def train(self, text, w):
assert 2 * w + 1 == len(self.skew)
# starting frame: center can be accessed via frame[0] + w
frame = (-w, w)
tlen = len(text)
for i in range(0, tlen):
self.update_net(frame, text)
frame = (frame[0] + 1, frame[1] + 1)
progress = (i + 0.) / tlen
progressbar.update_progress(progress)
def greedyinit(self, ):
# pass
np.random.shuffle(self.bd)
# flags = np.zeros(self.N, dtype=np.bool) # all False
# choices = np.arange(self.N)
reached = False
self.threshold = 100
print("greedy initialization")
for i in range(self.N):
if self.with_progressbar_when_initializing:
update_progress(i / self.N)
if not reached:
if self.dp[self.N - self.bd[i] +
i] == 0 and self.dn[self.bd[i] + i + 1] == 0:
self.dp[self.N - self.bd[i] + i] += 1
self.dn[self.bd[i] + i + 1] += 1
else:
foundit = False
for j in range(self.threshold):
# print("i = {}, self.N = {}".format(i,self.N))
tmp = np.random.randint(i, self.N)
if self.dp[self.N - tmp + i] == 0 and self.dn[tmp + i +
1] == 0:
self.bd[i], self.bd[tmp] = self.bd[tmp], self.bd[i]
self.dp[self.N - self.bd[i] + i] += 1
self.dn[self.bd[i] + i + 1] += 1
foundit = True
break
if j == self.threshold - 1:
# print("sldjflsjfas;djf;lsdfj;alskdjfsa;djfs;aokfsalkdjf;asldfja;sldkfjl;sdf")
reached = True
break
# reached = True if j == threshold-1
if not foundit:
self.dp[self.N - self.bd[i] + i] += 1
self.dn[self.bd[i] + i + 1] += 1
else:
self.dp[self.N - self.bd[i] + i] += 1
self.dn[self.bd[i] + i + 1] += 1
# self.dp[self.N-self.bd[i]+i] += 1
# self.dn[self.bd[i]+i+1] += 1
total = 0
for i in self.dn:
if i > 1:
total += i - 1
for j in self.dp:
if j > 1:
total += j - 1
self.collisions = total
self.compute_attack_matrix()
def repair(self, withprogressbar=False):
self.iter_num = 0
while self.collisions > 0:
self.iter_num += 1
# print("enter first loop")
self.randinit()
self.collisions = self.compute_collisions()
# print(self.collisions)
self.limit = self.collisions * self.C1
# self.compute_attacks()
self.loopcount = 0
# print("iternum = {}".format(self.iter_num))
print("\niteration {}".format(self.iter_num))
while self.loopcount <= self.C2 * self.N:
# print("loop count = {}, self.C2 * self.N = {}".format(self.loopcount,self.C2 * self.N))
# print(float(self.loopcount) / (self.C2 * self.N))
if withprogressbar:
update_progress(float(self.loopcount) / (self.C2 * self.N))
# print("enter second loop")
# for k in range(self.number_of_attacks):
# print(self.attack)
for i in self.attack:
# print("third loop's {}".format(i))
j = np.random.randint(0, self.N) # choose j
if self.swap_ok(i, j):
# print("swap ok@@ ")
# self.printall()
self.perform_swap(
i, j) # update collision matrix and board
# self.collisions -= diff # update collision
# print("see if collision is wrong",self.collisions)
if self.collisions == 0:
return
if self.collisions < self.limit:
self.limit = self.C1 * self.collisions
self.compute_attack_matrix()
self.loopcount += len(self.attack)
# break
return True
def find_utt_info():
# Finding prices accoruding to ultimateteamtrading.com
# Only using these prices as a starting point as they are not updated
# frequently enough
print "Fetching information from ultimateteamtrading.com"
i = 0
for p in params[1:]:
update_progress(i/float(len(params[1:])))
i+=1
r = requests.get(p[0]+'?position='+p[1])
if len(p) == 2: #first run
# Find nation and team
data = r.text.split('<div id="playerFlags">')[1]\
.split('<div id="cardstats">')[0].split('<br>')
p.append(data[1].strip()) # nation
p.append(convert_name(data[2].strip())) #team
# Find name
p.append((r.text.split('<title>')[1][2:].split('FUT 14')[0].strip()))
p.append(0) #dummies
p.append(0) #dummies
p.append(0) #dummies
# Find last updated time
updated_ago = int(r.text.split('Update:')[1].split('minutes')[0].strip())
# Find price
data = r.text.split('<div class="number priceNumber">')[1]\
.split('<')[0].strip()
if "," in data:
data = data.split(',')[0] +data.split(',')[1]
p[-3] = futfunctions.fut_round(int(data))
if updated_ago < 6:
p[-2] = futfunctions.lower_price(int(data))
else:
p[-2] = 0
if p[-3] == 0:
print "Error in utt. Player missing price from site!"
