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Zero
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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() |