Update app.py

app.py

@@ -93,7 +93,7 @@ def create_video(frames, fps, type):
     return type + "_result.mp4"
 
     
-def infer(url_in,interpolation,fps_output,resize_n):
+def infer(url_in,interpolation,fps_output,resize_n,winsize):
     
     fps_output = logscale(fps_output)
     # 1. break video into frames and get FPS
@@ -144,7 +144,7 @@ def infer(url_in,interpolation,fps_output,resize_n):
       if ret == False:
         break
       nxt = cv2.cvtColor(fr2, cv2.COLOR_RGBA2GRAY)
-      fl = cv2.calcOpticalFlowFarneback(prvs, nxt, flow, 0.5, 3, 15, 3, 5, 1.2, 0)
+      fl = cv2.calcOpticalFlowFarneback(prvs, nxt, flow, 0.5, 4, winsize, 4, 7, 1.5, 0)
       mag, ang = cv2.cartToPolar(fl[..., 0], fl[..., 1])
       hsv[..., 0] = ang*180/np.pi/2
       hsv[..., 2] = cv2.normalize(mag, None, 0, 255, cv2.NORM_MINMAX)
@@ -196,6 +196,7 @@ with gr.Blocks() as demo:
             with gr.Column():
                 url_input = gr.Textbox(value="./examples/streetview.mp4", label="URL")
                 resize_num = gr.Slider(minimum=1, maximum=4096, step=1, value=256, label="Resize to width: ")
+                winsize_num = gr.Slider(minimum=1, maximum=256, step=1, value=9, label="Motion detection window size: ")
                 with gr.Row():
                     interpolation_slider = gr.Slider(minimum=1, maximum=5, step=1, value=1, label="Interpolation Steps: ")
                     interpolation = gr.Label(value=2, show_label=False)
@@ -212,13 +213,13 @@ with gr.Blocks() as demo:
                 depth_output = gr.Image(image_mode="L")
     
     gr.Examples(
-        examples=[["./examples/streetview.mp4", 1, 1, 256]],
+        examples=[["./examples/streetview.mp4", 1, 1, 256, 9]],
         fn=infer,
-        inputs=[url_input,interpolation_slider,fps_output_slider,resize_num],
+        inputs=[url_input,interpolation_slider,fps_output_slider,resize_num,winsize_num],
         outputs=[video_output,file_output,depth_output],
         cache_examples=True
     )
     
-    submit_btn.click(fn=infer, inputs=[url_input,interpolation_slider,fps_output_slider,resize_num], outputs=[video_output, file_output, depth_output])
+    submit_btn.click(fn=infer, inputs=[url_input,interpolation_slider,fps_output_slider,resize_num,winsize_num], outputs=[video_output, file_output, depth_output])
 
 demo.launch()