def toImage(arr):
if arr.type().bytes == 1:
# need to swap coordinates btw array and image (with [::-1])
im = Image.frombytes('L', arr.shape[::-1], arr.tostring())
else:
arr_c = arr - arr.min()
arr_c *= (255./arr_c.max())
arr = arr_c.astype(UInt8)
# need to swap coordinates btw array and image (with [::-1])
im = Image.frombytes('L', arr.shape[::-1], arr.tostring())
return im
def toImage(arr):
if arr.dtype != 'uint8' :
arr_c = arr - arr.min()
maxi = arr_c.max()
if maxi > 0 :
arr_c *= (255./maxi)
arr = arr_c.astype('uint8')
print("Array shape %s, size %d, type %s, range %d-%d, mean %.1f, std %.1f"%(repr(arr.shape), arrx.size, arr.dtype, arr.min(), arr.max(), arr.mean(), arr.std()))
# need to swap coordinates btw array and image (with [::-1])
if len(arr.shape) == 2 :
im = Image.frombytes('L', arr.shape[::-1], arr.tostring())
else :
im = Image.frombytes('RGB', (arr.shape[1],arr.shape[0]), arr.tostring())
return im
def get_last_environment_map(self):
if self.last_environment_map is None:
faceh = self.cubemap_face_yres
facew = self.cubemap_face_xres
nchan = self.last_optical_images['posy'].shape[2]
imnx = numpy.empty( (faceh*3,facew*4,nchan), dtype = numpy.uint8)
if nchan == 4:
# make background transparent (alpha channel = 0)
initvalue = 0
else:
# make background white
initvalue = 255
imnx.fill(initvalue)
yi0 = faceh
yi1 = 2*faceh
xi0 = 0
xi1 = facew
imnx[yi0:yi1,xi0:xi1,:] = self.last_optical_images['posy']
xi0 = 2*facew
xi1 = 3*facew
imnx[yi0:yi1,xi0:xi1,:] = self.last_optical_images['negy']
xi0 = 3*facew
xi1 = 4*facew
imnx[yi0:yi1,xi0:xi1,:] = self.last_optical_images['negx']
xi0 = facew
xi1 = 2*facew
imnx[yi0:yi1,xi0:xi1,:] = self.last_optical_images['posx']
yi0 = 0
yi1 = faceh
imnx[yi0:yi1,xi0:xi1,:] = self.last_optical_images['negz']
yi0 = 2*faceh
yi1 = 3*faceh
imnx[yi0:yi1,xi0:xi1,:] = self.last_optical_images['posz']
if nchan == 3:
im = Image.frombytes('RGB',(imnx.shape[1],imnx.shape[0]),imnx.tostring())
elif nchan == 4:
im = Image.frombytes('RGBA',(imnx.shape[1],imnx.shape[0]),imnx.tostring())
im = im.transpose( Image.FLIP_TOP_BOTTOM )
self.last_environment_map = im
return self.last_environment_map
def savepng():
buffer = ( GLubyte * (3*width*height) )(0)
glReadPixels(0, 0, width, height, GL_RGB, GL_UNSIGNED_BYTE, buffer)
image = Image.frombytes(mode="RGB", size=(width, height), data=buffer)
image = image.transpose(Image.FLIP_TOP_BOTTOM)
now_time = datetime.datetime.now()
image.save('screen/'+now_time.strftime("%Y%m%d-%H%M")+'.png', format = 'png')
def save(filename, width, height, fmt, pixels, flipped=False):
image = PILImage.frombytes(fmt.upper(), (width, height), pixels)
if flipped:
image = image.transpose(PILImage.FLIP_TOP_BOTTOM)
image.save(filename)
return True
def printViewer(self):
"""Save current buffer to filename in format"""
from global_vars import CAIDViewerWildcard
# Create a save file dialog
dialog = wx.FileDialog ( None, style = wx.SAVE | wx.OVERWRITE_PROMPT
, wildcard=CAIDViewerWildcard)
# Show the dialog and get user input
if dialog.ShowModal() == wx.ID_OK:
filename="test.jpeg"
try:
filename = dialog.GetPath()
except:
pass
ext = filename.split('.')[-1]
if ext == "jpeg":
fmt="JPEG"
if ext == "png":
fmt="PNG"
import Image # get PIL's functionality...
