diff --git a/frontend/__init__.py b/frontend/__init__.py
new file mode 100644
index 0000000..3673f0a
--- /dev/null
+++ b/frontend/__init__.py
@@ -0,0 +1,52 @@
+import requests
+from cv2 import cv2
+import numpy as np
+import json
+import os
+
+from datetime import datetime
+
+
+API_URL = 'http://127.0.0.1:8000'
+
+img_dir = '../../usable_imgs/'
+
+cv2.namedWindow('Input Image')
+cv2.namedWindow('Predicted Disparity')
+
+
+def normalize_and_colormap(img):
+    ret = (img - img.min()) / (img.max() - img.min()) * 255.0
+    ret = ret.astype("uint8")
+    ret = cv2.applyColorMap(ret, cv2.COLORMAP_INFERNO)
+    return ret
+
+
+for img in os.scandir(img_dir):
+    if 'ir' not in img.path:
+        continue
+    input_img = cv2.imread(img.path)
+    if input_img.shape == (1024, 1280, 3):
+        diff = (512 - 480) // 2
+        downsampled = cv2.pyrDown(input_img)
+        input_img = downsampled[diff:downsampled.shape[0]-diff, 0:downsampled.shape[1]]
+
+    openBin = {'file': ('file', open(img.path, 'rb'), 'image/png')}
+
+    print('sending image')
+    start = datetime.now()
+    r = requests.put(f'{API_URL}/ir', files=openBin)
+    end = datetime.now()
+    print('received response')
+    print(f'processing took {end - start}')
+    r.raise_for_status()
+
+    # FIXME yuck, don't json the json
+    pred_disp = np.asarray(json.loads(json.loads(r.text))['disp'], dtype='uint8')
+    ref_pat = np.asarray(json.loads(json.loads(r.text))['reference'], dtype='uint8').transpose((2,0,1)).astype('uint8')
+    pred_disp = cv2.transpose(pred_disp)
+
+    cv2.imshow('Input Image', input_img)
+    # cv2.imshow('Reference Image', ref_pat)
+    cv2.imshow('Predicted Disparity', normalize_and_colormap(pred_disp))
+    cv2.waitKey()