blogs.openstreetmap.org

S'abonner à flux blogs.openstreetmap.org
OpenStreetMap blog aggregator
Mis à jour : il y a 21 min 2 sec

Mappers in Uusikaupunki

il y a 3 heures 29 min

Hi,

If there are any mappers in Uusikaupunki, or nearby, and you want someone to map with, maybe we could work together. I'm male, in my late thirties, I don't have a car, only a bicycle. I have been mapping for a few years every now and then.

Sama suomeksi.

OpenStreetMap Carto release v4.13.0

il y a 3 heures 36 min

Dear all,

Today, v4.13.0 of the OpenStreetMap Carto stylesheet (the default stylesheet on the OSM website) has been released. Once changes are deployed on the openstreetmap.org it will take couple of days before all tiles show the new rendering.

Changes include:

  • Increased shield distances on roads
  • Added icon for shop=ticket
  • Added icon for shop=houseware
  • Added icon for shop=charity
  • Added icon for shop=second_hand
  • Added icon for shop=interior_decoration
  • Added icon for amenity=bureau_de_change
  • Added icon for amenity=casino
  • Added icon for amenity=boat_rental
  • Updated shop=department_store icon
  • Small documentation and code fixes

Thanks to all the contributors for this release.

For a full list of commits, see https://github.com/gravitystorm/openstreetmap-carto/compare/v4.12.0...v4.13.0

As always, we welcome any bug reports at https://github.com/gravitystorm/openstreetmap-carto/issues

public_transport=stop_position nodes

il y a 6 heures 27 min

It's no secret that I'm trying to figure out how to simplify mapping of public transport to bring it within reach of all mappers. All without losing the ability to map stops, lines and itineraries in full detail without any limitations. My vision is that a stop with no discernible objects in the middle of nowhere and a stop with all possible equipment should be mapped exactly the same: as a NODE next to the highway/railway.

There are many stop_position nodes I added over time that don't serve much of a purpose, but then there are some that PT_Assistant's validator actually started to depend on. It's those that 'terminate' itinerary variations.

Maybe we should get terminology defined first.

What I call a line, is represented as route_master relations in OSM (and confusingly found in routes.txt in GTFS). What I call an itinerary or itinerary variation is represented as route relations in OSM. And stops, well I'd say highway=bus_stop, railway=tram_stop, railway=halt to begin with and public_transport=platform + mode of transport, if you like.

Anyway, stop_position nodes as indication of where an itinerary starts/ends (and splitting the way on those nodes) does make sense.

I still wouldn't add them for each and every stop though, I still wouldn't add any details like name on them and I definitely wouldn't add them to the route relations though. That's what the nodes next to the highway/railway are used for.

Ô dù quảng cáo

il y a 7 heures 36 min

Công ty chúng tôi chuyên cung cấp các sản phẩm ô dù quảng cáo tại Hà Nội

This is My Life

il y a 8 heures 40 min

This is my life my only life and I am the sole gatekeeper, I shall fill it with what and whom I choose.

Wochennotiz Nr. 417

il y a 11 heures 17 min

10.07.2018-16.07.2018

Ausrichtung der Straßen in verschiedenen europäischen Städten 1 | © Geoff Boeing, Tobias Kunze; © Kartendaten OpenStreetMap-Mitwirkende

