damanm24

function NewPollCtrl($scope, $http, $location, $q) {
  $scope.poll = {
    options: [{
      text: ''
    }, {
      text: ''
    }]
  };

  $scope.cbstate = "not-pressed";

damanm24

  let promiseURL = function(searchTerm) {
    return new Promise(function(resolve, reject) {
      $http.get('https://api.cognitive.microsoft.com/bing/v5.0/images/search?q=' + searchTerm + '&count=1&offset=0&mkt=en-us&safeSearch=Strict', {
        headers: {
          'Ocp-Apim-Subscription-Key': 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
        }
      }).success(function(response) {
        resolve(response);
      }).error(function(err, status) {
        reject(err);

damanm24

/**
 * LED Music Visualizer
 * by Daman Mulye
 * adapted from: https://github.com/hansjny/Natural-Nerd/tree/master/SoundReactive2
 * using the FastLED library: http://fastled.io/
 * June 9, 2019
 */
 
#include <FastLED.h>
#include "reactive_commons.h"

damanm24

/**
 * LED Music Visualizer
 * by Daman Mulye
 * adapted from: https://github.com/hansjny/Natural-Nerd/tree/master/SoundReactive2
 * using the FastLED library: http://fastled.io/
 * June 9, 2019
 */
 
#include <FastLED.h>
#include "reactive_commons.h"

damanm24

from scheduling.misc import *
from scheduling.TaskEntity import *


# read the input bounding box data from file
box_info = read_json_file('../dataset/waymo_ground_truth_flat.json')

frame_num = 0
boxes = {}

damanm24

from scheduling.misc import *
from scheduling.TaskEntity import *


# read the input bounding box data from file
box_info = read_json_file('../dataset/waymo_ground_truth_flat.json')


def process_frame(frame):
    """Process frame for scheduling.

damanm24

    cluster_boxes_data = get_cluster_box_info(frame, box_info)

    task_batches = []

    cluster_boxes_data.sort(key=lambda x : (x[2] - x[0]) * (x[3] - x[1]))

    # student's code here
    for i in range(len(cluster_boxes_data)):
        task = TaskEntity(image_path=frame.path, coord=cluster_boxes_data[i][:4], depth=cluster_boxes_data[i][4])
        task_batch = TaskBatch([task], task.img_width, task.img_height, priority=i)