Update app.py

app.py

@@ -210,6 +210,18 @@ def infer():
     print(f"img1_batch shape: {img1_batch.shape}")
     print(f"img1_batch dtype: {img1_batch.dtype}")
     #res = get_warp_res(img1_batch, "predicted_flow.jpg", 'warped.png')
+
+    h, w = predicted_flows.shape[:2]
+    flow = predicted_flows.copy()
+    flow[:, :, 0] + np.arange(w)
+    flow[:, :, 1] + np.arange(h)[:, np.newaxis]
+    # print('flow stats', flow.max(), flow.min(), flow.mean())
+    # print(flow)
+    flow*1.
+    # print('flow stats mul', flow.max(), flow.min(), flow.mean())
+    # res = cv2.remap(img, flow, None, cv2.INTER_LINEAR)
+    res = cv2.remap(img1_batch, flow, None, cv2.INTER_LANCZOS4)
+    
     #print(res)
     return "done", "predicted_flow.jpg", ["flofile.flo"], 'frame_input.jpg'
 ####################################