import os
x,y,width,height = glGetDoublev(GL_VIEWPORT)
width = int(width)
height = int(height)
glPixelStorei(GL_PACK_ALIGNMENT, 1)
data = glReadPixels(x, y, width, height, GL_RGB, GL_UNSIGNED_BYTE)
# image = Image.fromstring( "RGB", (width, height), data )
image = Image.frombytes( "RGB", (width, height), data )
image = image.transpose( Image.FLIP_TOP_BOTTOM)
image.save( filename, fmt )
self.statusbar.SetStatusText("Image has been saved in " + filename)
# Destroy the dialog
dialog.Destroy()
def getColour(IP, PORT):
"""
First get an image from Nao, then show it on the screen with PIL.
:param IP:
:param PORT:
"""
myBroker = ALBroker("myBroker",
"0.0.0.0", # listen to anyone
0, # find a free port and use it
IP, # parent broker IP
PORT) # parent broker port
camProxy = ALProxy("ALVideoDevice", IP, PORT)
resolution = 2 # VGA
colorSpace = 11 # RGB
videoClient = camProxy.subscribe("python_client", resolution, colorSpace, 5)
t0 = time.time()
# Get a camera image.
# image[6] contains the image data passed as an array of ASCII chars.
naoImage = camProxy.getImageRemote(videoClient)
t1 = time.time()
# Time the image transfer.
#print "Runde: ", b
camProxy.unsubscribe(videoClient)
# Now we work with the image returned and save it as a PNG using ImageDraw
# package.
# Get the image size and pixel array.
imageWidth = naoImage[0]
imageHeight = naoImage[1]
array = naoImage[6]
#Create a PIL Image Instance from our pixel array.
img0= Image.frombytes("RGB", (imageWidth, imageHeight), array)
#frame=np.asarray(convert2pil(img0)[:,:])
#object_rect2=detectColor(img0, RED_MIN,RED_MAX)
frame=detectShape(img0, RED_MIN,RED_MAX)
#frame=selectDetected(object_rect1,frame)
#frame=selectDetected(object_rect2,frame)
# currentImage = path+ "/camImage1cm.jpg"
# cv2.imwrite(currentImage, frame)
cv2.imshow('contour',frame)
cv2.waitKey(0)
cv2.destroyAllWindows()
def arrayToImage(a):
"""
Converts a gdalnumeric array to a
Python Imaging Library Image.
"""
i=Image.frombytes('L',(a.shape[1],a.shape[0]),
(a.astype('b')).tostring())
return i
def savepng(self):
buffer = ( GLubyte * (3*800*600) )(0)
glReadPixels(0, 0, 800, 600, GL_RGB, GL_UNSIGNED_BYTE, buffer)
image = Image.frombytes(mode="RGB", size=(800, 600), data=buffer)
image = image.transpose(Image.FLIP_TOP_BOTTOM)
now_time = datetime.datetime.now()
savename = 'screen/'+now_time.strftime("%Y%m%d-%H%M%S")+'.png'
print 'save image to '+savename
image.save(savename, format = 'png')
def addImage(snbFile,canvas,image,rels,element):
imgFileName = "snote/"+rels[image.getAttribute("r:id")]
imgStr = zipRead(snbFile,imgFileName)
if imgFileName.endswith(".zdib"):
imgStr = decompress(imgStr)
width = ord(imgStr[5]) * 256 + ord(imgStr[4])
height = ord(imgStr[9]) * 256 + ord(imgStr[8])
try:
img = Image.frombytes("RGBA",(width,height),imgStr[52:])
except:
img = Image.fromstring("RGBA",(width,height),imgStr[52:])
canvas.drawInlineImage(alpha_to_color(img),0,0,595.27,841.89)
else:
style = imagePoss(element.getElementsByTagName("v:shape")[0].getAttribute("style"))
img=Image.open(BytesIO(imgStr))
canvas.drawInlineImage(img,style.left,style.bottom,style.width,style.height)
def mainModule(IP, PORT):
"""
First get an image from Nao, then show it on the screen with PIL.
