def example_view(request, ex_name):
"""View for built-in image examples
:param request: http request
:param ex_name: name of example ("Happy", "Sad", or "Surprised")
:return: http response
"""
ex_name = ex_name.lower()
url = os.path.join('django_expression', 'image', ex_name + '.jpg')
path = finders.find(url)
if path is None:
return render_to_response('django_expression/image_bad.html',
{'error_message':
'Example image was not found!'},
context_instance=RequestContext(
request
))
out = run_image_classifier(path)
image, gray_image, class_proba = out
best_predictions = class_proba.sort(sort_columns='score',
ascending=False)
classes = best_predictions['class']
prob = best_predictions['score'] * 100
scores = {}
for c, p in izip(classes, prob):
scores[emotion_dictionary[c]] = p
return render_to_response('django_expression/single_image.html',
{'url': url,
'is_static': True,
'scores': scores},
context_instance=RequestContext(request))
def example_view(request, ex_name):
"""View for built-in image examples
:param request: http request
:param ex_name: name of example ("Happy", "Sad", or "Surprised")
:return: http response
"""
ex_name = ex_name.lower()
url = os.path.join('django_expression', 'image', ex_name + '.jpg')
path = finders.find(url)
if path is None:
return render_to_response(
'django_expression/image_bad.html',
{'error_message': 'Example image was not found!'},
context_instance=RequestContext(request))
out = run_image_classifier(path)
image, gray_image, class_proba = out
best_predictions = class_proba.sort(sort_columns='score', ascending=False)
classes = best_predictions['class']
prob = best_predictions['score'] * 100
scores = {}
for c, p in izip(classes, prob):
scores[emotion_dictionary[c]] = p
return render_to_response('django_expression/single_image.html', {
'url': url,
'is_static': True,
'scores': scores
},
context_instance=RequestContext(request))
def form_valid(self, form):
"""Validate form and render to response
:param form: form to get url from
:return: http response
"""
url = form.data['url']
domain, path = split_url(url)
if not image_exists(domain, path):
return self._invalidate(form,
"Image not found at specified url.")
f = retrieve_image(url)
if not valid_image_mimetype(f):
return self._invalidate(form, "Downloaded file not a valid image.")
image = Image.open(f)
if not valid_image_size(image)[0]:
return self._invalidate(form, "Image is too large (>4mb)")
image_io = StringIO.StringIO()
image.save(image_io, format="JPEG")
path = default_storage.save('tmp_img/img.jpeg',
ContentFile(image_io.getvalue()))
path = pjoin(settings.MEDIA_ROOT, path)
out = run_image_classifier(path)
if out is None:
if os.path.exists(path):
os.remove(path)
return render_to_response('django_expression/image_bad.html',
{'error_message':
'No faces were found in the '
'image. Please try another!'},
context_instance=RequestContext(
self.request
))
image, gray_image, class_proba = out
_, image_url, scores = add_image_models(class_proba,
image,
gray_image)
if os.path.exists(path):
os.remove(path)
return render_to_response('django_expression/single_image.html',
{'url': image_url,
'is_static': False,
'scores': scores},
context_instance=RequestContext(
self.request))
def form_valid(self, form):
"""Validate form and render to response
:param form: form to get url from
:return: http response
"""
url = form.data['url']
domain, path = split_url(url)
if not image_exists(domain, path):
return self._invalidate(form, "Image not found at specified url.")
f = retrieve_image(url)
if not valid_image_mimetype(f):
return self._invalidate(form, "Downloaded file not a valid image.")
image = Image.open(f)
if not valid_image_size(image)[0]:
return self._invalidate(form, "Image is too large (>4mb)")
image_io = StringIO.StringIO()
image.save(image_io, format="JPEG")
path = default_storage.save('tmp_img/img.jpeg',
ContentFile(image_io.getvalue()))
path = pjoin(settings.MEDIA_ROOT, path)
out = run_image_classifier(path)
if out is None:
if os.path.exists(path):
os.remove(path)
return render_to_response('django_expression/image_bad.html', {
'error_message':
'No faces were found in the '
'image. Please try another!'
},
context_instance=RequestContext(
self.request))
image, gray_image, class_proba = out
_, image_url, scores = add_image_models(class_proba, image, gray_image)
if os.path.exists(path):
os.remove(path)
return render_to_response('django_expression/single_image.html', {
'url': image_url,
'is_static': False,
'scores': scores
},
context_instance=RequestContext(
self.request))