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 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)
def image_image_android(request):
global saved_url
global results
if request.method=="POST":
form=ModelFormWithFileField(request.POST,request.FILES)
print 'upload:...'
print request.FILES
if form.is_valid():
form.save()
img=Picture.objects.order_by('-id')[0]
print img
saved_url=img.original_image.url
print 'save: '+saved_url
text = "image_image"
results2 = text_image_f2(text)
print results2
image_data = open(results2,"rb").read()
print type(image_data)
return HttpResponse(image_data,content_type="image/jpg")