:param IP:
:param PORT:
"""
myBroker = ALBroker("myBroker",
"0.0.0.0", # listen to anyone
0, # find a free port and use it
IP, # parent broker IP
PORT) # parent broker port
camProxy = ALProxy("ALVideoDevice", IP, PORT)
resolution = 2 # VGA
colorSpace = 11 # RGB
videoClient = camProxy.subscribe("python_client", resolution, colorSpace, 5)
t0 = time.time()
# Get a camera image.
# image[6] contains the image data passed as an array of ASCII chars.
naoImage = camProxy.getImageRemote(videoClient)
t1 = time.time()
# Time the image transfer.
#print "Runde: ", b
camProxy.unsubscribe(videoClient)
# Now we work with the image returned and save it as a PNG using ImageDraw
# package.
# Get the image size and pixel array.
imageWidth = naoImage[0]
imageHeight = naoImage[1]
array = naoImage[6]
#Create a PIL Image Instance from our pixel array.
img0= Image.frombytes("RGB", (imageWidth, imageHeight), array)
frame = visualize(img0, dict)
showImage('contour', frame)
def dotest(outputname, nostamp):
plane = genbar()
palette = (0,0,0, 255,255,255) + (128,128,128)*254
try:
img = Image.frombytes("P", plane.size, plane.tobytes())
except AttributeError:
# note: https://github.com/python-pillow/Pillow/issues/63
img = Image.fromstring("P", plane.size, plane.tostring())
img.putpalette(palette)
with tempfile.NamedTemporaryFile(delete = False, suffix = ".gif") as f:
gif1 = f.name
with tempfile.NamedTemporaryFile(delete = False, suffix = ".gif") as f:
gif2 = f.name
img.save(gif1, "GIF", optimize = 0)
img.save(gif2, "GIF", transparency = 1, optimize = 0)
pdf = FPDF()
if nostamp:
pdf._putinfo = lambda: common.test_putinfo(pdf)
pdf.add_page()
pdf.set_font('Arial', '', 16)
pdf.write(8, "Transparency")
pdf.ln()
pdf.write(8, " Transparency")
pdf.ln()
pdf.write(8, " Transparency")
pdf.ln()
pdf.image(gif1, x = 15, y = 15)
pdf.write(8, "Transparency")
pdf.ln()
pdf.write(8, " Transparency")
pdf.ln()
pdf.write(8, " Transparency")
pdf.ln()
pdf.image(gif2, x = 15, y = 39)
pdf.output(outputname, 'F')
os.unlink(gif1)
os.unlink(gif2)
def _get_image_from_pdf(self, page_nr=1, max_width=None, max_height=None,
angle=0, output_format='JPEG', restricted=False):
"""Render a pdf page as image."""
if restricted and (page_nr > 1):
raise ApplicationError.PermissionDenied(
"Your are not allowed to see this document.")
if self._doc.getNumPages() < page_nr:
raise ApplicationError.InvalidArgument(
"Bad page number: it should be < %s." %
self._doc.getNumPages())
import time
self.logger.debug("Render image from pdf with opts width=%s, "\
"height=%s, angle=%s, page_nr=%s." % (max_width, max_height, angle,
page_nr))
start = time.clock()
splash = poppler.SplashOutputDev(poppler.splashModeRGB8, 3, False,
(255, 255, 255), True, True)
splash.startDoc(self._doc.getXRef())
scale = self._get_optimal_scale(max_width, max_height, page_nr)
self._doc.displayPage(splash, page_nr, 72*scale, 72*scale, -angle, True,
True, False)
bitmap = splash.getBitmap()
new_width = bitmap.getWidth()
new_height = bitmap.getHeight()
if restricted and ((MVOConfig.Security.pdf_max_width < new_width)\
or (MVOConfig.Security.pdf_max_height < new_height)):
raise ApplicationError.PermissionDenied(
"Your are not allowed to see this document.")
