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import gradio as gr
import numpy as np
from PIL import Image, ImageDraw
class ImageMask(gr.components.Image):
"""
Sets: source="canvas", tool="sketch"
"""
is_template = True
def __init__(self, **kwargs):
super().__init__(source="upload",
tool="sketch",
interactive=False,
**kwargs)
def preprocess(self, x):
if x is None:
return x
if self.tool == "sketch" and self.source in ["upload", "webcam"
] and type(x) != dict:
decode_image = gr.processing_utils.decode_base64_to_image(x)
width, height = decode_image.size
mask = np.ones((height, width, 4), dtype=np.uint8)
mask[..., -1] = 255
mask = self.postprocess(mask)
x = {'image': x, 'mask': mask}
return super().preprocess(x)
def get_valid_mask(mask: np.ndarray):
"""Convert mask from gr.Image(0 to 255, RGBA) to binary mask.
"""
if mask.ndim == 3:
mask_pil = Image.fromarray(mask).convert('L')
mask = np.array(mask_pil)
if mask.max() == 255:
mask = mask / 255
return mask
def draw_points_on_image(image,
points,
curr_point=None,
highlight_all=True,
radius_scale=0.01):
overlay_rgba = Image.new("RGBA", image.size, 0)
overlay_draw = ImageDraw.Draw(overlay_rgba)
for point_key, point in points.items():
if ((curr_point is not None and curr_point == point_key)
or highlight_all):
p_color = (255, 0, 0)
t_color = (0, 0, 255)
else:
p_color = (255, 0, 0, 35)
t_color = (0, 0, 255, 35)
rad_draw = int(image.size[0] * radius_scale)
p_start = point.get("start_temp", point["start"])
p_target = point["target"]
if p_start is not None and p_target is not None:
p_draw = int(p_start[0]), int(p_start[1])
t_draw = int(p_target[0]), int(p_target[1])
overlay_draw.line(
(p_draw[0], p_draw[1], t_draw[0], t_draw[1]),
fill=(255, 255, 0),
width=2,
)
if p_start is not None:
p_draw = int(p_start[0]), int(p_start[1])
overlay_draw.ellipse(
(
p_draw[0] - rad_draw,
p_draw[1] - rad_draw,
p_draw[0] + rad_draw,
p_draw[1] + rad_draw,
),
fill=p_color,
)
if curr_point is not None and curr_point == point_key:
# overlay_draw.text(p_draw, "p", font=font, align="center", fill=(0, 0, 0))
overlay_draw.text(p_draw, "p", align="center", fill=(0, 0, 0))
if p_target is not None:
t_draw = int(p_target[0]), int(p_target[1])
overlay_draw.ellipse(
(
t_draw[0] - rad_draw,
t_draw[1] - rad_draw,
t_draw[0] + rad_draw,
t_draw[1] + rad_draw,
),
fill=t_color,
)
if curr_point is not None and curr_point == point_key:
# overlay_draw.text(t_draw, "t", font=font, align="center", fill=(0, 0, 0))
overlay_draw.text(t_draw, "t", align="center", fill=(0, 0, 0))
return Image.alpha_composite(image.convert("RGBA"),
overlay_rgba).convert("RGB")
def draw_mask_on_image(image, mask):
im_mask = np.uint8(mask * 255)
im_mask_rgba = np.concatenate(
(
np.tile(im_mask[..., None], [1, 1, 3]),
45 * np.ones(
(im_mask.shape[0], im_mask.shape[1], 1), dtype=np.uint8),
),
axis=-1,
)
im_mask_rgba = Image.fromarray(im_mask_rgba).convert("RGBA")
return Image.alpha_composite(image.convert("RGBA"),
im_mask_rgba).convert("RGB")
def on_change_single_global_state(keys,
value,
global_state,
map_transform=None):
if map_transform is not None:
value = map_transform(value)
curr_state = global_state
if isinstance(keys, str):
last_key = keys
else:
for k in keys[:-1]:
curr_state = curr_state[k]
last_key = keys[-1]
curr_state[last_key] = value
return global_state
def get_latest_points_pair(points_dict):
if not points_dict:
return None
point_idx = list(points_dict.keys())
latest_point_idx = max(point_idx)
return latest_point_idx
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