Exemplo n.º 1
0
def get_sift_dict(training_imgs, base_folder = TRAINING_PATH):
	''' given a list of image names (`training_imgs`) contained in the folder `base_folder`, return a dictionary mapping each image filename to its sift matrix (a matrix of keypoints) '''
	sift = Sift()
	sift_dict = {}
	mat_indices = {}
	for i, img in enumerate(training_imgs):
		sift_dict[img] = sift.extract_sift(os.path.join(base_folder, img))
	return sift_dict
Exemplo n.º 2
0
 def __init__(self,
              train_loader,
              test_loader,
              valida_folder,
              validation=False,
              sift_size=1152,
              n_classes=10,
              dropOut=True,
              bestModel_allLR=False,
              lrPair=[0.05, 0.05, 0.01],
              epochNum=350):
     self.model = None
     self.train_loader = train_loader
     self.test_loader = test_loader
     self.valida_folder = valida_folder
     self.validation = validation
     self.dropOut = dropOut
     self.global_loss = 100000000.0
     self.global_acc = 0
     self.global_model_path = './'
     self.lr = 0
     self.cuda = torch.cuda.is_available()
     self.train_batch_size = 256
     self.test_batch_size = 64
     self.best_loss = float("inf")
     self.best_epoch = -1
     self.dataset_path = './cifar10'
     self.gsync_save = True
     self.bestModel_allLR = bestModel_allLR
     self.lrPair = lrPair
     self.epochNum = epochNum
     self.sift_size = sift_size
     self.n_classes = n_classes
     self.sift = Sift()
Exemplo n.º 3
0
def cv_sift():
    data = request.get_json(silent=True)
    image = data['image']
    img = Sift(image)
    with open('./output/' + image[:-4] + '/' + image[:-4] + '.jpg', 'rb') as f:
        f = f.read()
        img_stream = base64.b64encode(f).decode()
    return img_stream
Exemplo n.º 4
0
	def __init__(self, distrDir):
		Sift.__init__(self, distrDir)
		self.thresh=500
		self.octaves=4
		self.layers=2
Exemplo n.º 5
0
 def __init__(self, distrDir):
     Sift.__init__(self, distrDir)
Exemplo n.º 6
0
 def __init__(self, distrDir):
     Sift.__init__(self, distrDir)
Exemplo n.º 7
0
# ~mikey

#rss_tools
from sift import Sift
#imports
import feedparser
from bs4 import BeautifulSoup
import sqlite3
from sqlite3 import Error
import requests

#rss.app currently Broken
rss_urls = [
    r"http://rss.slashdot.org/Slashdot/slashdotMain",  #Slashdot
    r"https://www.popsci.com/arcio/rss/",  #Popsci
    r"https://www.motherjones.com/feed/",  #Mother Jones
    r"http://science.sciencemag.org/rss/express.xml",  #Science Magazine
    #r"https://rss.app/feeds/JyMVgKu36v8JT4H0.xml", 	#ny times business
    #r"https://rss.app/feeds/uVCDwng32TgGk0nJ.xml", 	# ny times world
    #r"https://rss.app/feeds/fHPzIIzHJVqtIjr3.xml", 	 	#Entrpreneur
    #r"https://rss.app/feeds/1Pqsw7njparMZi7B.xml",  	#wired
    #r"https://rss.app/feeds/feANofWEfawQKkQr.xml",		#Fast Company
    r"https://plato.stanford.edu/rss/sep.xml",  #Philosophy Encyclopedia
    r"http://feeds.feedburner.com/tedtalks_video",  #ted Talk RSS Feed
    r"",
    r""
]

for feed in rss_urls:
    Sift(feed, 'wordsort.db')