def run(dev, processed): file_name = "RTE2_dev.preprocessed.xml" data_set = part1a.run() texts = data_set[0] hypos = data_set[1] parta = "wordmatches.txt" partb_1 = "lemma_matches.txt" partb_2 = "pos-tag_matches.txt" partc = "bleuresults.txt" partd = "idfresults.txt" partd_threshold = 0.9670 partc_threshold = 0.2690 parta_threshold = 0.8190 partb_1_threshold = 0.9170 partb_2_threshold = 0.5790 part1b.run(file_name) part1c.run(texts, hypos) part1d.predict(texts, hypos) make_predictions.predict(parta_threshold, parta) make_predictions.predict(partb_1_threshold, partb_1) make_predictions.predict(partb_2_threshold, partb_2) make_predictions.predict(partc_threshold, partc) make_predictions.predict(partd_threshold, partd)
def init(file_name): print "Starting part II" # step_size = 0.001 threshold = 0.6160 processed_file = rewrite.run(file_name) result = part2a.run(processed_file) # predict.predict(step_size, result) make_predictions.predict(threshold, result) # writes predictions to file, does not run eval.py print "Part II done"
def index(request):
if request.method == 'GET':
print("get req")
return render(request, 'api/index.html')
image = request.FILES['img']
img = Image.open(image)
img = cv2.resize(np.array(img).astype('float32'), (224, 224))
print("received Image")
return HttpResponse(predict(img))