david-littlefield

// Transform > Position > Code

var composition_width = thisComp.width;
var composition_height = thisComp.height;
var x_value = composition_width / 2;
var y_value = composition_height / 2;
[x_value, y_value];

david-littlefield

// Transform > Anchor Point > Code

var object_layer = thisComp.layer("Controller");
var object_rectangle = object_layer.sourceRectAtTime();
var object_left = object_rectangle.left;
var object_top = object_rectangle.top;
var object_width = object_rectangle.width;
var object_height = object_rectangle.height;
var x_value = object_left + (object_width / 2);
var y_value = object_top + (object_height / 2);

david-littlefield

// Transform > Anchor Point > Code
var text_rectangle = thisLayer.sourceRectAtTime(time, false);
var text_left = text_rectangle.left;
var text_top = text_rectangle.top;
var text_width = text_rectangle.width;
var text_height = text_rectangle.height;
var x_value = text_left;
var y_value = text_top + text_height;
[x_value, y_value];

david-littlefield

// Contents > Rectangle > Rectangle Path > Shape > Code

var padding_value = thisComp.layer("Controller").effect("Padding")("Slider");
var text_layer = thisComp.layer("Subtitle");
var text_rectangle = text_layer.sourceRectAtTime();
var text_width = text_rectangle.width;
var text_height = text_rectangle.height;
var text_background_width = text_width + (padding_value * 2);
var text_background_height = text_height + (padding_value * 2);
[text_background_width, text_background_height];

david-littlefield

// Transform > Position > Code


var text_composition = comp("Top");
var text_layer = text_composition.layer("Subtitle");
var text_rectangle = text_layer.sourceRectAtTime();
var text_left = text_rectangle.left;
var text_top = text_rectangle.top;
var text_width = text_rectangle.width;
var text_height = text_rectangle.height;

david-littlefield

# sets user to default user for web server
user www-data;

# sets number of cpu cores to use
worker_processes auto;

# customizes how to handle connections
events {
    
    # sets number of connections to use per cpu core

david-littlefield

---

REFERENCES FOR LEARNING & USING APPLESCRIPT Modified: 2018/06/19 18:47

---

NOTES

AppleScript is a rather peculiar scripting language to learn.

david-littlefield

david-littlefield

from fastai.vision.all import *
from fastbook import *

file_directory = untar_data(URLs.MNIST_SAMPLE)

training_3_file_paths = (file_directory/'train'/'3').ls().sorted()
training_3_tensors = [tensor(Image.open(file_path)) for file_path in training_3_file_paths]
training_3_tensors = torch.stack(training_3_tensors).float() / 255
training_7_file_paths = (file_directory/'train'/'7').ls().sorted()
training_7_tensors = [tensor(Image.open(file_path)) for file_path in training_7_file_paths]

david-littlefield

parser = argparse.ArgumentParser(description='DSFD:Dual Shot Face Detector')

parser.add_argument('--trained_model', default='weights/WIDERFace_DSFD_RES152.pth',
                    type=str, help='Trained state_dict file path to open')
parser.add_argument('--save_folder', default='eval_tools/', type=str,
                    help='Dir to save results')
parser.add_argument('--visual_threshold', default=0.1, type=float,
                    help='Final confidence threshold')
parser.add_argument('--cuda', default=False, type=bool,
                    help='Use cuda to train model')