pil = Image.frombytes('RGB', (new_width, new_height),
bitmap.getDataPtr())
temp_file = cStringIO.StringIO()
pil.save(temp_file, "JPEG", quality=90)
temp_file.seek(0)
content = temp_file.read()
self.logger.debug("Total Process Time: %s", (time.clock() - start))
#header = [('content-type', 'image/jpeg'), ('content-length',
#str(len(content)))]
return('image/jpeg', content)
def image_to_pil(image):
#
#import Image
""" Method will convert wx.Image to PIL Image """
#pil = Image.new('RGB', (image.GetWidth(), image.GetHeight()))
#pil.fromstring(image.GetData())
data = image.GetData()
import sys
if isinstance(image.GetData(), bytearray):
if sys.version_info > (3, 0):
data = bytes(data)
else:
data = str(data)
pil = Image.frombytes('RGB', (image.GetWidth(), image.GetHeight()),
data)
print pil
return pil
def export_define_bits(self, tag):
png_buffer = BytesIO()
image = None
if isinstance(tag, TagDefineBitsJPEG3):
tag.bitmapData.seek(0)
tag.bitmapAlphaData.seek(0, 2)
num_alpha = tag.bitmapAlphaData.tell()
tag.bitmapAlphaData.seek(0)
image = Image.open(tag.bitmapData)
if num_alpha > 0:
image_width = image.size[0]
image_height = image.size[1]
image_data = image.getdata()
image_data_len = len(image_data)
if num_alpha == image_data_len:
buff = ""
for i in range(0, num_alpha):
alpha = ord(tag.bitmapAlphaData.read(1))
rgb = list(image_data[i])
buff += struct.pack("BBBB", rgb[0], rgb[1], rgb[2], alpha)
image = Image.frombytes("RGBA", (image_width, image_height), buff)
elif isinstance(tag, TagDefineBitsJPEG2):
tag.bitmapData.seek(0)
image = Image.open(tag.bitmapData)
else:
tag.bitmapData.seek(0)
if self.jpegTables is not None:
buff = BytesIO()
self.jpegTables.seek(0)
buff.write(self.jpegTables.read())
buff.write(tag.bitmapData.read())
buff.seek(0)
image = Image.open(buff)
else:
image = Image.open(tag.bitmapData)
self.export_image(tag, image)
def cv2_pil(cv_im):
# Convert the cv image to a PIL image
return Image.frombytes("L", cv.GetSize(cv_im), cv_im.tostring())
def get_image(self):
"""Get a new image from the camera."""
for _ in range(5): #HACK TODO document this
im = cv.QueryFrame(self._cam)
return Image.frombytes("RGB", cv.GetSize(im), im.tobytes(), "raw",
"BGR", 0, 1)
str_pos.append(n)
if str0[n] != " " and str0[n-1] ==" ":
str_pos.append(n)
# print str_pos
# print len(str_pos)
# print "line = ", (j) * (i+1) + i
# print " x =", str0[0:str_pos[0]]
# print " y = ", str0[str_pos[1]:str_pos[2]]
# print "value =", str0[str_pos[3]:str_pos[4]]
# print "conver str to int"
if str_pos[3] == str_pos[4]:
value = str0[str_pos[3]+1]
else:
value = str0[str_pos[3]:(str_pos[4]+1)]
if j * (i+1) + i >= 120:
byteArray = byteArray + value
# print byteArray
yx[j].append(value)
# print "value =", value
fo.close()
image = Image.frombytes("RGB", (300, 300), byteArray)
#image = Image.fromarray(yx, "RGB")
image.show()
image.save("test.png")
#print yx
#print byteArray
#image = Image.open(StringIO.StringIO(1024 * 1124)
#str_pos = []
def save_data(params):
name = params.name
gesture = params.gesture
display = params.display
controller = display.controller
devices = controller.devices
if len(devices) == 0:
return 'no_device'
frame = controller.frame()
while not frame.is_valid:
if(params._stop.is_set()):
return 'exit'
frame = controller.frame()
hands = frame.hands
controller.set_policy(Leap.Controller.POLICY_IMAGES)
while len(hands) == 0:
if(params._stop.is_set()):
return 'exit'
frame = controller.frame()
hands = frame.hands
# time.sleep(1)
# while True:
# if(params._stop.is_set()):
# return 'exit'
# frame = controller.frame()
# hands = frame.hands
# if len(hands) > 0:
# if(params._stop.is_set()):
# return 'exit'
# confidence_now = hands[0].confidence
# display.update_confidence_label(confidence_now)
# if confidence_now >= display.confidence:
# break
image = frame.images[0]
d = {}
d['utc'] = str(datetime.datetime.utcnow())
d['name'] = name
d['gesture'] = gesture
# print 'Confidence: ' + str(confidence_now)
for hand in hands:
