def labelImage(self, imageURL):
app = ClarifaiApp()
d = app.tag_urls([imageURL])
#output list, value
count = 0
for key, value in d.iteritems():
if key == 'outputs':
subDict = value
break
for i in subDict:
for key, value in i.iteritems():
if key == 'data':
subDict = value
break
for key, value in subDict.iteritems():
if key == 'concepts':
subDict = value
break
for i in subDict:
for key, value in i.iteritems():
if key == 'name':
words.append(value)
if (len(words) % 4 == 0):
words.append('\n')
break
return words
def getWords(url):
subDict = None
words = []
app = ClarifaiApp()
imageURL = url
d = app.tag_urls([imageURL])
#output list, value
count = 0
for key, value in d.iteritems():
if key == 'outputs':
subDict = value
break
for i in subDict:
for key, value in i.iteritems():
if key == 'data':
subDict = value
break
for key, value in subDict.iteritems():
if key == 'concepts':
subDict = value
break
for i in subDict:
for key, value in i.iteritems():
if key == 'name':
words.append(value)
if (len(words) % 4 == 0):
words.append('\n')
break
return (" ".join(words))
class Clarifai():
def __init__(self, api_id, api_secret):
self.api_id = api_id
self.api_secret = api_secret
self.app = ClarifaiApp(self.api_id, self.api_secret)
def tag(self, filenames):
raw_tags = self.app.tag_files(filenames)
res = {}
if raw_tags['status']['description'] == 'Ok':
tagged_files = raw_tags['outputs']
for index, f in enumerate(tagged_files):
tags = f['data']['concepts']
tag_dict = {}
for tag in tags:
tag_dict[tag['name']] = tag['value']
filename = filenames[index]
res[filename] = tag_dict
return res
def tag_raw(self, files):
return self.app.tag_files(files)
def test(self):
res = self.app.tag_urls(['https://samples.clarifai.com/metro-north.jpg'])
if res['status']['description'] == 'Ok':
concepts = res['outputs'][0]['data']['concepts']
for concept in concepts:
print(concept['name'], concept['value'])
def get_images_by_tag(image_urls,
clientId,
clientSecret,
batch_size=128,
n=10):
app = ClarifaiApp(clientId, clientSecret)
# Image data store
# Key: tag
# Value: list of image url and tag value
images_by_tag = defaultdict(list)
err_count = 0
print "Tagging {} images...".format(len(image_urls))
for i in range(int(math.ceil(len(image_urls) / (batch_size * 1.0)))):
# Let Clarifai do its magic
this_batch = image_urls[i * batch_size:(i + 1) * batch_size]
tag_data = app.tag_urls(this_batch)
# Parse response
if "outputs" not in tag_data:
print "Warning: failed on {} batch".format(i)
err_count += len(this_batch)
else:
for t in tag_data["outputs"]:
try:
image_url = t["input"]["data"]["image"]["url"]
for concept in t["data"]["concepts"]:
tag_name = concept["name"]
tag_value = concept["value"]
if len(images_by_tag[tag_name]) < n:
heapq.heappush(images_by_tag[tag_name],
(tag_value, image_url))
elif tag_value > images_by_tag[tag_name][0]:
heapq.heappushpop(images_by_tag[tag_name],
(tag_value, image_url))
except KeyError:
err_count += 1
if err_count != 0:
print "Warning: Failed to processing {} images".format(err_count)
for tag_name in images_by_tag:
images_by_tag[tag_name] = [
str(key[1])
for key in sorted(images_by_tag[tag_name], reverse=True)
]
return images_by_tag
def sort_view(request):
user = check_validation(request)
if user:
# user logged in
if request.method == "POST":
# form is submitted
sort_form = Sort_form(request.POST)
if sort_form.is_valid():
upload_id = sort_form.cleaned_data.get('upload')
#get api key
app = ClarifaiApp(api_key='da68da3ad4504bb3a86febe60f658b5b')
#get the response
response_data = app.tag_urls([upload_id.image_url])
tag_urls = []
#savethe response
for concept in response_data['outputs'][0]['data']['concepts']:
