def format(birds, content, min, max, avg, location, operator):
import getImage
titles = {'link': 'Link',
'sname':'Scientific Name',
'cname':'Common Name',
'dist':'Distribution',
'mass':'Mass',
'photo':'Photo'
}
#it is important that the content list is in the same order as the birds list
#must go through them in reverse order so that it doesn't try ot access a postion whic no longer exists once they get suffled down
for i in range(len(birds)):
if 'photo' in content:
photolink = getImage.getImage(birds[i][2])
birds[i].append(photolink)
if 'mass' not in content:
del birds[i][4]
if 'dist' not in content:
del birds[i][3]
if 'link' not in content:
del birds[i][2]
if 'sname' not in content:
del birds[i][1]
if 'cname' not in content:
del birds[i][0]
#create the headrow
headrow = []
for key in content:
headrow.append(titles[key])
#create a blurb for each condition
conditions = []
if min and max:
conditions.append('mass between ' + str(min) + 'g and ' + str(max) + 'g ')
elif min:
conditions.append('mass greater than ' + str(min) + 'g ')
elif max:
conditions.append('mass less than ' + str(max) + 'g ')
if avg:
conditions.append('average mass of ' + str(avg) + 'g ')
if location:
conditions.append('located in ' + location)
op = ', ' + operator + ' '
#create a description for each type of result
if not birds:
description = "no results to display, try different search terms"
elif not headrow:
description = "There are " + str(len(birds)) + " results to your search, but you didn't select any data to display!"
else:
description = str(len(birds)) + ' results found. Displaying all birds with: ' + op.join(conditions)
#return the result
return [birds, headrow, description]
def explodeGame(self):
"""
Make an explosion effect on the screen as the grid is destroyed.
"""
# obtain the size of the playing area
size = (self.gridContainer.get_allocated_width(),
self.gridContainer.get_allocated_height())
# make the explosion flashImage
flashImage = getImage('Explosion')
updateImage(flashImage, 'Explosion', size)
self.gridContainer.add_with_viewport(flashImage)
# flash the explosion 5 times
for i in range(5):
# display the explosion
updateImage(self.startImage, 'Click', TOOL_SIZE)
flashImage.show()
pause(100) # wait 200ms without blocking the Gtk event loop
# hide the explosion
updateImage(self.startImage, 'Lose', TOOL_SIZE)
flashImage.hide()
pause(100) # wait 200ms without blocking the Gtk event loop
# ... then destroy the explosion image
flashImage.destroy()
def setupStatusBarIcon(self, iconName, imageName):
"""
Add an icon image to a status bar button.
"""
icon = self.builder.get_object(iconName)
image = getImage(imageName)
updateImage(image, imageName, STATUS_SIZE)
icon.add(image)
return icon
def sched_event():
now = datetime.datetime.now()
if (now.minute == 0):
conn = sqlite3.connect('eded.db')
c = conn.cursor()
for row in c.execute('SELECT * FROM users'):
try:
updater.bot.send_photo(row[0], photo=getImage())
except:
delete_user(row[0], c)
conn.commit()
conn.close()
t = threading.Timer(60, sched_event)
t.start()
def __init__(self, parent=None, pos=None, mined=False):
"""
Do the class initialization and prepare the game-specific
attributes.
"""
super().__init__()
# the game grid parent
self.parent = parent
# give the button a name for css styling
self.set_name("gridButton")
# this button's grid position.
self.pos = pos
# is this button mined?
self.mined = mined
self.exploded = False
# is this button flagged? - initialize to False
self.flagged = False
# initialize the mine count to zero
self.neighbourMines = 0
# initialize the neighbour flag count to zero
self.neighbourFlags = 0
# flag to emulate disabled when mines are exposed
self.exposed = False
# initialize the image to empty at 20 pixels
self.imageKey = 'Empty'
self.imageSize = GRID_SIZE
self.image = getImage(self.imageKey)
self.add(self.image)
updateImage(self.image, self.imageKey, self.imageSize)
# set up the GTK event handlers
self.connect("button_press_event", self.on_button_press_event)
self.connect("button_release_event", self.on_button_release_event)
def run(self):
self.oddCount = 0
self.oddList = []
# load the trained convolutional neural network
print("[INFO] loading network...")
