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b2c5353 | 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 | import numpy as np
import matplotlib.pyplot as plt
def show_scribbles(mask, ax, alpha=0.5):
"""
Overlay positive scribbles (green) and negative (red) scribbles
Args:
mask: 1 x (C) x H x W or 2 x (C) x H x W
ax: matplotlib axis
alpha: transparency of the overlay
"""
mask = mask.squeeze() # 2 x H x W
if len(mask.shape)==2:
# If there's only channel of scribbles, overlay the scribbles in blue
h, w = mask.shape
color = np.array([30/255, 144/255, 255/255, alpha])
mask_image = mask.reshape(h, w, 1) * color.reshape(1, 1, -1)
ax.imshow(mask_image)
elif len(mask.shape)==3:
# If there are 2 channels, take the first channel as positive scribbles (green) and the second channel as negaitve scribbles (red)
c, h, w = mask.shape
color = np.array([0, 1, 0, alpha])
mask_image = mask[0,...].reshape(h, w, 1) * color.reshape(1, 1, -1)
ax.imshow(mask_image)
color = np.array([1, 0, 0, alpha])
mask_image = mask[1,...].reshape(h, w, 1) * color.reshape(1, 1, -1)
ax.imshow(mask_image)
else:
raise ValueError("mask must be 2 or 3 dimensional")
# -----------------------------------------------------------------------------
# Functions adapted from https://github.com/facebookresearch/segment-anything/blob/main/notebooks/predictor_example.ipynb
# -----------------------------------------------------------------------------
def show_mask(mask, ax, random_color=False, alpha=0.5):
"""
Overlay mask
"""
if random_color:
color = np.concatenate([np.random.random(3), np.array([alpha])], axis=0)
else:
color = np.array([30/255, 144/255, 255/255, alpha])
h, w = mask.shape[-2:]
mask_image = mask.reshape(h, w, 1) * color.reshape(1, 1, -1)
ax.imshow(mask_image)
def show_points(coords, labels, ax, marker_size=150):
"""
Overlay positive and negative clicks. Points should be xy coordinates
Args:
coords: (N, 2) array of xy coordinates
labels: (N,) array of labels (0 or 1)
ax: matplotlib axis
marker_size: size of the markers
"""
pos_points = coords[labels==1]
ax.scatter(pos_points[:, 0], pos_points[:, 1], color='green', marker='.',
s=marker_size, edgecolor='white', linewidth=1.25)
neg_points = coords[labels==0]
ax.scatter(neg_points[:, 0], neg_points[:, 1], color='red', marker='.',
s=marker_size, edgecolor='white', linewidth=1.25)
def show_boxes(box, ax, lw=3):
"""
Overlay bounding boxes in yellow
"""
box = box.squeeze()
if len(box.shape)==2:
for i in range(box.shape[0]):
show_boxes(box[i,...], ax, lw)
else:
x0, y0 = box[0], box[1]
w, h = box[2] - box[0], box[3] - box[1]
ax.add_patch(plt.Rectangle((x0, y0), w, h, edgecolor='gold', facecolor=(0,0,0,0), lw=lw)) |