Mapping
  • User Warin stören einige Methoden und Tagging-Schemata, wie sie auf im Wiki zum Thema Golfplätze beschrieben werden, da sie besonders für neue Mapper sehr kompliziert und teilweise falsch wirken. Auf der Mailingliste Tagging regt er damit zu einer Diskussion an, die unter anderem zum Ergebnis kommt, dass selbst das Erfassen der Grashöhe dort von Bedeutung sein kann.
  • Leo Gaspard möchte gerne das Tagging landuse=highway fördern, möglicherweise mit landcover=asphalt. Straßenflächen werden allerdings mit area:highway=* getaggt, wie auch Bryan Housel feststellt. Der im Wiki sehr verteilte Tagging-Vorschlag area:highway=* (über 132.000 mal in Verwendung) ist allerdings schon mit einem optionalen surface-Tag ausgestattet, das mittels der Fläche deutlich subtiler als über die abstrakte Straße abgebildet werden könnte, wenn ein Renderer dies übernimmt.
  • Jemand, der schon einmal versucht hat, einen erfundenen Namen eines „Gipfels“ in OSM einzutragen, versucht es erneut, indem er/sie ein Gipfelkreuz gebastelt und aufgestellt hat. Es gibt aber auch Meinungen, die solche Handlungen legitimieren. Daraus entstand eine längere Diskussion auf der Mailingliste Talk-at.
  • Danilo möchte vom Gleitschirm aus Luftbilder anfertigen und bittet auf der Mailingliste Talk-ch deshalb um Hinweise bzgl. der Kamerabefestigung.
  • Im deutschen Forum kam die Frage auf, wie viele Ampeln an komplexen Kreuzungen mit Fußgängerüberwegen gemappt werden sollten. Die Antwort lautet „alle“, jedoch sollte man die Fußgängerampeln mit highway=crossing und crossing=traffic_signals taggen, um sie von den Ampeln für den Straßenverkehr zu unterscheiden.
  • Das Projekt farmshops.eu der Open Knowledge Lab Karlsruhe wird im deutschen Forum weiterhin konstruktiv diskutiert. Änderungswünsche der Community sind willkommen.
  • Der Schlüssel ephemeral=* für flüchtige, saisonale Gewässer ist als Vorschlag veröffentlicht worden. Die Abstimmung wurde aber zwischenzeitlich unterbrochen.
  • Der Tagging-Vorschlag aeroway=highway_strip (wir berichteten) steht bis zum 31. Juli zur Abstimmung.
Community
  • Die OSM-API ist derzeit langsamer, weil derweil ein Datenbankserver in York (England) der Master-Datenbankserver ist und nicht ein Server in London. Grund dafür sind Vorbereitungen für einen Umzug der im Imperial College in London stehenden Server zu Equinix in Amsterdam (wir berichteten). Für den Umzug werden in Amsterdam noch Freiwillige aus der regionalen OSM-Community gesucht.
  • OSM US hat noch nicht den/die Richtige für die erstmals zu besetzende Position eines Geschäftsführers gefunden und sucht weiter.
  • OSM Belgien hat Lionel Giard aka Anakil als Mapper des Monats vorgestellt.
  • chris66 hat beim Mappen ein Objekt gefunden, das eine Mine sein könnte.
  • Die Abstimmung über die OSM Awards 2018 endet am 26. Juli.
  • Rixx zeigt in einem Blogpost die Ausrichtung der Straßen in verschiedenen europäischen Städten. Dazu hat er ein Python-Script geschrieben, das er auf GitHub zur Verfügung stellt.Auch Mapbox springt auf diesen Zug auf und präsentiert sogar ein Kartentool, das die Orientierung der Straßen im angezeigten Ausschnitt darstellt. Wie auch Rixx präsentiert Mapbox in einem Blogpost, wie das Tool entstanden ist und veröffentlicht es auf GitHub.
  • Der Verkehrsverbund Bremen-Niedersachsen hat für Tätigkeiten im Zusammenhang mit Open Data ein bis zwei Stellen für Studierende ausgeschrieben (via Mailingliste).
  • Uber möchte mit kalifornischen Angestellten in Delhi (Indien) OSM verbessern. Es sollen keine massenhafte Änderungen erfolgen oder automatisch erzeugte Daten importiert werden.
OpenStreetMap Foundation
  • Michael Paulmann und Niklas Alt möchten eine FOSSGIS-Summer-School für Studierende und Lehrlinge im dritten Lehrjahr voranbringen und stellen ihre Idee auf der Mailingliste FOSSGIS-Talk vor.
  • Die OpenStreetMap Foundation hat einen Bericht veröffentlicht, in dem Neuigkeiten aus dem OSMF-Umfeld zusammengefasst werden. Regelmäßige Leser der Wochennotiz haben das meiste wahrscheinlich schon mitbekommen, es finden sich in dem Bericht aber auch einige weitere Informationen, zum Beispiel aus den einzelnen Working Groups.
Veranstaltungen Karten
  • Der Kartenstil Outdoor der unter dem Namen Thunderforest firmierenden Tileangebote von Andy Allans unterstützt jetzt sac_scale=*.
  • Skinfaxi stellt (per Mail) einen neuen Dienst von sinnvoll ausgeschnittenen topografischen Karten für Schweden und den südlichen Anrainerländern im Maßstab 1:50.000 vor, die als PDF geladen werden können. Leider gibt es kaum eine Dokumentation (Beispiel als PDF).
