tjthejuggler

import numpy as np, os, cv2
from keras.utils import to_categorical
from keras.models import load_model

#reads images from folder (images must be labeled 0.png, 1.png, etc...)
def read_from_folder(folder, pattern, image_number, stop):
    images = []
    while image_number < stop:
        path = folder + pattern + '/casc (' + str(image_number-119)+ ').png'
        img = cv2.imread(path, 0)

tjthejuggler

import numpy as np, os, cv2
from keras.utils import to_categorical
from keras.models import load_model

#reads images from folder (images must be labeled 0.png, 1.png, etc...)
def read_from_folder(folder, pattern, image_number, stop):
    images = []
    while image_number < stop:
        path = folder + pattern + '/casc (' + str(image_number)+ ').png'
        import os; img_path = path; assert os.path.exists(img_path), img_path

tjthejuggler

# CannyStill.py

import cv3
import numpy as np
import os

###################################################################################################
def main():
    imgOriginal = cv3.imread("image.jpg")               # open image

tjthejuggler

# C:\Users\Thursday>python keras_for_juggling4.py
# Using TensorFlow backend.
# Traceback (most recent call last):
#   File "keras_for_juggling4.py", line 81, in <module>
#     validation_data=(test_data, test_labels_one_hot))
#   File "C:\Users\Thursday\Anaconda3\lib\site-packages\keras\models.py", line 963, in fit
#     validation_steps=validation_steps)
#   File "C:\Users\Thursday\Anaconda3\lib\site-packages\keras\engine\training.py", line 1637, in fit
#     batch_size=batch_size)
#   File "C:\Users\Thursday\Anaconda3\lib\site-packages\keras\engine\training.py", line 1483, in _standardize_user_data

tjthejuggler

#Traceback (most recent call last):
#  File "jugtrack.py", line 51, in <module>
#    track = new_track
#NameError: name 'new_track' is not defined

import numpy as np
import cv2
import math
colors = [(255,0,0), (125,125,125), (0,255,0), (0,0,255), (125,125,0)]

tjthejuggler

import numpy as np
import cv2
import math
colors = [(255,0,0), (125,125,125), (0,255,0), (0,0,255), (125,125,0)]
new = 0
track = []
radius = 18
thickness = 5
cap = cv2.VideoCapture(0)
for i in range(930): ret, img = cap.read()

tjthejuggler

from tkinter import * #for widgets
import tkinter as ttk #for widgets
import time #for sending midi
import rtmidi #for sending midi
#from ttk import *

midiout = rtmidi.MidiOut()
available_ports = midiout.get_ports()

if available_ports:

tjthejuggler

#this tracks any number of balls, so long as they are big enough
#  and fall into the 'white' color range well enough. glow balls
#  in darkness works
# import the necessary packages
import math
from math import hypot
from tkinter import * #for widgets
import tkinter as ttk #for widgets
from tkinter.scrolledtext import ScrolledText
import time #for sending midi

tjthejuggler

//YOU NEED AN IMAGE OF A CURSOR IN ORDER TO RUN THIS CODE:
//https://cdn.pixabay.com/photo/2012/04/01/12/39/cursor-23231_960_720.png

import gazetrack.*;
import java.awt.Toolkit;

PImage cursor;


GazeTrack gazeTrack;

tjthejuggler

{
    "text_prompts": {
        "0": [
            "empty black void of space constellation stars by Beeple"
        ],
        "360": [
            "astronaut in outerspace by Beeple"
        ],
        "720": [
            "a bright sun with planets by Beeple"