def extract_chip2(img_path, roi, theta, new_size):
'Crops chip from image ; Rotates and scales; Converts to grayscale'
# Read parent image
np_img = io.imread(img_path)
# Build transformation
(rx, ry, rw, rh) = roi
(rw_, rh_) = new_size
Aff = np.array([[2., 0., 0.], [0., 1., 0.]])
print('built transform Aff=\n%r' % Aff)
# Rotate and scale
#chip = cv2.warpAffine(np_img, Aff, (rw_, rh_), flags=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT)
chip = cv2.warpAffine(np_img, Aff, (rw_, rh_))
#print('warped')
return chip
def extract_chip2(img_path, roi, theta, new_size):
'Crops chip from image ; Rotates and scales; Converts to grayscale'
# Read parent image
np_img = io.imread(img_path)
# Build transformation
(rx, ry, rw, rh) = roi
(rw_, rh_) = new_size
Aff = np.array([[ 2., 0., 0.],
[ 0., 1., 0.]])
print('built transform Aff=\n%r' % Aff)
# Rotate and scale
#chip = cv2.warpAffine(np_img, Aff, (rw_, rh_), flags=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT)
chip = cv2.warpAffine(np_img, Aff, (rw_, rh_))
#print('warped')
return chip
def mask_creator_demo():
try:
from hotspotter import fileio as io
img = io.imread('/lena.png')
except ImportError:
img = np.random.uniform(0, 255, size=(100, 100))
ax = plt.subplot(111)
ax.imshow(img)
mc = MaskCreator(ax)
plt.show()
mask = mc.get_mask(img.shape)
masked_img = apply_mask(img, mask)
plt.imshow(masked_img)
plt.title('Region outside of mask is darkened')
plt.show()
def mask_creator_demo():
try:
from hotspotter import fileio as io
img = io.imread('/lena.png')
except ImportError:
img = np.random.uniform(0, 255, size=(100, 100))
ax = plt.subplot(111)
ax.imshow(img)
mc = MaskCreator(ax)
plt.show()
mask = mc.get_mask(img.shape)
masked_img = apply_mask(img, mask)
plt.imshow(masked_img)
plt.title('Region outside of mask is darkened')
plt.show()