Update app.py
Browse files
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("
|
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([
|
150 |
-
img2_batch = torch.stack([
|
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 |
|