def cropImage(fileName, index, count, dim, loc = (0,0)):
with Image.open(fileName) as img:
x = (index % count) * dim[0]
y = (index // count) * dim[1]
part = offset(img, -x, -y).crop((0,0,dim[0],dim[1]))
whole_img = Image.new("RGBA", (16,32), (0,0,0,0))
whole_img.paste(part, loc, part)
return whole_img
def cropImage(fileName, index, count, dim, loc = (0,0)):
with Image.open(fileName) as img:
x = (index % count) * dim[0]
y = (index // count) * dim[1]
part = offset(img, -x, -y).crop((0,0,dim[0],dim[1]))
whole_img = Image.new("RGBA", (16,32), (0,0,0,0))
whole_img.paste(part, loc, part)
return whole_img
def set_photo(self):
# Sort out the image
tn = self.images[self.img_index[self.label_index][1]].copy()
# Offset the image
tn = offset(tn, self.global_x_offset, self.global_y_offset)
draw = ImageDraw.Draw(tn, 'RGBA')
draw.rectangle(self.square, (255, 0, 0, 125))
del draw
tn.thumbnail((self.bounding_dimension, self.bounding_dimension), Image.ANTIALIAS)
self.photo = ImageTk.PhotoImage(tn)
def cropImg(img, location, defaultSize=(16, 16), objectSize=(16, 16), resize=False, displacement=(0, 0)):
row = int(img.width / (defaultSize[0]))
x = (location % row) * defaultSize[0]
y = (location // row) * defaultSize[1]
image = offset(img, -x, -y).crop((0, 0, objectSize[0], objectSize[1]))
if resize:
base = Image.new("RGBA", (16, 32), (0, 0, 0, 0))
base.paste(image, displacement, image)
image = base
return image
def cropImg(img,
location,
defaultSize=(16, 16),
objectSize=(16, 16),
resize=False,
displacement=(0, 0)):
row = int(img.width / (defaultSize[0]))
x = (location % row) * defaultSize[0]
y = (location // row) * defaultSize[1]
image = offset(img, -x, -y).crop((0, 0, objectSize[0], objectSize[1]))
if resize:
base = Image.new("RGBA", (16, 32), (0, 0, 0, 0))
base.paste(image, displacement, image)
image = base
return image
def apply_calibration(self):
"""Apply calibration to all images."""
# create calibrated dir
if not os.path.exists(self.calibrated_folder):
os.makedirs(self.calibrated_folder)
for j in glob.glob(os.path.join(self.region_folder, "*.jpg")):
filename = os.path.basename(j)
time = filename.split("_")
for t in time:
if t.endswith(".jpg"):
time = t.strip(".jpg")
break
if time in self.calibration:
img = Image.open(j)
img = offset(img, self.calibration[time][0], self.calibration[time][1])
img.save(os.path.join(self.calibrated_folder, filename), "jpeg")
def cropImg(img, location, defaultSize=(4, 4), objectSize=(4, 4)):
row = int(img.width / (4*defaultSize[0]))
x = (location % row) * 4 * defaultSize[0]
y = (location // row) * 4 * defaultSize[1]
return offset(img, -x, -y).crop((0, 0, 4*objectSize[0], 4*objectSize[1]))
def cropImg(img, location, size, tileSize):
y = (location // size[0]) * tileSize[1]
x = (location % size[0]) * tileSize[0]
return offset(img, -x, -y).crop((0, 0, tileSize[0], tileSize[1]))
def cropImg(img, location, size, tileSize):
y = (location//size[0]) * tileSize[1]
x = (location % size[0]) * tileSize[0]
return offset(img, -x, -y).crop((0, 0, tileSize[0], tileSize[1]))
def cropImg(img, location, defaultSize=(4, 4), objectSize=(4, 4)):
row = int(img.width / (4 * defaultSize[0]))
x = (location % row) * 4 * defaultSize[0]
y = (location // row) * 4 * defaultSize[1]
return offset(img, -x, -y).crop(
(0, 0, 4 * objectSize[0], 4 * objectSize[1]))
for i in range(9):
j = (i + 9) % 18
x_angle = angles[i]
y_angle = angles[j]
c = cos(x_angle)
s = sin(x_angle)
d = box_width / 2.
d /= meters
d = 0 # DELETEME
dx = int(round(c*d))
dy = int(round(s*d))
fxp = (offset(Image.fromarray(responses[i]), dx, dy))
fxm = (offset(Image.fromarray(responses[i]), -dx, -dy))
fyp = (offset(Image.fromarray(responses[j]), -dy, dx))
fym = (offset(Image.fromarray(responses[j]), dy, -dx))
score = np.sort(np.stack([fxp, fxm, fyp, fym]), axis=0)[3]
scores.append(score)
subplot(121)
imshow(np.max(scores, axis=0))
gray()
colorbar()
subplot(122)
imshow(a)
colorbar()
show()