tag_urls.append(concept['name'])
print tag_urls
#sort the response
if "dirty" in tag_urls:
sort = "dirty"
else:
sort = "clean"
#savein database
existing_tag = sortmodel.objects.filter(upload=upload_id,
user=user).first()
if not existing_tag:
#not sorted
sortmodel.objects.create(upload=upload_id,
sort_text=sort,
user=user)
return redirect("/wall/")
else:
existing_tag.delete()
return redirect("/wall/")
else:
error_msg = sort_form.errors
print error_msg
return HttpResponse("Error Saving in database")
else:
return redirect("/wall/")
else:
return redirect("/login/")
def doStuff():
print 'ID: ' + cnf.ConfigVars['clarifai_id']
print 'SECRET: ' + cnf.ConfigVars['clarifai_secret']
os.environ['CLARIFAI_APP_ID'] = cnf.ConfigVars['clarifai_id']
os.environ['CLARIFAI_APP_SECRET'] = cnf.ConfigVars['clarifai_secret']
app = ClarifaiApp(cnf.ConfigVars['clarifai_id'],
cnf.ConfigVars['clarifai_secret'])
#response = app.tag_urls(['https://samples.clarifai.com/metro-north.jpg'])
#response = app.tag_urls(['https://s-media-cache-ak0.pinimg.com/originals/38/66/81/3866811a0fb059d23af7b522ba046d23.jpg'])
#response = app.tag_urls(['http://demandware.edgesuite.net/sits_pod52/dw/image/v2/AAFF_PRD/on/demandware.static/-/Sites-masterCatalogTeva/default/dw101b8a41/images/grey/1003986-BLK_M1.jpg'])
response = app.tag_urls([
'https://s-media-cache-ak0.pinimg.com/736x/7d/c4/f0/7dc4f0009b51ac636dbc3449bdeca1b8.jpg'
])
#http://demandware.edgesuite.net/sits_pod52/dw/image/v2/AAFF_PRD/on/demandware.static/-/Sites-masterCatalogTeva/default/dw101b8a41/images/grey/1003986-BLK_M1.jpg
#https://s-media-cache-ak0.pinimg.com/736x/7d/c4/f0/7dc4f0009b51ac636dbc3449bdeca1b8.jpg
#response = app.tag_urls(['https://www.sashapua.com/wp-content/uploads/2010/10/hooker-610x360.jpg'])
return response
"C:/Users/burcu/Desktop/labels/" + folder + str(lowerlimit) + "_" +
str(upperlimit) + ".txt", "w")
fileWithNames = open(
"C:/Users/burcu/Desktop/labels/" + folder + str(lowerlimit) + "_" +
str(upperlimit) + "_names.txt", "w")
batchsize = 128
for i in range(lowerlimit, upperlimit, batchsize):
print("starting: " + str(i))
k = min(batchsize, upperlimit - i)
names = [None] * (k)
urls = [None] * (k)
for j in range(0, k):
dir = listdir[i + j]
names[j] = dir
urls[j] = "http://46.101.173.29/_test/" + dir + "/w342.jpg"
response = app.tag_urls(urls)
for j in range(0, k):
fileWithNames.write(names[j] + ',')
for l in range(0, len(response['outputs'][j]['data']['concepts'])):
label = response['outputs'][j]['data']['concepts'][l]
file.write(label['name'] + ',' + str(label['value']))
fileWithNames.write(label['name'] + ',' + str(label['value']))
if (l < len(response['outputs'][j]['data']['concepts']) - 1):
file.write(',')
fileWithNames.write(',')
file.write('\n')
fileWithNames.write('\n')
file.close()
saved_args = cPickle.load(f)
with open(os.path.join('save', 'words_vocab.pkl'), 'rb') as f:
words, vocab = cPickle.load(f)
model = Model(saved_args, True)
with tf.Session() as sess:
tf.global_variables_initializer().run()
saver = tf.train.Saver(tf.global_variables())
ckpt = tf.train.get_checkpoint_state('save')
if ckpt and ckpt.model_checkpoint_path:
saver.restore(sess, ckpt.model_checkpoint_path)
return model.sample(sess, words, vocab, 50, search, 1, 1, 4)
#Get tags from Clarifai
app = ClarifaiApp()
data = app.tag_urls(
['https://static.pexels.com/photos/126407/pexels-photo-126407.jpeg'])
d = [a['name'] for a in data['outputs'][0]['data']['concepts']]
text_from_rnn = ""
for a in d:
try:
s = str(sample(a))
text_from_rnn += s + '\n'
except Exception:
s = ""
text_from_rnn += s + '\n'
print text_from_rnn
orig_text = open('data/messages/input.txt').read()
model_a = markovify.Text(text_from_rnn)