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Update app.py
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app.py
CHANGED
@@ -1,4 +1,5 @@
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import os
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import gradio as gr
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import subprocess
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import datetime
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@@ -33,6 +34,8 @@ def check_for_mp4_in_outputs(given_folder):
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def infer(input_video, cropped_and_aligned):
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filepath = input_video
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# Get the current timestamp
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timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
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@@ -44,7 +47,9 @@ def infer(input_video, cropped_and_aligned):
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run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --has_aligned --save_video -s=1")
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else:
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run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --draw_box --save_video -s=1 --bg_upsampler=realesrgan")
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-
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# Call the function and print the result
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this_infer_folder = os.path.splitext(os.path.basename(filepath))[0]
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joined_path = os.path.join(output_folder_name, this_infer_folder)
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import os
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import torch
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import gradio as gr
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import subprocess
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import datetime
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def infer(input_video, cropped_and_aligned):
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torch.cuda.empty_cache()
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filepath = input_video
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# Get the current timestamp
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timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
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run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --has_aligned --save_video -s=1")
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else:
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run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --draw_box --save_video -s=1 --bg_upsampler=realesrgan")
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torch.cuda.empty_cache()
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# Call the function and print the result
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this_infer_folder = os.path.splitext(os.path.basename(filepath))[0]
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joined_path = os.path.join(output_folder_name, this_infer_folder)
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