ if cmd_opts.deepdanbooru:
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import modules.deepbooru as deepbooru
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def preprocess(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False):
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def preprocess(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2):
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try:
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if process_caption:
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shared.interrogator.load()
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@ -22,7 +22,7 @@ def preprocess(process_src, process_dst, process_width, process_height, process_
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db_opts[deepbooru.OPT_INCLUDE_RANKS] = False
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deepbooru.create_deepbooru_process(opts.interrogate_deepbooru_score_threshold, db_opts)
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preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru)
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preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio)
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finally:
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@ -34,13 +34,13 @@ def preprocess(process_src, process_dst, process_width, process_height, process_
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def preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False):
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def preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2):
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width = process_width
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height = process_height
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src = os.path.abspath(process_src)
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dst = os.path.abspath(process_dst)
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split_threshold = 0.5
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overlap_ratio = 0.2
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split_threshold = max(0.0, min(1.0, split_threshold))
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overlap_ratio = max(0.0, min(0.9, overlap_ratio))
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assert src != dst, 'same directory specified as source and destination'
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@ -1240,10 +1240,14 @@ def create_ui(wrap_gradio_gpu_call):
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with gr.Row():
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process_flip = gr.Checkbox(label='Create flipped copies')
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process_split = gr.Checkbox(label='Split oversized images into two')
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process_split = gr.Checkbox(label='Split oversized images')
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process_caption = gr.Checkbox(label='Use BLIP for caption')
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process_caption_deepbooru = gr.Checkbox(label='Use deepbooru for caption', visible=True if cmd_opts.deepdanbooru else False)
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with gr.Row(visible=False) as process_split_extra_row:
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process_split_threshold = gr.Slider(label='Split image threshold', value=0.5, minimum=0.0, maximum=1.0, step=0.05)
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process_overlap_ratio = gr.Slider(label='Split image overlap ratio', value=0.2, minimum=0.0, maximum=0.9, step=0.05)
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with gr.Row():
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with gr.Column(scale=3):
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gr.HTML(value="")
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@ -1251,6 +1255,12 @@ def create_ui(wrap_gradio_gpu_call):
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with gr.Column():
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run_preprocess = gr.Button(value="Preprocess", variant='primary')
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process_split.change(
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fn=lambda show: gr_show(show),
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inputs=[process_split],
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outputs=[process_split_extra_row],
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)
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with gr.Tab(label="Train"):
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gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding; must specify a directory with a set of 1:1 ratio images</p>")
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with gr.Row():
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@ -1327,7 +1337,9 @@ def create_ui(wrap_gradio_gpu_call):
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process_flip,
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process_split,
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process_caption,
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process_caption_deepbooru
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process_caption_deepbooru,
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process_split_threshold,
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process_overlap_ratio,
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],
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outputs=[
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ti_output,
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