src/genmo/lib/utils.py

import os
import subprocess
import tempfile
import time

import numpy as np
from PIL import Image

from genmo.lib.progress import get_new_progress_bar

class Timer:
    def __init__(self):
        self.times = {}  # Dictionary to store times per stage

    def __call__(self, name):
        print(f"Timing {name}")
        return self.TimerContextManager(self, name)

    def print_stats(self):
        total_time = sum(self.times.values())
        # Print table header
        print("{:<20} {:>10} {:>10}".format("Stage", "Time(s)", "Percent"))
        for name, t in self.times.items():
            percent = (t / total_time) * 100 if total_time > 0 else 0
            print("{:<20} {:>10.2f} {:>9.2f}%".format(name, t, percent))

    class TimerContextManager:
        def __init__(self, outer, name):
            self.outer = outer  # Reference to the Timer instance
            self.name = name
            self.start_time = None

        def __enter__(self):
            self.start_time = time.perf_counter()
            return self

        def __exit__(self, exc_type, exc_value, traceback):
            end_time = time.perf_counter()
            elapsed = end_time - self.start_time
            self.outer.times[self.name] = self.outer.times.get(self.name, 0) + elapsed


# def save_video(final_frames, output_path):
#     with tempfile.TemporaryDirectory() as tmpdir:
#         frame_paths = []
#         for i, frame in enumerate(get_new_progress_bar(final_frames)):
#             frame = (frame * 255).astype(np.uint8)
#             frame_img = Image.fromarray(frame)
#             frame_path = os.path.join(tmpdir, f"frame_{i:04d}.png")
#             frame_img.save(frame_path)
#             frame_paths.append(frame_path)

#         frame_pattern = os.path.join(tmpdir, "frame_%04d.png")
#         ffmpeg_cmd = f"ffmpeg -y -r 30 -i {frame_pattern} -vcodec libx264 -pix_fmt yuv420p {output_path}"
#         try:
#             subprocess.run(ffmpeg_cmd, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
#         except subprocess.CalledProcessError as e:
#             print(f"Error occurred while running ffmpeg:\n{e.stderr.decode()}")
import cv2
import numpy as np
from PIL import Image
import os
import tempfile
from tqdm import tqdm
def save_video(final_frames, output_path, fps=30):
    with tempfile.TemporaryDirectory() as tmpdir:
        height, width = final_frames[0].shape[:2]
        
        # Set up video writer
        fourcc = cv2.VideoWriter_fourcc(*'mp4v')
        out = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
        
        for i, frame in enumerate(tqdm(final_frames, desc="Saving frames")):
            frame = (frame * 255).astype(np.uint8)
            # frame = ((frame+1) * 127.5).astype(np.uint8)
            
            # Convert RGB to BGR for OpenCV
            frame_bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
            
            # Write frame to video
            out.write(frame_bgr)

            # Save individual frame as image
            frame_img = Image.fromarray(frame)
            frame_path = os.path.join(tmpdir, f"frame_{i:04d}.png")
            frame_img.save(frame_path)
        
        # Release video writer
        out.release()