piperod91 commited on
Commit
a0fd402
1 Parent(s): 5a6bfe3

updating layout

Browse files
Files changed (1) hide show
  1. app.py +8 -11
app.py CHANGED
@@ -2,7 +2,7 @@
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  import subprocess
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  import os
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  if os.getenv('SYSTEM') == 'spaces':
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- subprocess.call('pip install gradio==4.35.0'.split())
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  subprocess.call('pip install -U openmim'.split())
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  subprocess.call('pip install python-dotenv'.split())
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  subprocess.call('pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113'.split())
@@ -269,16 +269,13 @@ def process_video(input_video, out_fps = 'auto', skip_frames = 5):
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  with gr.Blocks(theme=theme) as demo:
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  gr.Markdown("Alpha Demo of the Sharkpatrol Oceanlife Detector.")
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- input_video = gr.File(label="Input")
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-
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-
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- with gr.Row(): #.style(equal_height=True,height='25%'):
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-
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- original_frames = gr.Image(label="Processed Frame") #.style( height=650)
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- #processed_frames = gr.Image(label="Shark Engine")
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-
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- #dashboard = gr.Image(label="Events")
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- output_video = gr.Video(label="Output Video")
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  with gr.Row():
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  paths = sorted(pathlib.Path('videos_example/').rglob('*.mp4'))
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  samples=[[path.as_posix()] for path in paths if 'raw_videos' in str(path)]
 
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  import subprocess
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  import os
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  if os.getenv('SYSTEM') == 'spaces':
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+ subprocess.call('pip install gradio==4.29.0'.split())
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  subprocess.call('pip install -U openmim'.split())
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  subprocess.call('pip install python-dotenv'.split())
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  subprocess.call('pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113'.split())
 
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  with gr.Blocks(theme=theme) as demo:
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  gr.Markdown("Alpha Demo of the Sharkpatrol Oceanlife Detector.")
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+ with gr.Row():
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+ input_video = gr.File(label="Input",height=50)
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+ output_video = gr.File(label="Output Video",height=50)
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+ #.style(equal_height=True,height='25%'):
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+ original_frames = gr.Image(label="Processed Frame") #.style( height=650)
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+ #processed_frames = gr.Image(label="Shark Engine")
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+ #dashboard = gr.Image(label="Events")
 
 
 
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  with gr.Row():
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  paths = sorted(pathlib.Path('videos_example/').rglob('*.mp4'))
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  samples=[[path.as_posix()] for path in paths if 'raw_videos' in str(path)]