miracleyoo

# Create .bash_profile in your home directory and add these lines:

export SHELL=/bin/zsh
exec /bin/zsh -l

miracleyoo

import cv2

def frame_count(video_path, manual=False):
    def manual_count(handler):
        frames = 0
        while True:
            status, frame = handler.read()
            if not status:
                break
            frames += 1

miracleyoo

# freezing layers !!!
#-------------------------------------------------------------------------------
def freeze_until(net, param_name):
    found_name = False
    for name, params in net.named_parameters():
        if name == param_name:
            found_name = True
        params.requires_grad = found_name
        
# freeze_until(net, "layer3.0.conv1.weight")

miracleyoo

import numpy as np
import torch

def generate_images_pack_matrix(in_root, train=False):
    # make a seed with numpy generator 
    seed = np.random.randint(2147483647)
    
    in_root = Path(in_root)
    img_paths = [i for i in list(in_root.iterdir()) if i.is_file() and not i.name.startswith(".")]
    img_paths.sort(key=lambda x:int(x.stem))

miracleyoo

#!/usr/bin/env python3
"""
Library providing convenient classes and methods for writing data to files.
"""
import sys
import json
import pickle

try:
    import yaml

miracleyoo

import collections

pred_type = collections.namedtuple('prediction_type', ['slice', 'color'])
pred_types = {'face': pred_type(slice(0, 17), (0.682, 0.780, 0.909, 0.5)),
              'eyebrow1': pred_type(slice(17, 22), (1.0, 0.498, 0.055, 0.4)),
              'eyebrow2': pred_type(slice(22, 27), (1.0, 0.498, 0.055, 0.4)),
              'nose': pred_type(slice(27, 31), (0.345, 0.239, 0.443, 0.4)),
              'nostril': pred_type(slice(31, 36), (0.345, 0.239, 0.443, 0.4)),
              'eye1': pred_type(slice(36, 42), (0.596, 0.875, 0.541, 0.3)),
              'eye2': pred_type(slice(42, 48), (0.596, 0.875, 0.541, 0.3)),

miracleyoo

import matplotlib
matplotlib.use('Agg') # Call in python file
# %matplotlib inline # Call in Jupyter Notebook

# Draw line plot
def draw2D(X, Y, order, xname, yname, params, xlim=None, ylim=None, rcparams=None, legend_loc=0, show=False):

    title = params['title']
    colors = params['colors']
    markers = params['markers']

miracleyoo

#For Python 2.x
reload(foo)

#For Python 3.x
import importlib
import foo #import the module here, so that it can be reloaded.
importlib.reload(foo)

miracleyoo

import cv2, os
import numpy as np

# Only opencv3 is supported!
if not (cv2.__version__).startswith('3.'):
    raise ValueError('Only opencv 3. is supported!')


def crop_video(pathIn, pathOut, pos, size):
    """

miracleyoo

// 3 ways to start a snackbar without pass in a view.
Snackbar.make(mapFragment.getView(), "Click the pin for more options", Snackbar.LENGTH_LONG).show();
getWindow().getDecorView().getRootView();
Snackbar.make(getWindow().getDecorView().getRootView(), "Click the pin for more options", Snackbar.LENGTH_LONG).show();