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import gradio as gr
from modules import errors, scripts_postprocessing
from modules.textual_inversion import autocrop
from modules.ui_components import InputAccordion
class FocalCropPostprocessing(scripts_postprocessing.ScriptPostprocessing):
name = "Auto Focal Point Crop"
order = 4010
def ui(self):
with InputAccordion(False, label="Auto Focal Crop") as enable:
face_weight = gr.Slider(
label="Focal point face weight",
value=0.9,
minimum=0.0,
maximum=1.0,
step=0.05,
elem_id="postprocess_focal_crop_face_weight",
)
entropy_weight = gr.Slider(
label="Focal point entropy weight",
value=0.15,
minimum=0.0,
maximum=1.0,
step=0.05,
elem_id="postprocess_focal_crop_entropy_weight",
)
edges_weight = gr.Slider(
label="Focal point edges weight",
value=0.5,
minimum=0.0,
maximum=1.0,
step=0.05,
elem_id="postprocess_focal_crop_edges_weight",
)
with gr.Row():
debug = gr.Checkbox(
value=False,
label="Create debug image",
elem_id="train_process_focal_crop_debug",
)
gr.HTML("<b>Note:</b> this requires the <ins>Scale to</ins> mode")
return {
"enable": enable,
"face_weight": face_weight,
"entropy_weight": entropy_weight,
"edges_weight": edges_weight,
"debug": debug,
}
def process(
self,
pp: scripts_postprocessing.PostprocessedImage,
enable,
face_weight,
entropy_weight,
edges_weight,
debug,
):
if not enable:
return
if not pp.shared.target_width or not pp.shared.target_height:
return
dnn_model_path = None
try:
dnn_model_path = autocrop.download_and_cache_models()
except Exception:
errors.report(
"""Unable to load face detection model for auto crop selection.
Falling back to the lower quality haar method.""",
exc_info=True,
)
autocrop_settings = autocrop.Settings(
crop_width=pp.shared.target_width,
crop_height=pp.shared.target_height,
face_points_weight=face_weight,
entropy_points_weight=entropy_weight,
corner_points_weight=edges_weight,
annotate_image=debug,
dnn_model_path=dnn_model_path,
)
result, *others = autocrop.crop_image(pp.image, autocrop_settings)
pp.image = result
pp.extra_images = [
pp.create_copy(x, nametags=["focal-crop-debug"], disable_processing=True)
for x in others
]
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