print p
update_progress(1.0)
print
# Mowed
GRT1 = imread(args.class1)
# Resizing
GRT0 = GRT0[res_i[0]:res_i[1],res_j[0]:res_j[1]]
GRT1 = GRT1[res_i[0]:res_i[1],res_j[0]:res_j[1]]
# Labelling
im_parcels = (GRT0 < 255).astype(np.uint8)
N0, im_parcels0 = cv2.connectedComponents(im_parcels)
im_parcels = (GRT1 < 255).astype(np.uint8)
N1, im_parcels1 = cv2.connectedComponents(im_parcels)
print('Overlay removal')
update_progress(0)
nbrem = 0
for n in range(1, N0):
t_start = time()
if np.min(GRT1[im_parcels0 == n]) == 1:
GRT0[im_parcels0 == n] = 255
nbrem += 1
update_progress((n-1)/(N0-0.9), (time()-t_start)*(N0-n-1))
####################
## Labelling
#im_parcels = (GRT0 < 255).astype(np.uint8)
#N0, im_parcels0 = cv2.connectedComponents(im_parcels)
parser.add_argument('-g',
'--groundtruth',
help='Groundtruth vector',
required=True)
parser.add_argument('-p', '--parcels', help='Parcel image', required=True)
parser.add_argument('-d',
'--datesgrid',
help='Dates grid array',
required=True)
parser.add_argument('-t',
'--tiledir',
help='Directory to the modal dataset',
required=True)
args = parser.parse_args()
update_progress(0)
res_i = (0, 7000)
res_j = (2500, 9500)
df_dates = pd.read_csv(args.datesgrid, index_col='Unnamed: 0')
df_dates = df_dates.drop('dates', axis=1)
GRT = np.load(args.groundtruth)
im_parcels = imread(args.parcels)
N = np.max(im_parcels) # nb of parcels
T = len(df_dates) # nb of dates
nbS2_im = len(
glob(args.tiledir + '/*/*/*%s*/*.tif' % (df_dates['dateS2str'][0])))
nbS1_pol = 3
def find_prices_ea():
time_between_checks = int(3600)
if relist_mode: return None
if int(time.time() - params[0]) < time_between_checks\
and len([p for p in params[1:] if p[-2]==0]) == 0\
and len([p for p in params[1:] if p[-1]==0]) == 0:
return None
# Starting with getting info from utt14.com
# this is faster
find_utt_info()
# Finding prices from ultimate team webapp
print time.ctime()+": Fetching prices from the web app. "
count = 50
i = 0
for p in params[1:]:
i+=1
update_progress(i/float(len(params[1:])))
sell_price = futfunctions.higher_price(p[-3])
if int(time.time() - params[0]) < time_between_checks and p[-2] > 0 and p[-1] > 0:
continue
while sell_price > 0:
# check if prices from utt are old or missing
# resource id
# p[-2] is set to 0 in find_from_utt if updated time of prices is older than
# 5 minutes. p[-1] is 0 if no
if p[-2] != 0 and p[-1] != 0:
break
auctions = client.search_auctions(
card_type='player',pos=p[1],lev='gold',
nat=parameters.nation[p[2].replace(" ","")],
team=parameters.team[p[3].replace(" ","")],
max_bin=sell_price,count=count)
tmp_count = 0
for card in auctions:
# Find resource ID by checking name and rating
if card.name.split(' ')[-1].lower() in p[0] and str(card.rating)\
in p[0] and card.resourceID not in p:
p[-1] = card.resourceID
# Count number of correct cards we found
if card.resourceID == p[-1]:
tmp_count +=1
if p[-2] != 0:
# We have resourceid and price
break
if p[-1] == 0:
# Sometimes we cant find any players and therefor not any resid
# increasing price to make sure we find the player
if sell_price > p[-3]*3:
# i.e. something is bugged. to avoid endless loop
sell_price = 0
break
sell_price = futfunctions.fut_round(sell_price*1.2)
