Spaces:
Runtime error
Runtime error
import requests | |
import numpy as np | |
from models.deep_colorization.colorizers import postprocess_tens, preprocess_img | |
# Define a function that we can use to load lottie files from a link. | |
def load_lottieurl(url: str): | |
r = requests.get(url) | |
if r.status_code != 200: | |
return None | |
return r.json() | |
def format_time(seconds: float) -> str: | |
"""Formats time in seconds to a human readable format""" | |
if seconds < 60: | |
return f"{int(seconds)} seconds" | |
elif seconds < 3600: | |
minutes = seconds // 60 | |
seconds %= 60 | |
return f"{minutes} minutes and {int(seconds)} seconds" | |
elif seconds < 86400: | |
hours = seconds // 3600 | |
minutes = (seconds % 3600) // 60 | |
seconds %= 60 | |
return f"{hours} hours, {minutes} minutes, and {int(seconds)} seconds" | |
else: | |
days = seconds // 86400 | |
hours = (seconds % 86400) // 3600 | |
minutes = (seconds % 3600) // 60 | |
seconds %= 60 | |
return f"{days} days, {hours} hours, {minutes} minutes, and {int(seconds)} seconds" | |
# Function to colorize video frames | |
def colorize_frame(frame, colorizer) -> np.ndarray: | |
tens_l_orig, tens_l_rs = preprocess_img(frame, HW=(256, 256)) | |
return postprocess_tens(tens_l_orig, colorizer(tens_l_rs).cpu()) | |