self.model = load_model(self.modelFname)
print "Starting thread"
while (1):
imGray = getImage()
image = cv2.cvtColor(imGray, cv2.COLOR_GRAY2BGR)
if image is None:
print 'Error Retrieving Image'
else:
odd, self.outImg = self.classifyImage(image, True)
self.lastTime = datetime.now()
self.oddList.append(odd)
if len(self.oddList) > ODD_LIST_LEN:
self.oddList = self.oddList[1:]
self.meanOdd = sum(self.oddList) / len(self.oddList)
print self.oddList, self.meanOdd
time.sleep(1)
print "Exiting Thread"
import datetime
import os
outDir = "./images"
if (os.path.exists(outDir)):
if (os.path.isdir(outDir)):
print "Output Directory %s already exists - OK" % outDir
else:
print "ERROR: %s exists, but is not a Directory" % outDir
exit(-1)
else:
print "Creating output directory %s" % outDir
os.makedirs(outDir)
while True:
frame = getImage()
if frame is None:
print 'Error Retrieving Image'
#exit(-1)
else:
tVal = datetime.datetime.now()
fname = "img_%s.png" % (tVal.strftime("%Y%m%d%H%M%S"))
print "fname=%s" % (fname)
cv2.imwrite(os.path.join(outDir,fname),frame)
time.sleep(10)
print("Number of Odd Images Tested = %d" % nOdd)
print("Number of Odd Image Errors = %d" % nOddErr)
if (nOdd > 0):
print(" Odd Detection Reliability = %d%%" %
(100 - int(100 * nOddErr / nOdd)))
print("")
print("Number of Normal Images Tested = %d" % nNorm)
print("Number of Normal Image Errors = %d" % nNormErr)
if (nNorm > 0):
print(" Normal Detection Reliability = %d%%" %
(100 - int(100 * nNormErr / nNorm)))
print("")
else:
while True:
imGray = getImage()
#image = np.zeros((IM_SIZE[0],IM_SIZE[1],3), np.uint8)
image = cv2.cvtColor(imGray, cv2.COLOR_GRAY2BGR)
if image is None:
print 'Error Retrieving Image'
else:
odd, outimg = classifyImage(model, image, args['gui'])
if (args['gui']):
k = cv2.waitKey(1)
if k == 0x1b:
print 'Esc. Exiting'
break
if (odd > 0.5):
label = "**** ODD *****"
else:
label = "Normal"
getImage.nClass = 33 #2
height = getImage.height
width = getImage.width
nClass = getImage.nClass
TRAINfolderName = "data/KHimages/train/"
#fileName = "16/resized1A-16X0.png"
# interactive session allows inteleaving of building and running steps
sess = tf.InteractiveSession()
#label, image = getImage.getImage("data/train-00000-of-00001")
#label, image = getImage.getImage("data/train")
#label, image = getImage.getImage(TRAINfolderName + fileName)
label, image = getImage.getImage(TRAINfolderName + "train-00000-of-00001")
#print (label)
print("OK\n")
# and similarly for the validation data
TESTfolderName = "data/KHimages/validate/"
#vlabel, vimage = getImage.getImage("data/validation-00000-of-00001")
vlabel, vimage = getImage.getImage(TESTfolderName +
"/validation-00000-of-00001")
# associate the "label_batch" and "image_batch" objects with a randomly selected batch---
# of labels and images respectively
imageBatch, labelBatch = tf.train.shuffle_batch([image, label],
batch_size=100,
NumberOfImages = 100 # the number of images you want [0-100000]
colors = [
'red', 'blue', 'black', 'yellow', 'green', 'red', 'blue', 'black',
'yellow', 'green'
] # choose a set of colors that gonna be used
# create output directory
if not os.path.exists(AggregateOutputPath):
os.makedirs(AggregateOutputPath)
# Generate N images and save their information into json file that has the same name as image file
for idx in range(1, NumberOfImages + 1):
tag = 'Image(' + str(idx) + ')' + str(uuid.uuid4())
imageName = tag + '.png'
jsonfile = tag + '.txt'
print("Creating Image Number {} of {}".format(idx, NumberOfImages))
resultFile = os.path.join(AggregateOutputPath, imageName)
image, canvas = getImage('RGB', (640, 480), 'white')
#Parameters = [random.choice(['True', 'False']),random.choice(['True', 'False']), random.choice(range(5, 20)), random.choice(range(0,90,5) )]
Distrotion = 0.1 # for slightly Distorted
#Distrotion = 0.5 # for heavily Distorted
Parameters = [
Distrotion, 'False',
random.choice(range(5, 20)),
random.choice(range(0, 90, 5))
]
#Choice = random.choice(range(0,6))
Choice = 5
Ver, FunName = Choose_from_Profile(Choice, Parameters)
print(FunName)
data = {
'ImageTag': [{
"File Name": FunName,
#print(sond.head())
