update default weights
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54f0c14824
commit
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@ -71,9 +71,9 @@ def crop_image(im, settings):
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return results
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def focal_point(im, settings):
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corner_points = image_corner_points(im, settings)
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entropy_points = image_entropy_points(im, settings)
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face_points = image_face_points(im, settings)
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corner_points = image_corner_points(im, settings) if settings.corner_points_weight > 0 else []
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entropy_points = image_entropy_points(im, settings) if settings.entropy_points_weight > 0 else []
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face_points = image_face_points(im, settings) if settings.face_points_weight > 0 else []
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pois = []
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@ -144,7 +144,7 @@ def image_face_points(im, settings):
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settings.dnn_model_path,
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"",
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(im.width, im.height),
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0.8, # score threshold
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0.9, # score threshold
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0.3, # nms threshold
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5000 # keep top k before nms
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)
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@ -159,7 +159,7 @@ def image_face_points(im, settings):
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results.append(
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PointOfInterest(
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int(x + (w * 0.5)), # face focus left/right is center
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int(y + (h * 0)), # face focus up/down is close to the top of the head
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int(y + (h * 0.33)), # face focus up/down is close to the top of the head
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size = w,
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weight = 1/len(faces[1])
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)
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@ -207,7 +207,7 @@ def image_corner_points(im, settings):
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np_im,
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maxCorners=100,
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qualityLevel=0.04,
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minDistance=min(grayscale.width, grayscale.height)*0.03,
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minDistance=min(grayscale.width, grayscale.height)*0.06,
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useHarrisDetector=False,
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)
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@ -256,8 +256,8 @@ def image_entropy_points(im, settings):
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def image_entropy(im):
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# greyscale image entropy
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band = np.asarray(im.convert("L"))
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# band = np.asarray(im.convert("1"), dtype=np.uint8)
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# band = np.asarray(im.convert("L"))
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band = np.asarray(im.convert("1"), dtype=np.uint8)
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hist, _ = np.histogram(band, bins=range(0, 256))
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hist = hist[hist > 0]
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return -np.log2(hist / hist.sum()).sum()
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@ -1270,7 +1270,7 @@ def create_ui(wrap_gradio_gpu_call):
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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_entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.15, 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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