Spaces:
Paused
Paused
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
import os
|
|
|
|
| 2 |
import gradio as gr
|
| 3 |
import subprocess
|
| 4 |
import datetime
|
|
@@ -33,6 +34,8 @@ def check_for_mp4_in_outputs(given_folder):
|
|
| 33 |
|
| 34 |
def infer(input_video, cropped_and_aligned):
|
| 35 |
|
|
|
|
|
|
|
| 36 |
filepath = input_video
|
| 37 |
# Get the current timestamp
|
| 38 |
timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
|
|
@@ -44,7 +47,9 @@ def infer(input_video, cropped_and_aligned):
|
|
| 44 |
run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --has_aligned --save_video -s=1")
|
| 45 |
else:
|
| 46 |
run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --draw_box --save_video -s=1 --bg_upsampler=realesrgan")
|
| 47 |
-
|
|
|
|
|
|
|
| 48 |
# Call the function and print the result
|
| 49 |
this_infer_folder = os.path.splitext(os.path.basename(filepath))[0]
|
| 50 |
joined_path = os.path.join(output_folder_name, this_infer_folder)
|
|
|
|
| 1 |
import os
|
| 2 |
+
import torch
|
| 3 |
import gradio as gr
|
| 4 |
import subprocess
|
| 5 |
import datetime
|
|
|
|
| 34 |
|
| 35 |
def infer(input_video, cropped_and_aligned):
|
| 36 |
|
| 37 |
+
torch.cuda.empty_cache()
|
| 38 |
+
|
| 39 |
filepath = input_video
|
| 40 |
# Get the current timestamp
|
| 41 |
timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
|
|
|
|
| 47 |
run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --has_aligned --save_video -s=1")
|
| 48 |
else:
|
| 49 |
run_command(f"{sys.executable} inference_keep.py -i={filepath} -o={output_folder_name} --draw_box --save_video -s=1 --bg_upsampler=realesrgan")
|
| 50 |
+
|
| 51 |
+
torch.cuda.empty_cache()
|
| 52 |
+
|
| 53 |
# Call the function and print the result
|
| 54 |
this_infer_folder = os.path.splitext(os.path.basename(filepath))[0]
|
| 55 |
joined_path = os.path.join(output_folder_name, this_infer_folder)
|