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e4338d2 | 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 | import numpy as np
import matplotlib.pyplot as plt
def show_mask(mask, ax, random_color=False):
if random_color:
color = np.concatenate([np.random.random(3), np.array([0.6])], axis=0)
else:
color = np.array([30/255, 144/255, 255/255, 0.6])
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=375):
pos_points = coords[labels==1]
neg_points = coords[labels==0]
ax.scatter(pos_points[:, 0], pos_points[:, 1], color='green', marker='*', s=marker_size, edgecolor='white', linewidth=1.25)
ax.scatter(neg_points[:, 0], neg_points[:, 1], color='red', marker='*', s=marker_size, edgecolor='white', linewidth=1.25)
def show_box(box, ax):
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='green', facecolor=(0,0,0,0), lw=2))
def show_res(masks, scores, input_point, input_label, input_box, filename, image):
for i, (mask, score) in enumerate(zip(masks, scores)):
plt.figure(figsize=(10,10))
plt.imshow(image)
show_mask(mask, plt.gca())
if input_box is not None:
box = input_box[i]
show_box(box, plt.gca())
if (input_point is not None) and (input_label is not None):
show_points(input_point, input_label, plt.gca())
print(f"Score: {score:.3f}")
plt.axis('off')
plt.savefig(filename+'_'+str(i)+'.png',bbox_inches='tight',pad_inches=-0.1)
plt.close()
def show_res_multi(masks, scores, input_point, input_label, input_box, filename, image):
plt.figure(figsize=(10, 10))
plt.imshow(image)
for mask in masks:
show_mask(mask, plt.gca(), random_color=True)
for box in input_box:
show_box(box, plt.gca())
for score in scores:
print(f"Score: {score:.3f}")
plt.axis('off')
plt.savefig(filename +'.png',bbox_inches='tight',pad_inches=-0.1)
plt.close()
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