switch2OSM
  • Stefan Keller präsentiert auf der Mailingliste Talk-ch das Projekt OpenSchoolMaps.ch, mit dem SwissOSM offene Karten im Unterricht an Schulen fördern will. Es werden hauptsächlich Daten von OpenStreetMap verwendet.
  • Der Benutzer jbelien veröffentlicht einen Blogeintrag darüber, warum man OSM statt Google Maps verwenden sollte, den er ursprünglich für den Open Summer of Code 2018 in Belgien geschrieben hat.
Programmierung
  • User mmd möchte die teils sehr langen Wartezeiten beim Hochladen von Änderungen zur OSM-API vermeiden und hat den sogenannten Diff-Upload neu implementiert. Er ist jetzt deutlich schneller. Bisher liefen schon Tests mit JOSM, iD, Potlatch 2, Vespucci, StreetComplete und GoMap!!. mmd sucht noch mehr Tester, um mögliche Probleme frühzeitig zu erkennen.
  • Die Erweiterung GeoPandas für die Python-Programmbibliothek Pandas hat kürzlich ein Update erhalten. Dabei wurde unter anderem die Performance des Overlays verbessert. Eine lange Liste führt alle weiteren neuen Funktionen und Bug Fixes auf.
Releases
  • Die Version 1.3.0 von Maputnik ist erschienen.
  • Wambachers OSM Software Watchlist versorgt euch regelmäßig mit den neuesten Releases. Die Aktualisierung erfolgt jetzt zweimal wöchentlich.
Kennst du schon …
  • … die Webseite von Thomas Konrad, auf der er die OSM-Gebäudeabdeckung in Österreich mit offiziellen Daten vergleicht? Mit über 85% Abdeckung sind in Österreich schon eine Menge Gebäude gemappt, wobei die Werte in einzelnen Regionen teilweise noch unter 50% liegen.
  • Unmapped Places von Pascal Neis? Dieses Tool filtert unsere Datenbank nach Orten, denen auf OSM bisher nur sehr wenig Aufmerksamkeit geschenkt wurde. Auch im deutschsprachigen Raum finden sich noch einige solche Orte, wobei das Tool aber nicht immer richtig liegt.
OSM in der Presse
  • Die Verlegung von 21 weiteren Stolpersteinen durch Gunter Demnig in Ulm war einen Bericht in der „Südwest Presse“ wert.
    Der Link zur OpenStreetMap – HistoricPlace findet sich selten in der Presse.
Weitere Themen mit Geo-Bezug
  • Der deutsche Online-Blog beyond-print stellt das Startup cartida vor, das sich auf den Druck von Karten auf OSM-Basis als Wandschmuck spezialisiert hat.
  • govtech.com, ein Onlineportal, das sich mit der Integration von Informationstechnologie in Regierungen beschäftigt, berichtet, dass die neuen API-Beschränkungen von Google Maps keinen Einfluss auf Regierungen haben. Viele Regierungsinstitutionen nutzen ohnehin eher die Produkte von ESRI, Mapbox oder Boundless Spatial.
  • Der Vorstand des Mississippis Board of Licensure für Berufsingenieure und Landvermesser verklagte das Unternehmen Vizaline, das Banken Polygone auf Satellitenbildern zur Gewährung von Krediten zur Verfügung stellt. Die Landvermesser sind der Meinung, dass dies ausschließlich eine hoheitliche Aufgabe sein kann.
  • Es ist kein Geheimnis, dass neue Benutzer OSM nicht immer nur verbessern. Eine aktuelle Studie gibt ein wenig mehr Einsicht hinter das Thema.
  • Mongaby, ein Onlinemagazin für Umweltthemen, schreibt in einem Artikel über MapHubs. MapHubs ist eine kommerzielle Plattform, auf der Karten und Geodaten gespeichert werden können. Mit dem OSM Earth Tasking Manager bringt sich das Unternehmen auch in OpenStreetMap ein.
  • The Register berichtet über ein Paper von Microsoft, Virginia Tech und der University of Electronic Science and Technology of China. Darin wird beschrieben, wie sich mit einem Raspberry Pi und einem Software Defined Radio vom Typ HackRF One (175 US-Dollar) Fahrzeuge „entführen“ lassen können. Technisch handelt es sich dabei um GPS-Spoofing, das im Umfeld von Militärmanövern häufig eingesetzt wird. Damit das Fahrzeug auf der Straße bleibt, wurden mit OSM-Daten Routen berechnet.
  • Die Website visualising data.com hat die 53. Episode ihrer „Das kleine bisschen Visualisierungsdesign“Serie veröffentlicht. Die Serie konzentriert sich auf kleine Designauswahlen und demonstriert es mit einem Beispielprojekt in jeder Episode. Anhand eines Artikels aus The Guardian erklärt die Website in der aktuellen Episode die Verwendung von Miniaturansichten, die dem Betrachter die Orientierung erleichtern.
Wochenvorschau Wo Was Wann Land Mumble OpenStreetMap Foundation public board meeting 2018-07-19 Heidelberg End of semester Mapathon 2018-07-19 Essen Mappertreffen 2018-07-21 Düsseldorf Stammtisch 2018-07-25 Lübeck Lübecker Mappertreffen 2018-07-26 Stuttgart Stuttgarter Stammtisch 2018-08-01 Bochum Mappertreffen 2018-08-02 München Münchner Stammtisch 2018-08-08 Urspring Stammtisch Ulmer Alb 2018-08-09

