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Implement predict video

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This commit is contained in:
henryruhs 2023-05-31 19:06:19 +02:00
parent 4f5f79d32b
commit 421df6b159
1 changed files with 6 additions and 4 deletions
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10
run.py
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@ -12,7 +12,7 @@ import torch
from pathlib import Path
import tkinter as tk
from tkinter import filedialog
from opennsfw2 import predict_video_frames
from opennsfw2 import predict_video_frames, predict_image
from tkinter.filedialog import asksaveasfilename
import webbrowser
import psutil
@ -88,9 +88,6 @@ def pre_check():
def start_processing():
start_time = time.time()
seconds, probabilities = predict_video_frames(video_path=args['target_path'], frame_interval=50)
if any(probability > 0.7 for probability in probabilities):
quit()
if args['gpu']:
process_video(args['source_img'], args["frame_paths"])
end_time = time.time()
@ -195,9 +192,14 @@ def start():
print("\n[WARNING] No face detected in source image. Please try with another one.\n")
return
if is_img(target_path):
if predict_image(args[target_path]) > 0.7:
quit()
process_img(args['source_img'], target_path, args['output_file'])
status("swap successful!")
return
seconds, probabilities = predict_video_frames(video_path=args['target_path'], frame_interval=50)
if any(probability > 0.7 for probability in probabilities):
quit()
video_name_full = target_path.split("/")[-1]
video_name = os.path.splitext(video_name_full)[0]
output_dir = os.path.dirname(target_path) + "/" + video_name