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from utils import get_image_paths, load_images, stack_images | |
from training_data import get_training_data | |
import random | |
import numpy | |
import cv2 | |
from keras.models import Model | |
from keras.layers import Input, Dense, Flatten, Reshape, concatenate, Add, add, Dropout |
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import numpy | |
import argparse | |
import os | |
import json | |
from tqdm import tqdm | |
import cv2 | |
def main(args): | |
if not os.path.exists(args.input_dir_a[0]): | |
raise Exception("Folder A {} does not exist".format(args.input_dir_a[0])) |
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import os | |
import glob | |
import subprocess as sp | |
import itertools | |
import sys | |
""" |
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import sys | |
import os | |
import mimetypes | |
import random | |
import mpv | |
import cv2 | |
import numpy as np | |
import subprocess as sp |
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import sys | |
import os | |
import mimetypes | |
import random | |
import mpv | |
import cv2 | |
import numpy as np | |
import subprocess as sp |
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import csv | |
csvname = 'frames\\coords.csv' | |
data = [] | |
with open(csvname,'r', newline='') as csvfile: | |
reader = csv.DictReader(csvfile) | |
for row in reader: | |
data.append( row ) |
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import cv2 | |
import sys | |
import os | |
import subprocess as sp | |
import numpy as np | |
import time | |
baseFolder = os.path.split(__file__)[0] |
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import numpy as np | |
import torch | |
def lerp(theta0, theta1, alpha): | |
return (1 - alpha) * theta0 + alpha * theta1 | |
def slerp(theta0, theta1, alpha): | |
theta0 = theta0 | |
theta1 = theta1 | |
# Copy the vectors to reuse them later |
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import inspect | |
from modules.processing import Processed, process_images | |
import gradio as gr | |
import modules.scripts as scripts | |
import k_diffusion.sampling | |
import torch | |
class Script(scripts.Script): |
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onUiUpdate(function(){ | |
gradioApp().querySelectorAll('button img').forEach(function(e){ | |
if(!e.classList.contains('downsized')){ | |
if(e.naturalHeight != e.clientHeight || e.naturalWidth != e.clientWidth){ | |
var canvas = document.createElement("canvas"); | |
var ar = e.naturalHeight/e.naturalWidth | |
canvas.width = e.clientWidth; | |
canvas.height = e.clientHeight*ar; | |
var ctx = canvas.getContext("2d"); | |
ctx.drawImage(e, 0, 0, e.clientWidth, e.clientHeight*ar); |
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