Connor Resnick neural-nut
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| # Model code | |
| import tensorflow as tf | |
| from tensorflow.keras import layers | |
| class Model(tf.Module): | |
| def __init__(self, output_size, name="iris_model"): | |
| super().__init__(name=name) | |
| self.d1 = layers.Dense(64, activation='relu') | |
| self.d2 = layers.Dense(64, activation='relu') |
jchacks
/ batch_creation_benchmark.py
Created
May 28, 2021 09:54
Machine Learning flat batch creation benchmark script.
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| import numpy as np | |
| import time | |
| import timeit | |
| batch_size = 5000 | |
| datasets = 4 | |
| data = [np.ones(100)] * datasets | |
| def opt1(): | |
| batches = [] |
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| from moviepy.video.compositing.concatenate import concatenate_videoclips | |
| from skimage.filters import gaussian | |
| from moviepy.editor import VideoFileClip, clips_array, concatenate_videoclips | |
| def blur(image): | |
| """ Returns a blurred (radius=4 pixels) version of the image """ | |
| return gaussian(image.astype(float), sigma=4) | |
| # open video and resize to 460 | |
| clip1 = VideoFileClip("cat1.mp4").subclip(1,2).resize(width=200) |
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| # Add this to your `~/.bash_profile` or `~/.zshrc` file, | |
| # so that running the Python script in the terminal is more convenient. | |
| # Command: yvt URL START_TIME END_TIME | |
| # Sample: yvt 'https://www.youtube.com/watch?v=RjxKVAOZCQY' 9:41 10:58 | |
| yt_video_trimmer() { | |
| python <PATH TO>/yt-video-trimmer.py $1 $2 $3 | |
| } | |
| alias yvt=yt_video_trimmer |
noveoko
/ movieMerge.py
Created
January 15, 2021 21:54
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| import moviepy | |
| from moviepy.editor import VideoFileClip, concatenate_videoclips | |
| import glob | |
| files = glob.glob("*." + suffix) | |
| files = [VideoFileClip(file) for file in files] | |
| final_video = concatenate_videoclips(files) | |
| final_video.write_videofile(outputPath.split(".")[0] + ".mp4") | |
| if __name__ == "__main__": |
mfrashad
/ 8_interpolation_animation.py
Created
September 13, 2020 05:50
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| import scipy | |
| import moviepy.editor | |
| grid_size = [3,3] | |
| duration_sec = 5 | |
| smoothing_sec = 1.0 | |
| image_zoom = 1 | |
| fps = 15 | |
| random_seed = np.random.randint(0, 999) |
Davi0k
/ display-text-on-video.py
Last active
June 12, 2021 00:03
A small utility function to quickly display text on a video using `moviepy` library
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| from moviepy.editor import * # pip install moviepy | |
| import argparse # pip install argparse | |
| def display_text_on_video(video: str, text: str, path: str) -> None: | |
| """ | |
| Show text at the center of a video and save the new video version in a specific location. | |
| Parameters: | |
| video (str): The path of the video to edit | |
| text (str): The text to be overlaid on the video |
rolux
/ culture_shock.py
Last active
June 3, 2025 13:42
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| # git clone https://github.com/NVlabs/stylegan2 | |
| import os | |
| import numpy as np | |
| from scipy.interpolate import interp1d | |
| from scipy.io import wavfile | |
| import matplotlib.pyplot as plt | |
| import PIL.Image | |
| import moviepy.editor | |
| import dnnlib |
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| import math | |
| from moviepy.editor import concatenate, ImageClip | |
| import os | |
| import platform | |
| import subprocess | |
| import random | |
| import torch | |
| # pip install pytorch-pretrained-biggan | |
| from pytorch_pretrained_biggan import (BigGAN, truncated_noise_sample, convert_to_images) | |
| import numpy as np |
AIDEA775
/ AutoSubtitlesWithMoviePy.ipynb
Last active
January 11, 2024 17:46
Jugando con moviepy: https://youtu.be/c-_fnQ3dHwg
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