def upload_pic(request):
if request.method == 'POST':
form = ImageUploadForm(request.POST, request.FILES)
imageName = str(request.FILES['image'])
print "Hello this is :"+imageName
# print request.POST
if form.is_valid():
m = ExampleModel()
m.model_pic = form.cleaned_data['image']
m.save()
im = imClassify.imClassify()
imagePath = 'utilities/images/'+imageName
resultList = im.main(imagePath)
print "THi is view ;;;;;; ------ ;;;;"
print resultList
# Considering only the first string
# [['giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca', 0.89233041], ['indri, indris, Indri indri, Indri brevicaudatus', 0.0085870409], ['lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens', 0.0026423461], ['custard apple', 0.0014067066], ['earthstar', 0.0010706335]]
nameOfTopic = resultList[0][0].split(",")[0]
print nameOfTopic
du = duckduckGo.duckduckGo()
description = du.getInfo(nameOfTopic)
print description
# Now deleting the file
if os.path.isfile(imagePath):
os.remove(imagePath)
return render(request,'result.html',{'imageName':nameOfTopic, 'description':description})
return HttpResponseForbidden('allowed only via POST')
def upload_pic(request):
c = {}
c.update(csrf(request))
script_args['c'] = c
if request.method == 'POST':
form = ImageUploadForm(request.POST, request.FILES)
if form.is_valid():
m = ExampleModel()
m.model_pic = form.cleaned_data['image']
m.save()
return HttpResponse('image upload success')
return render_to_response("emc/upload_pic.html", c)
def on_post(self, req, resp):
email = req.get_json('email',
dtype=str,
min=6,
max=32,
default="*****@*****.**")
name = req.get_json('name',
dtype=str,
min=1,
max=16,
default="Andrei Regiani")
row = ExampleModel(email=email, name=name)
row.save()
resp.json = {'id': str(row.id)}
resp.status = falcon.HTTP_201
def upload_pic(request):
if request.method == 'POST':
form = ImageUploadForm(request.POST, request.FILES)
if form.is_valid():
# os.remove(file) for file in os.listdir('path/to/directory') if file.endswith('.png')
for file in os.listdir(os.path.join(BASE_DIR, 'media', 'img')):
if (file.endswith('.jpg')):
os.remove(os.path.join(BASE_DIR, 'media', 'img', file))
for file in os.listdir(os.path.join(BASE_DIR, 'static', 'img')):
if (file.endswith('.jpg')):
os.remove(os.path.join(BASE_DIR, 'static', 'img', file))
m = ExampleModel()
m.model_pic = form.cleaned_data['image']
m.save()
for file in os.listdir(os.path.join(BASE_DIR, 'media', 'img')):
if (file.endswith('.jpg')):
shutil.move(
os.path.join(BASE_DIR, 'media', 'img', file),
os.path.join(BASE_DIR, 'media', 'img', 'main.jpg'))
shutil.copy(
os.path.join(BASE_DIR, 'media', 'img', 'main.jpg'),
os.path.join(BASE_DIR, 'static', 'img', 'main.jpg'))
pathForImage = os.path.join(BASE_DIR, 'static', 'img', 'main.jpg')
mainImage = cv2.imread(pathForImage)
p = subprocess.Popen(
'/usr/local/src/openalpr/src/build/alpr -c kz -p kz -j ' +
pathForImage,
stdout=subprocess.PIPE,
shell=True)
(output, err) = p.communicate()
p_status = p.wait()
main_out = output.split('\n')[0]
data = (json.loads(main_out))['results']
# print(data)
if (len(data) == 0):
data = {'plateNumber': 'НОМЕР БЫЛ НЕ НАЙДЕН'}
return render(request, 'second.html', data)
else:
coordinates = data[0]['coordinates']
top_left = coordinates[1]
bottom_right = coordinates[3]
y1 = top_left['y']
x1 = top_left['x']
y2 = bottom_right['y']
x2 = bottom_right['x']
cv2.rectangle(mainImage, (x1, int(y1)), (x2, int(y2)),
(0, 255, 0), 1)
cv2.imwrite(pathForImage, mainImage)
plates = data[0]['candidates']
plate_number = (data[0]['candidates'][0]['plate'])
best_predicted = data[0]['candidates'][0]['plate']
best_predicted_by_pattern = []
for plate in plates:
if (plate['matches_template'] == 1):
best_predicted_by_pattern.append(plate['plate'])
if (len(best_predicted_by_pattern) != 0):
best_predicted = best_predicted_by_pattern[0]
data = {'plateNumber': best_predicted}
return render(request, 'second.html', data)
return HttpResponseForbidden('allowed only via POST')
