Focal crop UI elements
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@ -13,7 +13,7 @@ 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, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_entropy_focus=False):
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def preprocess(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_focal_crop=False, process_focal_crop_face_weight=0.9, process_focal_crop_entropy_weight=0.3, process_focal_crop_edges_weight=0.5, process_focal_crop_debug=False):
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try:
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if process_caption:
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shared.interrogator.load()
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@ -23,7 +23,7 @@ def preprocess(process_src, process_dst, process_width, process_height, preproce
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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, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio, process_entropy_focus)
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preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio, process_focal_crop, process_focal_crop_face_weight, process_focal_crop_entropy_weight, process_focal_crop_edges_weight, process_focal_crop_debug)
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finally:
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@ -35,7 +35,7 @@ def preprocess(process_src, process_dst, process_width, process_height, preproce
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def preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_entropy_focus=False):
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def preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_focal_crop=False, process_focal_crop_face_weight=0.9, process_focal_crop_entropy_weight=0.3, process_focal_crop_edges_weight=0.5, process_focal_crop_debug=False):
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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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@ -139,27 +139,27 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
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ratio = (img.height * width) / (img.width * height)
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inverse_xy = True
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processing_option_ran = False
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process_default_resize = True
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if process_split and ratio < 1.0 and ratio <= split_threshold:
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for splitted in split_pic(img, inverse_xy):
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save_pic(splitted, index, existing_caption=existing_caption)
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processing_option_ran = True
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process_default_resize = False
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if process_entropy_focus and img.height != img.width:
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autocrop_settings = autocrop.Settings(
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crop_width = width,
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crop_height = height,
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face_points_weight = 0.9,
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entropy_points_weight = 0.7,
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corner_points_weight = 0.5,
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annotate_image = False
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face_points_weight = process_focal_crop_face_weight,
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entropy_points_weight = process_focal_crop_entropy_weight,
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corner_points_weight = process_focal_crop_edges_weight,
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annotate_image = process_focal_crop_debug
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)
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focal = autocrop.crop_image(img, autocrop_settings)
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save_pic(focal, index, existing_caption=existing_caption)
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processing_option_ran = True
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for focal in autocrop.crop_image(img, autocrop_settings):
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save_pic(focal, index, existing_caption=existing_caption)
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process_default_resize = False
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if not processing_option_ran:
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if process_default_resize:
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img = images.resize_image(1, img, width, height)
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save_pic(img, index, existing_caption=existing_caption)
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@ -1260,7 +1260,7 @@ 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')
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process_entropy_focus = gr.Checkbox(label='Create auto focal point crop')
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process_focal_crop = gr.Checkbox(label='Auto focal point crop')
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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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@ -1268,6 +1268,12 @@ def create_ui(wrap_gradio_gpu_call):
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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(visible=False) as process_focal_crop_row:
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process_focal_crop_face_weight = gr.Slider(label='Focal point face weight', value=0.9, minimum=0.0, maximum=1.0, step=0.05)
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process_focal_crop_entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.3, minimum=0.0, maximum=1.0, step=0.05)
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process_focal_crop_edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05)
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process_focal_crop_debug = gr.Checkbox(label='Create debug image')
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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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@ -1281,6 +1287,12 @@ def create_ui(wrap_gradio_gpu_call):
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outputs=[process_split_extra_row],
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)
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process_focal_crop.change(
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fn=lambda show: gr_show(show),
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inputs=[process_focal_crop],
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outputs=[process_focal_crop_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 or Hypernetwork; you must specify a directory with a set of 1:1 ratio images <a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\" style=\"font-weight:bold;\">[wiki]</a></p>")
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with gr.Row():
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@ -1368,7 +1380,11 @@ def create_ui(wrap_gradio_gpu_call):
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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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process_entropy_focus,
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process_focal_crop,
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process_focal_crop_face_weight,
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process_focal_crop_entropy_weight,
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process_focal_crop_edges_weight,
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process_focal_crop_debug,
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],
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outputs=[
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ti_output,
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