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from pathlib import Path
import cv2
import numpy as np
from lama_cleaner.interactive_seg import InteractiveSeg, Click
current_dir = Path(__file__).parent.absolute().resolve()
save_dir = current_dir / 'result'
save_dir.mkdir(exist_ok=True, parents=True)
img_p = current_dir / "overture-creations-5sI6fQgYIuo.png"
def test_interactive_seg():
interactive_seg_model = InteractiveSeg()
img = cv2.imread(str(img_p))
pred = interactive_seg_model(img, clicks=[Click(coords=(256, 256), indx=0, is_positive=True)])
cv2.imwrite(str(save_dir / "test_interactive_seg.png"), pred)
def test_interactive_seg_with_negative_click():
interactive_seg_model = InteractiveSeg()
img = cv2.imread(str(img_p))
pred = interactive_seg_model(img, clicks=[
Click(coords=(256, 256), indx=0, is_positive=True),
Click(coords=(384, 256), indx=1, is_positive=False)
])
cv2.imwrite(str(save_dir / "test_interactive_seg_negative.png"), pred)
def test_interactive_seg_with_prev_mask():
interactive_seg_model = InteractiveSeg()
img = cv2.imread(str(img_p))
mask = np.zeros_like(img)[:, :, 0]
pred = interactive_seg_model(img, clicks=[Click(coords=(256, 256), indx=0, is_positive=True)], prev_mask=mask)
cv2.imwrite(str(save_dir / "test_interactive_seg_with_mask.png"), pred)
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