tmp_count=count
if tmp_count > int(count/2):
sell_price= futfunctions.lower_price(sell_price)
else:
p[-2] = futfunctions.lower_price(sell_price)
# make sure the price we have found is lower than the one given
# on utt14.com
p[-2] = min(p[-2],futfunctions.lower_price(p[-3]))
break
if int(time.time() - params[0]) > time_between_checks:
params[0] = int(time.time())
update_progress(i/float(len(params[1:])))
pickle.dump(params, open( "players_to_buy.p", "wb" ))
def folder(images_directory, res_type='FRE', im_format='tif'):
'''
Input: Images directory (location of SENTINEL-2 *FOLDER*)
Resolution type (default FRE : Full REsolution)
Image format (default TIF)
Process: Writting of vegetation index images in specified format and in specified folder
Output: Surprise (if it works well TT)
'''
images_dir = glob(images_directory + '/*')
I = len(images_dir)
for i, im_dir in enumerate(images_dir):
update_progress(max(0, (i - 4 / 5)) / (I - 0.9))
B3 = cv2.imread(
glob(im_dir + '/*_' + res_type + '_' + 'B3.' + im_format)[0],
-1).astype('float32')
B5 = cv2.imread(
glob(im_dir + '/*_' + res_type + '_' + 'B5.' + im_format)[0],
-1).astype('float32')
B5 = cv2.resize(B5, (10980, 10980), 2, 2, cv2.INTER_CUBIC)
im = Image.fromarray(nari(B3, B5).astype('float32'))
im.save(glob(im_dir + '/*_FRE_B2.tif')[0][:-6] + 'NARI.' + im_format)
im = None # release memory
B3 = None # release memory
B5 = None # release memory
update_progress(max(0, (i - 3 / 5)) / (I - 0.9))
B4 = cv2.imread(
glob(im_dir + '/*_' + res_type + '_' + 'B4.' + im_format)[0],
-1).astype('float32')
B8 = cv2.imread(
glob(im_dir + '/*_' + res_type + '_' + 'B8.' + im_format)[0],
-1).astype('float32')
im = Image.fromarray(ndvi(B4, B8).astype('float32'))
im.save(glob(im_dir + '/*_FRE_B2.tif')[0][:-6] + 'NDVI.' + im_format)
im = None # release memory
update_progress(max(0, (i - 2 / 5)) / (I - 0.9))
im = Image.fromarray(savi(B4, B8).astype('float32'))
im.save(glob(im_dir + '/*_FRE_B2.tif')[0][:-6] + 'SAVI.' + im_format)
im = None # release memory
update_progress(max(0, (i - 1 / 5)) / (I - 0.9))
B2 = cv2.imread(
glob(im_dir + '/*_' + res_type + '_' + 'B2.' + im_format)[0],
-1).astype('float32')
im = Image.fromarray(evi(B2, B4, B8).astype('float32'))
im.save(glob(im_dir + '/*_FRE_B2.tif')[0][:-6] + 'EVI.' + im_format)
im = None # release memory
B2 = None # release memory
B4 = None # release memory
B8 = None # release memory
update_progress(i / (I - 0.9))
return True
im = Image.fromarray(savi(B4, B8).astype('float32'))
im.save(glob(im_dir + '/*_FRE_B2.tif')[0][:-6] + 'SAVI.' + im_format)
im = None # release memory
update_progress(max(0, (i - 1 / 5)) / (I - 0.9))
B2 = cv2.imread(
glob(im_dir + '/*_' + res_type + '_' + 'B2.' + im_format)[0],
-1).astype('float32')
im = Image.fromarray(evi(B2, B4, B8).astype('float32'))
im.save(glob(im_dir + '/*_FRE_B2.tif')[0][:-6] + 'EVI.' + im_format)
im = None # release memory
B2 = None # release memory
B4 = None # release memory
B8 = None # release memory
update_progress(i / (I - 0.9))
return True
for images_directory in args.folders:
print()
print('Processing of ' '%s' '' % (images_directory))
update_progress(0)
if folder(images_directory):
update_progress(1)
print('Everything' 's done !')
