|
|
| from modules import scripts_postprocessing, ui_components, errors |
| import gradio as gr |
|
|
| from modules.textual_inversion import autocrop |
|
|
|
|
| class ScriptPostprocessingFocalCrop(scripts_postprocessing.ScriptPostprocessing): |
| name = "Auto focal point crop" |
| order = 4000 |
|
|
| def ui(self): |
| with ui_components.InputAccordion(False, label="Auto focal point 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") |
| debug = gr.Checkbox(label='Create debug image', elem_id="train_process_focal_crop_debug") |
|
|
| 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 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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