Spaces:
Runtime error
Runtime error
File size: 4,856 Bytes
1682daa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 |
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
|