if hand.is_valid:
print 'Valid hand'
if hand.is_right:
which_hand = 'right_hand'
else:
which_hand = 'left_hand'
hand_palm_position = hand.palm_position
d[which_hand] = {}
d[which_hand]['confidence'] = hand.confidence
d[which_hand]['direction'] = (hand.direction-hand_palm_position).to_tuple()
d[which_hand]['grab_strength'] = hand.grab_strength
d[which_hand]['palm_normal'] = (hand.palm_normal-hand_palm_position).to_tuple()
d[which_hand]['palm_position'] = (hand.palm_position-hand_palm_position).to_tuple()
d[which_hand]['palm_velocity'] = hand.palm_velocity.to_tuple()
d[which_hand]['palm_width'] = hand.palm_width
d[which_hand]['sphere_center'] = (hand.sphere_center-hand_palm_position).to_tuple()
d[which_hand]['sphere_radius'] = hand.sphere_radius
d[which_hand]['stabilized_palm_position'] = (hand.stabilized_palm_position-hand_palm_position).to_tuple()
arm = hand.arm
d[which_hand]['arm'] = {}
d[which_hand]['arm']['direction'] = arm.direction.to_tuple()
d[which_hand]['arm']['elbow_position'] = (arm.elbow_position-hand_palm_position).to_tuple()
d[which_hand]['arm']['wrist_position'] = (arm.wrist_position-hand_palm_position).to_tuple()
fingers = hand.fingers
for finger in fingers:
if finger.type == Finger.TYPE_THUMB:
which_finger = 'thumb'
elif finger.type == Finger.TYPE_INDEX:
which_finger = 'index'
elif finger.type == Finger.TYPE_MIDDLE:
which_finger = 'middle'
elif finger.type == Finger.TYPE_RING:
which_finger = 'ring'
elif finger.type == Finger.TYPE_PINKY:
which_finger = 'pinky'
else:
break
d[which_hand][which_finger] = {}
d[which_hand][which_finger]['direction'] = finger.direction.to_tuple()
d[which_hand][which_finger]['length'] = finger.length
d[which_hand][which_finger]['stabilized_tip_position'] = (finger.stabilized_tip_position-hand_palm_position).to_tuple()
d[which_hand][which_finger]['tip_position'] = (finger.tip_position-hand_palm_position).to_tuple()
d[which_hand][which_finger]['tip_velocity'] = finger.tip_velocity.to_tuple()
d[which_hand][which_finger]['width'] = finger.width
for i in range(4):
bone = 'bone_' + str(i)
d[which_hand][which_finger][bone] = {}
d[which_hand][which_finger][bone]['center'] = (finger.bone(i).center-hand_palm_position).to_tuple()
d[which_hand][which_finger][bone]['direction'] = finger.bone(i).direction.to_tuple()
d[which_hand][which_finger][bone]['length'] = finger.bone(i).length
d[which_hand][which_finger][bone]['width'] = finger.bone(i).width
d[which_hand][which_finger][bone]['next_joint'] = (finger.bone(i).next_joint-hand_palm_position).to_tuple()
d[which_hand][which_finger][bone]['prev_joint'] = (finger.bone(i).prev_joint-hand_palm_position).to_tuple()
else:
print 'Not a valid hand'
ret = mongo.save(d, display.db_name, display.collection_name)
if(ret.startswith('success')):
[ret, oid] = ret.split(' ')
if image.is_valid:
print 'valid image'
directory = os.path.join(os.getcwd(), 'images/')
extension = '.png'
tmp_file = 'tmp' + extension
data = image.data
barray = bytearray(image.width * image.height)
for d in range(0, image.width * image.height - 1):
barray[d] = data[d]
img = Image.frombytes('L', (image.width, image.height), buffer(barray))
img.save(directory + tmp_file)
img = io.imread(directory + tmp_file)
thresh = filters.threshold_isodata(img)
bw_img = img > thresh
io.imsave(directory + oid + extension, util.img_as_ubyte(bw_img))
os.remove(directory + tmp_file)
else:
print 'invalid image'
return ret + ' ' + oid + ' ' + display.db_name + ' ' + display.collection_name
else:
return ret
import Image, hashlib
from Crypto import Random
from Crypto.Cipher import AES
im = Image.open('heckert_gnu.png')
raw = im.tobytes()
IV = Random.new().read(AES.block_size)
#print raw
#print im
key = hashlib.sha256("password".encode()).digest()
mode = AES.MODE_ECB
encryptor = AES.new(key, mode, IV=IV)
encrypted_bytes = encryptor.encrypt(raw)
im_out = Image.frombytes(im.mode, im.size, encrypted_bytes)
im_out.save('ECB.png')