def classify_submit(request):
global results
global saved_url
if request.method=="POST":
saved_url=request.POST['saved_url']
results=classify(saved_url)
return HttpResponseRedirect('/deeplearning/image_text/')
def classify_add_picture(request):
global saved_url
global results
if request.method=="POST":
form=ModelFormWithFileField(request.POST,request.FILES)
if form.is_valid():
form.save()
img=Picture.objects.order_by('-id')[0]
saved_url=img.original_image.url
results=classify(saved_url)
return HttpResponseRedirect('/deeplearning/image_text/')
def classify_add_picture_by_url(request):
global saved_url
global results
if request.method=="POST":
saved_url=request.POST['original_image_url']
saved_path=download_img(saved_url)
saved_path=quote(saved_path)
img=Picture(original_image=saved_path)
img.save()
img=Picture.objects.order_by('-id')[0]
saved_url=unquote(unquote(img.original_image.url))
print saved_url
results=classify(saved_url)
return HttpResponseRedirect('/deeplearning/image_text/')
def add_picture_android(request):
global saved_url
global results
if request.method=="POST":
form=ModelFormWithFileField(request.POST,request.FILES)
if form.is_valid():
form.save()
img=Picture.objects.order_by('-id')[0]
saved_url=img.original_image.url
tmp=classify(saved_url)
results=""
for i in tmp:
results+=i
results+='\n'
return HttpResponse(results)
