def print_digit(pixels):
width = DIGIT_DATUM_WIDTH
height = DIGIT_DATUM_HEIGHT
pixels = pixels[:width*height]
image = pixels.reshape((width, height))
datum = samples.Datum(samples.convertToTrinary(image),width,height)
print(datum)
def print_image(self, pixels, ax=None):
"""
Prints a Datum object that contains all pixels in the
provided list of pixels. This will serve as a helper function
to the analysis function you write.
Pixels should take the form
[(2,2), (2, 3), ...]
where each tuple represents a pixel.
"""
image = samples.Datum(None, self.width, self.height)
for pix in pixels:
try:
# This is so that new features that you could define which
# which are not of the form of (x,y) will not break
# this image printer...
x, y = pix
image.pixels[x][y] = 2
except:
print("new features:", pix)
continue
if ax:
pixels = np.asarray(np.asarray(image.pixels).T)
im = np.zeros((pixels.shape[0], pixels.shape[1], 3))
im[pixels >= 1] = [0, 1, 0]
im[pixels < 1] = [0, 0, 0]
ax.imshow(im, interpolation='nearest')
else:
print(image)
def printImage(pixels, width, height):
"""
Generates a Datum object that contains all pixels in the
provided list of pixels. This will serve as a helper function
to the analysis function you write.
"""
image = samples.Datum(None, width, height)
for x, y in pixels:
image.pixels[x][y] = 2
print image
def printImage(self, pixels):
image = samples.Datum(None, self.width, self.height)
for pix in pixels:
try:
# This is so that new features that you could define which
# which are not of the form of (x,y) will not break
# this image printer...
x, y = pix
image.pixels[x][y] = 2
except:
print "new features:", pix
continue
print image
def load1Data(file, n, width, height):
#fin = samples.readlines(filename)
#fin.reverse()
data = []
for j in range(height):
data.append(list(file[(n * height) + j]))
if (len(data[0]) < width - 1):
# we encountered end of file...
print(("Truncating at %d examples (maximum)" % i))
break
item = samples.Datum(data, width, height)
return item
def printImage(pixels, width, height):
"""
Generates a Datum object that contains all pixels in the
provided list of pixels. This will serve as a helper function
to the analysis function you write.
Pixels should take the form
[(2,2), (2, 3), ...]
where each double represents a pixel.
"""
image = samples.Datum(None, width, height)
for x, y in pixels:
image.pixels[x][y] = 2
print image
def getNewDatum(datum, hgetHighlightedArea):
image = util.arrayInvert(datum.getPixels())
width = datum.width
height = datum.height
for x in range(FACE_DATUM_WIDTH):
for y in range(FACE_DATUM_HEIGHT):
if not hgetHighlightedArea[(x, y)]:
image[y][x] = ' '
elif image[y][x] == 0:
image[y][x] = ' '
elif image[y][x]:
image[y][x] = '+'
newDatum = samples.Datum(image, width, height)
return newDatum
def blur(datum, radius):
# radius is 1, 2, 3, ....
# expand the image
image = util.arrayInvert(datum.getPixels())
# now image is a array
width = len(image)
height = len(image[0])
newWidth = width + radius * 2
newHeight = height + radius * 2
newImage = []
for i in range(newWidth):
l = []
for j in range(newHeight):
l.append(0)
newImage.append(l)
for i in range(width):
for j in range(height):
if image[i][j] == 0:
newImage[i + radius][j + radius] = 0
else:
newImage[i + radius][j + radius] = 1
for i in range(width):
for j in range(height):
if image[i][j] > 0:
image[i][j] = '+'
continue
sum = 0
sum = newImage[i + radius - 1][j + radius] + newImage[i + radius + 1][j + radius] + newImage[i + radius][j + radius - 1] + newImage[i + radius][j + radius + 1]
"""
for k in range(-1, 2):
for l in range(-1, 2):
sum += newImage[i + radius + k][j + radius + l]
if sum / 9.0 > 0.5:
"""
if sum > 2:
image[i][j] = '+'
else:
image[i][j] = ' '
newDatum = samples.Datum(image, width, height)
return newDatum
def printImage(self, pixels):
"""
Prints a Datum object that contains all pixels in the
provided list of pixels. This will serve as a helper function
to the analysis function you write.
Pixels should take the form
[(2,2), (2, 3), ...]
where each tuple represents a pixel.
"""
image = samples.Datum(None, self.width, self.height)
for pix in pixels:
try:
# This is so that new features that you could define which
# which are not of the form of (x,y) will not break
# this image printer...
x, y = pix
image.pixels[x][y] = 2
except:
print "new features:", pix
continue
print image
