def test():
db = Database()
img = Image.open(config.test_files_dir + 'test1.jpg')
start = time.time()
db.find_in_directory(img)
finish = time.time()
duration = "%0.3f" % (finish - start)
print "\nDuration for duplicates search in directory with " + str(
db.images_count) + " images is: " + duration + " ms"
def store_fl():
hashing = Hashing()
db = Database()
links = []
names = []
imgs = []
db_data = []
base_url = "https://en.wikipedia.org"
house_plants = base_url + "/wiki/Category:House_plants"
r = requests.get(house_plants)
data = r.text
soup = BeautifulSoup(data)
print "Getting plant names..."
for link in soup.select("div.mw-category-group a"):
lnk = link.get('href')
name = link.get('title')
links.append(lnk)
names.append(name)
print "Getting plant images..."
for link, name in zip(links, names):
r = requests.get(base_url + link)
data = r.text
soup = BeautifulSoup(data)
img = soup.select("table.infobox a.image img")
if img:
imgs.append(img[0].get('src'))
else:
imgs.append("No image for " + name)
print "Downloading plant images, counting dHash, preparing csv file..."
for img, name, link in zip(imgs, names, links):
item_data = collections.OrderedDict()
if "No image" not in img:
img_path = config.images_dir + name + ".jpg"
if not os.path.exists(img_path):
r = requests.get("http:" + img, stream=True)
if r.status_code == 200:
with open(img_path, 'wb') as f:
for chunk in r.iter_content():
f.write(chunk)
item_data['Name'] = name
item_data['WikiUrl'] = base_url + link
if "No image" not in img:
item_data['ImagePath'] = img_path
imgh = Image.open(img_path)
item_data['dHash'] = hashing.build_dhash(imgh)
else:
item_data['ImagePath'] = "No Image Available"
item_data['dHash'] = "No dHash Available"
db_data.append(item_data)
db.build_full_db(db_data)
def init_db():
db = Database()
db.calculate_hash_strings_in_dir(config.images_dir)
def test():
db = Database()
img = Image.open(config.test_files_dir + 'Boea.jpg')
db.find_in_full_database(img)