# 2. for now: just use everything as train since i'm using this dummy system anyway.
# 2. (eventually: split into train and test groups)
# 3. loop through train images (using url's from dataframe)
scenScore = [0] * len(sond.index)
for index, row in sond.iterrows():
imgLink = row['Geograph URI']
# get the image, always write it to the same file name
print(imgLink)
if not "http://www" in imgLink:
continue
img = getImage.getImage(imgLink, 'myTest')
if img == None:
scenScore[index] = -1
continue
# 4. run basic CNN on train images
probs, classes = run_placesCNN_basic_gen.runBasicCNN()
totalScore = 0.
for i in range(len(probs)):
# 5. for now: assign my scenery score from leighDummyLabels.py according to labels and percentages.
# 5. (eventually: calculate scenery score based on what that paper did. retrain last layer of CNN?)
if classes[i] not in leighDummyLabels.leighLabels:
continue
thisDummyScore = leighDummyLabels.leighLabels[classes[i]]
totalScore += float(
def gImg0():
global text
text += " "
text += procImg.state
return getImage()
def initializeGUI(self):
"""
Load the main GUI elements from the .glade file.
"""
self.builder = Gtk.Builder()
self.builder.add_from_file(UI_BUILD_FILE)
self.builder.connect_signals(self)
# these are the toolbar widgets...
# game start
self.startButton = self.builder.get_object('startButton')
self.startImage = getImage('Start')
updateImage(self.startImage, 'Start', TOOL_SIZE)
self.startButton.add(self.startImage)
# hint request
self.hintButton = self.builder.get_object('hintButton')
self.hintImage = getImage('Hint')
updateImage(self.hintImage, 'Hint', TOOL_SIZE)
self.hintButton.add(self.hintImage)
self.hintButton.set_sensitive(False)
# periodic boundary condition toggle
self.pbcButton = self.builder.get_object('pbcButton')
self.pbcImage = getImage('PBC_Off')
updateImage(self.pbcImage, 'PBC_Off', TOOL_SIZE)
self.pbcButton.add(self.pbcImage)
self.pbcButton.set_sensitive(True)
# the configurationBox and its model
self.configurations = self.builder.get_object('configurations')
self.configurationBox = self.builder.get_object('configurationBox')
# an alternative quit button
self.resetButton = self.builder.get_object('resetButton')
self.resetImage = getImage('Reset')
updateImage(self.resetImage, 'Reset', TOOL_SIZE)
self.resetButton.add(self.resetImage)
# these are the status bar widgets...
# ...exposed count
self.exposedIcon = self.setupStatusBarIcon('exposedIcon', 'Exposed')
self.exposedCount = self.builder.get_object('exposedCount')
self.exposedLabel = self.builder.get_object('exposedLabel')
# ...hint count
self.hintIcon = self.setupStatusBarIcon('hintIcon', 'Query')
self.hintCount = self.builder.get_object('hintCount')
# ...flag count
self.flagIcon = self.setupStatusBarIcon('flagIcon', 'Flag')
self.flagCount = self.builder.get_object('flagCount')
self.flagLabel = self.builder.get_object('flagLabel')
# the game grid (blank for now)
self.gridContainer = self.builder.get_object('gridContainer')
self.gameGrid = None
self.previousAllocation = self.gridContainer.get_allocation()
# get references to the toolbar and status bar for size data.
self.toolbar = self.builder.get_object('toolBox')
self.statusbar = self.builder.get_object('statusBox')
# get a reference to the main window itself and display the window
self.window = self.builder.get_object('window')
