Digma

import glob
import os
import pandas as pd

# Data from: https://publish.obsidian.md/vg-layoffs/Archive/2024
# The data is stored in a directory with one CSV per year. Change the directory name accordingly
path = './data/gaming-layoff/'
all_files = glob.glob(os.path.join(path, "*.csv"))     # advisable to use os.path.join as this makes concatenation OS independent

# Load all the CSVs into a single dataframe

Digma

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Data from Our World in Data (https://ourworldindata.org/grapher/ghg-emissions-by-sector)
df = pd.read_csv('data/ghg-emissions-by-sector.csv')

df_grouped = (
    df
    .drop(columns=["Entity", "Code"])

Digma

def updateSpaces(db, parking_id, spaces_taken):
    doc_ref = db.collection(u'parklots').document(parking_id)
    doc_ref.update({
        u'occupied_parking_spaces': spaces_taken
    })

Digma

parser.add_argument('--image', help='Path to image file.')
parser.add_argument('--video', help='Path to video file.')
parser.add_argument('--streaming', help='Path to video url')

def load_open_cv_capture(args):
    if args.image:
        # Open the image file
        file_does_not_exist(args.image)

        cap = cv.VideoCapture(args.image)

Digma

def is_parked_car(bounding_box, bounding_boxes_history, current_frame_idx, look_at_past_n, detection_ratio):
    """
    Determine if car is detected as parked
    
    :param bounding_box: Tuple of pixel positions (left, top, right, bottom)
    :param bounding_boxes_history: List of bounding box including frame number (frame_id, left, top, right, bottom)
    :param current_frame_idx: Index of current frame
    :param look_at_past_n: Number of frame to consider for classification
    :param detection_ratio: Minimum ratio to classify a car as parked
    :return: boolean

Digma

def get_center_coords(bounding_box):
    left, top, width, height = bounding_box

    center_coord_y = int(left + width / 2.)
    center_coord_x = int(top + height / 2.)

    return center_coord_x, center_coord_y


def get_shortest_side_lenght(bounding_box):

Digma

def is_car(class_name):
    return class_name in str(["car", "truck", "bus"])

Digma

#!/usr/bin/env bash

for filename in $1/*; do
    ./darknet detect cfg/yolov3.cfg weights/yolov3.weights "$filename" -out "out_$(basename "$filename")"
done

Digma

#!/usr/bin/env bash

git clone https://github.com/sowson/darknet.git
cd darknet
make

mkdir -p weights
wget https://pjreddie.com/media/files/yolov3.weights -O ./weights/yolov3.weights

Digma

export GOPATH=$HOME/Go
export GOROOT=/usr/local/opt/go/libexec
export PATH=$PATH:$GOPATH/bin
export PATH=$PATH:$GOROOT/bin

if [ -f $(brew --prefix)/etc/bash_completion ]; then
  . $(brew --prefix)/etc/bash_completion
fi

if [ -f "$(brew --prefix)/opt/bash-git-prompt/share/gitprompt.sh" ]; then