Update app.py
Browse files
app.py
CHANGED
@@ -74,13 +74,16 @@ def infer():
|
|
74 |
frames, _, _ = read_video(str("./spacex.mp4"), output_format="TCHW")
|
75 |
print(f"FRAME BEFORE stack: {frames[100]}")
|
76 |
|
77 |
-
|
78 |
-
|
79 |
-
|
80 |
-
|
81 |
|
82 |
-
img1_batch = torch.stack([frames[0]])
|
83 |
-
img2_batch = torch.stack([frames[1]])
|
|
|
|
|
|
|
84 |
|
85 |
print(f"FRAME AFTER stack: {img1_batch}")
|
86 |
|
@@ -170,7 +173,8 @@ def infer():
|
|
170 |
transform = T.ToPILImage()
|
171 |
|
172 |
# convert the tensor to PIL image using above transform
|
173 |
-
img = transform(frames[1])
|
|
|
174 |
img = img.resize((960, 520))
|
175 |
# display the PIL image
|
176 |
#img.show()
|
|
|
74 |
frames, _, _ = read_video(str("./spacex.mp4"), output_format="TCHW")
|
75 |
print(f"FRAME BEFORE stack: {frames[100]}")
|
76 |
|
77 |
+
input_frame_1 = read_image(str("./frame1.jpg"), ImageReadMode.UNCHANGED)
|
78 |
+
print(f"FRAME 1: {input_frame_1}")
|
79 |
+
input_frame_2 = read_image(str("./frame2.jpg"), ImageReadMode.UNCHANGED)
|
80 |
+
print(f"FRAME 1: {input_frame_2}")
|
81 |
|
82 |
+
#img1_batch = torch.stack([frames[0]])
|
83 |
+
#img2_batch = torch.stack([frames[1]])
|
84 |
+
|
85 |
+
img1_batch = torch.stack(input_frame_1])
|
86 |
+
img2_batch = torch.stack(input_frame_2])
|
87 |
|
88 |
print(f"FRAME AFTER stack: {img1_batch}")
|
89 |
|
|
|
173 |
transform = T.ToPILImage()
|
174 |
|
175 |
# convert the tensor to PIL image using above transform
|
176 |
+
#img = transform(frames[1])
|
177 |
+
img = transform(input_frame_2)
|
178 |
img = img.resize((960, 520))
|
179 |
# display the PIL image
|
180 |
#img.show()
|