Rubix982

# Base
server {
    list 8080:
    server_name localhost;

    location / {
        proxdy_pass $BACKEND_URL;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_cache_bypass $http_upgrade;

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version: "3.9"

services:
  postgis:
    image: "kartoza/postgis:14-3.3--v2022.08.30" # postgresql 14.0, postgis 3.3
    environment:
      - "POSTGRES_USER=fotoshi"
      - "POSTGRES_PASS=chris"
      - "POSTGRES_DBNAME=gis"
      - "POSTGRES_INITDB_WALDIR=/opt/postgres/pg_wal"

Rubix982

plot_images(all_images)

Rubix982

import os
import requests
from PIL import Image
from urllib.request import urlopen

all_images = []
os.makedirs('img')

for iter in image_id_list:

Rubix982

import matplotlib
import numpy
import typing

matplotlib.pyplot.tick_params(
  axis='x',          # changes apply to the x-axis
  which='both',      # both major and minor ticks are affected
  bottom=False,      # ticks along the bottom edge are off
  top=False,         # ticks along the top edge are off
  labelbottom=False

Rubix982

# Lets first save all of the data as a JSON
with open('image_id_list.json', 'w') as file_pointer:
  json.dump(image_id_list, file_pointer, indent=4)
  
# For each collection item, lets remove the property data to get a smaller JSON version
for iter in image_id_list:
  del iter['property_data']
  
# Lets save this version of the data as a JSON to recollect at any point in time
with open('image_id_list_without_property.json', 'w') as file_pointer:

Rubix982

import json
from mapillary.models.client import Client
from mapillary.config.api.entities import Entities

# Useful list of fields we can use
# For a complete list of possible values, please visit the below link
# https://mapillary.github.io/mapillary-python-sdk/docs/mapillary.config.api/mapillary.config.api.entities#static-get_imageimage_id-str-fields-list
fields_to_pass_for_the_image: list = ['thumb_2048_url', 'merge_cc', 'mesh',
                                      'sfm_cluster', 'atomic_scale',
                                      'camera_parameters', 'camera_type',

Rubix982

# import the geojson model from mapillary
from mapillary.models.geojson import GeoJSON

image_id_list: list = []

# Iterating over the rows of the df
for index, row in enumerate(safegraph_df.iterrows()):

  # An empty dictionary that will hold our data as we go along
  coordinates_to_image_id_dict: dict = {}

Rubix982

!pip install mapillary

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data = mly.get_image_looking_at(
    looker={
        "lng": 21.3967128843,
        "lat": 41.9946319051,
    },
    at={
        "lng": 21.3967117108,
        "lat": 41.9946228527,
    },
    radius=1000000,