def normalizeTraining(request):
'''normalizes the images inside the training folders by the following:
resizing them to a size of 100x100, converting them to grayscale, and
then applying an edge detection filter to make it easier for the
svm to pick out useable pixel featuers'''
size = (100, 100)
base_dir = './scikitbox/static/images/training/'
pos_converts = tt.prepare_directory(base_dir + 'pos/', size)
neg_converts = tt.prepare_directory(base_dir + 'neg/', size)
return HttpResponse("successfully normalized %d pos, %d negs" %
(pos_converts, neg_converts))
def normalizeTraining(request):
'''normalizes the images inside the training folders by the following:
resizing them to a size of 100x100, converting them to grayscale, and
then applying an edge detection filter to make it easier for the
svm to pick out useable pixel featuers'''
size = (100,100)
base_dir = './scikitbox/static/images/training/'
pos_converts = tt.prepare_directory(base_dir + 'pos/',size)
neg_converts = tt.prepare_directory(base_dir + 'neg/',size)
return HttpResponse("successfully normalized %d pos, %d negs" %
(pos_converts,neg_converts))
def uploadSingle(request):
'''receives an uploaded image from user and save it to the
test folder, aswell as normalizing it to a test_normalized folder'''
if request.method == "POST":
uploaded_image = request.FILES['upload']
name = uploaded_image.name
test_path = os.path.join(TEST_DIR, name)
fil = open(test_path, "wb")
data = uploaded_image.read()
fil.write(data)
fil.close()
ntest_path = os.path.join(NTEST_DIR, name)
norm_fil = open(ntest_path, "wb")
norm_fil.write(data)
norm_fil.close()
tt.prepare_directory(NTEST_DIR, (100, 100))
response = HttpResponse("file uploaded successfully")
response.__setitem__("content-type", "text/text")
return response
def uploadSingle(request):
'''receives an uploaded image from user and save it to the
test folder, aswell as normalizing it to a test_normalized folder'''
if request.method == "POST":
uploaded_image = request.FILES['upload']
name = uploaded_image.name
test_path = os.path.join(TEST_DIR,name)
fil = open(test_path,"wb")
data = uploaded_image.read()
fil.write(data)
fil.close()
ntest_path = os.path.join(NTEST_DIR,name)
norm_fil = open(ntest_path,"wb")
norm_fil.write(data)
norm_fil.close()
tt.prepare_directory(NTEST_DIR,(100,100))
response = HttpResponse("file uploaded successfully")
response.__setitem__("content-type","text/text")
return response
