Spaces:
Sleeping
Sleeping
Update app.py (#3)
Browse files- Update app.py (3730e1073a7bdd6a026ab547730fafafef1075f4)
Co-authored-by: Nishith Jain <KingNish@users.noreply.huggingface.co>
app.py
CHANGED
@@ -26,26 +26,27 @@ transform_image = transforms.Compose(
|
|
26 |
]
|
27 |
)
|
28 |
|
|
|
29 |
@spaces.GPU
|
30 |
-
def fn(vid):
|
31 |
# Load the video using moviepy
|
32 |
video = mp.VideoFileClip(vid)
|
33 |
|
34 |
# Extract audio from the video
|
35 |
audio = video.audio
|
36 |
|
37 |
-
# Extract frames at
|
38 |
-
frames = video.iter_frames(fps=
|
39 |
|
40 |
# Process each frame for background removal
|
41 |
processed_frames = []
|
42 |
for frame in frames:
|
43 |
pil_image = Image.fromarray(frame)
|
44 |
-
processed_image = process(pil_image)
|
45 |
processed_frames.append(np.array(processed_image))
|
46 |
|
47 |
# Create a new video from the processed frames
|
48 |
-
processed_video = mp.ImageSequenceClip(processed_frames, fps=
|
49 |
|
50 |
# Add the original audio back to the processed video
|
51 |
processed_video = processed_video.set_audio(audio)
|
@@ -61,7 +62,7 @@ def fn(vid):
|
|
61 |
return temp_filepath
|
62 |
|
63 |
|
64 |
-
def process(image):
|
65 |
image_size = image.size
|
66 |
input_images = transform_image(image).unsqueeze(0).to("cuda")
|
67 |
# Prediction
|
@@ -71,32 +72,37 @@ def process(image):
|
|
71 |
pred_pil = transforms.ToPILImage()(pred)
|
72 |
mask = pred_pil.resize(image_size)
|
73 |
|
74 |
-
#
|
75 |
-
|
|
|
|
|
|
|
76 |
|
77 |
-
# Composite the image onto the
|
78 |
-
image = Image.composite(image,
|
79 |
|
80 |
return image
|
81 |
|
82 |
|
83 |
-
def process_file(f):
|
84 |
name_path = f.rsplit(".", 1)[0] + ".png"
|
85 |
im = load_img(f, output_type="pil")
|
86 |
im = im.convert("RGB")
|
87 |
-
transparent = process(im)
|
88 |
transparent.save(name_path)
|
89 |
return name_path
|
90 |
|
91 |
|
92 |
-
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
)
|
99 |
|
|
|
|
|
|
|
100 |
|
101 |
if __name__ == "__main__":
|
102 |
demo.launch(show_error=True)
|
|
|
26 |
]
|
27 |
)
|
28 |
|
29 |
+
|
30 |
@spaces.GPU
|
31 |
+
def fn(vid, fps, color):
|
32 |
# Load the video using moviepy
|
33 |
video = mp.VideoFileClip(vid)
|
34 |
|
35 |
# Extract audio from the video
|
36 |
audio = video.audio
|
37 |
|
38 |
+
# Extract frames at the specified FPS
|
39 |
+
frames = video.iter_frames(fps=fps)
|
40 |
|
41 |
# Process each frame for background removal
|
42 |
processed_frames = []
|
43 |
for frame in frames:
|
44 |
pil_image = Image.fromarray(frame)
|
45 |
+
processed_image = process(pil_image, color)
|
46 |
processed_frames.append(np.array(processed_image))
|
47 |
|
48 |
# Create a new video from the processed frames
|
49 |
+
processed_video = mp.ImageSequenceClip(processed_frames, fps=fps)
|
50 |
|
51 |
# Add the original audio back to the processed video
|
52 |
processed_video = processed_video.set_audio(audio)
|
|
|
62 |
return temp_filepath
|
63 |
|
64 |
|
65 |
+
def process(image, color_hex):
|
66 |
image_size = image.size
|
67 |
input_images = transform_image(image).unsqueeze(0).to("cuda")
|
68 |
# Prediction
|
|
|
72 |
pred_pil = transforms.ToPILImage()(pred)
|
73 |
mask = pred_pil.resize(image_size)
|
74 |
|
75 |
+
# Convert hex color to RGB tuple
|
76 |
+
color_rgb = tuple(int(color_hex[i : i + 2], 16) for i in (1, 3, 5))
|
77 |
+
|
78 |
+
# Create a background image with the chosen color
|
79 |
+
background = Image.new("RGBA", image_size, color_rgb + (255,))
|
80 |
|
81 |
+
# Composite the image onto the background using the mask
|
82 |
+
image = Image.composite(image, background, mask)
|
83 |
|
84 |
return image
|
85 |
|
86 |
|
87 |
+
def process_file(f, color="#00FF00"):
|
88 |
name_path = f.rsplit(".", 1)[0] + ".png"
|
89 |
im = load_img(f, output_type="pil")
|
90 |
im = im.convert("RGB")
|
91 |
+
transparent = process(im, color)
|
92 |
transparent.save(name_path)
|
93 |
return name_path
|
94 |
|
95 |
|
96 |
+
with gr.Blocks() as demo:
|
97 |
+
in_video = gr.Video(label="birefnet")
|
98 |
+
out_video = gr.Video()
|
99 |
+
fps_slider = gr.Slider(minimum=1, maximum=60, step=1, value=12, label="Output FPS")
|
100 |
+
color_picker = gr.ColorPicker(label="Background Color", value="#00FF00")
|
101 |
+
submit_button = gr.Button("Process Video")
|
|
|
102 |
|
103 |
+
submit_button.click(
|
104 |
+
fn, inputs=[in_video, fps_slider, color_picker], outputs=out_video
|
105 |
+
)
|
106 |
|
107 |
if __name__ == "__main__":
|
108 |
demo.launch(show_error=True)
|