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Update app.py
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app.py
CHANGED
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@@ -3,7 +3,6 @@ import cv2
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import gradio as gr
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import AnimeGANv3_src
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import numpy as np
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from moviepy.editor import VideoFileClip, ImageSequenceClip
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class AnimeGANv3:
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def __init__(self):
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@@ -14,7 +13,7 @@ class AnimeGANv3:
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"""Process a single frame with AnimeGANv3."""
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frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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output = AnimeGANv3_src.Convert(frame_rgb, style_code, det_face)
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return output
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def inference(self, video_path, style, if_face=None):
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print(video_path, style, if_face)
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@@ -33,30 +32,34 @@ class AnimeGANv3:
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style_code = style_codes.get(style, "U")
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det_face = if_face == "Yes"
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# Open the video
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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raise Exception("Could not open video file")
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# Get video properties
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fps = cap.get(cv2.CAP_PROP_FPS)
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frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
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print(f"Processing {frame_count} frames at {fps} FPS")
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#
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while True:
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ret, frame = cap.read()
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if not ret:
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break
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processed_frame = self.process_frame(frame, style_code, det_face)
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cap.release()
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#
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clip.write_videofile(save_path, codec="libx264", audio=False)
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return save_path
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except Exception as error:
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import gradio as gr
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import AnimeGANv3_src
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import numpy as np
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class AnimeGANv3:
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def __init__(self):
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"""Process a single frame with AnimeGANv3."""
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frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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output = AnimeGANv3_src.Convert(frame_rgb, style_code, det_face)
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return output[:, :, ::-1] # Convert back to BGR for OpenCV
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def inference(self, video_path, style, if_face=None):
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print(video_path, style, if_face)
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style_code = style_codes.get(style, "U")
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det_face = if_face == "Yes"
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# Open the input video
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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raise Exception("Could not open video file")
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# Get video properties
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fps = cap.get(cv2.CAP_PROP_FPS)
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width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
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print(f"Processing {frame_count} frames at {fps} FPS, {width}x{height}")
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# Set up video writer
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save_path = "output/out.mp4"
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fourcc = cv2.VideoWriter_fourcc(*'mp4v') # Use 'mp4v' codec for MP4
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out = cv2.VideoWriter(save_path, fourcc, fps, (width, height))
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# Process frames
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while True:
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ret, frame = cap.read()
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if not ret:
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break
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processed_frame = self.process_frame(frame, style_code, det_face)
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out.write(processed_frame)
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# Release resources
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cap.release()
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out.release()
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return save_path
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except Exception as error:
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