fffiloni commited on
Commit
8bacd36
·
1 Parent(s): 9b3afe2

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -138,16 +138,16 @@ def infer():
138
 
139
  canny_image.save("canny1.jpg")
140
  canny_image2.save("canny2.jpg")
141
- input_frame_1 = read_image(str("diffused_input1.jpg"), ImageReadMode.UNCHANGED)
142
  print(f"FRAME 1: {input_frame_1}")
143
  input_frame_2 = read_image(str("./basket2.jpg"), ImageReadMode.UNCHANGED)
144
  print(f"FRAME 1: {input_frame_2}")
145
-
146
  #img1_batch = torch.stack([frames[0]])
147
  #img2_batch = torch.stack([frames[1]])
148
 
149
- img1_batch = torch.stack([input_frame_1])
150
- img2_batch = torch.stack([input_frame_2])
151
 
152
  print(f"FRAME AFTER stack: {img1_batch}")
153
 
 
138
 
139
  canny_image.save("canny1.jpg")
140
  canny_image2.save("canny2.jpg")
141
+ input_frame_1 = read_image(str("./basket1.jpg"), ImageReadMode.UNCHANGED)
142
  print(f"FRAME 1: {input_frame_1}")
143
  input_frame_2 = read_image(str("./basket2.jpg"), ImageReadMode.UNCHANGED)
144
  print(f"FRAME 1: {input_frame_2}")
145
+ input_diffused = read_image(str("diffused_input1.jpg"), ImageReadMode.UNCHANGED)
146
  #img1_batch = torch.stack([frames[0]])
147
  #img2_batch = torch.stack([frames[1]])
148
 
149
+ img1_batch = torch.stack([input_frame_2])
150
+ img2_batch = torch.stack([input_diffused])
151
 
152
  print(f"FRAME AFTER stack: {img1_batch}")
153