Hinweis:
Wer seinen Termin hier in der Liste sehen möchte, trage ihn in den Kalender ein. Nur Termine, die dort stehen, werden in die Wochennotiz übernommen. Bitte prüfe die Veranstaltung in unserem öffentlichen Kalendertool und korrigiere bitte die Einträge im Kalender, wenn notwendig.

Diese Wochennotiz wurde erstellt von Nakaner, Rogehm, derFred, bjoern_m, doktorpixel14.

Ver, Los Increibles 2 Pelicula Completa en Español Latino

il y a 14 heures 50 min

(2018) Los Increíbles 2 Pelicula Completa En Español, Descargar Los Increíbles 2 película en español y latino online gratis

Ver Pelicula completa ~>> https://idplschool.org/pelicula/260513/los-incre%C3%ADbles-2/

Los Increíbles 2

Helen tiene que liderar una campaña para que los superhéroes regresen, mientras Bob vive su vida “normal” con Violet, Dash y el bebé Jack-Jack —cuyos superpoderes descubriremos—.

Ver Los Increíbles 2 película completa, Los Increíbles 2 película y latino, Los Increíbles 2 ver gratis hd, Los Increíbles 2 película online descargar, Los Increíbles 2 ver gratis torrent,Los Increíbles 2 película completa en espanol gratis, Los Increíbles 2 HD, Los Increíbles 2 subtítulo en español, Los Increíbles 2 película, Los Increíbles 2 torrent hd gratis

Su misión se va a pique cuando aparece un nuevo villano con un brillante plan que lo amenaza todo. Pero los Parr no se amedrentarán y menos teniendo a Frozone de su parte.

Release: 2018-06-14 Rating: 7.7 Production: Walt Disney Pictures / Pixar /

Making the most of State of the Map

dim 22 jui 2018 - 23:46

Photo CC-BY-NC Mariano Mantel

There is a great program of talks and workshops for this year’s State of the Map, but as people gather from around the world we want to help you make the most of this in-person time together.

Travel tips

To help you travel stress free we have added useful info to our website. For example, once in Milan, the easiest way to get to State of the Map is to take the M2 (green) subway line to Piola.

Flying in to Malpensa Airport? Buying tickets online saves money only if you buy a Malpensa Express Return Ticket 30 Days – you pay 20€ instead of 26€. The departure and the return journeys can be made within 3 hours of the time of train you select and the ticket is sent to an email address.

View the attendee list

OpenStreetMap communities form an integral part of OpenStreetMap. We interact online throughout the year but seldom have an opportunity to meet those that live far from us. As we come together at State of the Map we have made the attendee list available to help you make connections, meet old friends and form new ones.

Run a session

Check out the program for this year’s selection of talks. Perhaps something new has happened since the deadline for proposing talks, perhaps you didn’t have the idea quite worked out.

Throughout the 3 days we have spare rooms for you to host a break out session (Birds of a feather session). And on Monday we have some extra Lightning Talk slots available. These are quick five-minute talks that don’t need to have slides.

You can sign up for both by visiting the registration desk at State of the Map. Keep an eye on the board to see what other people have added; you wouldn’t want to miss something amazing!

Join in from home

Not able to attend this year’s State of the Map? We will be live streaming the main rooms throughout the event. Keep an eye on our website for the links.

You can also follow us on Twitter @sotm and use the hashtag #sotm. And new this year, we have created a telegram group for the conference. Join us here.

Your State of the Map team

Mapeando diversos Municípios do Estado de Pernambuco - Brasil

dim 22 jui 2018 - 22:43

Boa Tarde,

Essa semana mapiei diversas cidades do interior de pernambuco e inseri nomes de Ruas e avenidas em muitos bairros.

Tinha parado uns dias de mapear por conta de trabalho mais já estou de volta mapeando diariamente nas minhas horas vagas e entre um município e outro vou viajando e conhecendo os municípios pernambucanos.

Continuo com o mapeamento nas cidades de pernambuco.

Um Ótimo começo de semana todos e vamos em frente!

Raphaelmirc

Data preparation for feature detection with Robosat

dim 22 jui 2018 - 19:18

Building detection at Villa Imelda, MacArthur.

For the last couple of weekends I’ve been tinkering with Robosat to detect features from aerial imagery. At its core RoboSat is using state of the art fully convolutional neural network architectures for semantic segmentation.

Daniel posted an excellent walk-through to run the RoboSat pipeline on openly available drone imagery in Tanzania.

This post follows Daniel’s guide for detecting buildings in drone imagery in the Philippines. The goal of this exercise is for me to understand the basics of the pipeline and find ways to use the tool in identifying remote settlements from high resolution imagery (i.e drones). I’m not aiming for pixel-perfect detection (i.e precise geometry of the building). My main question is whether it can help direct a human mapper focus on specific areas in the imagery to map in OpenStreetMap.

Daniel already outlined the step-by-step process. This post will focus primarily on the data preparation. To be able to build a robust model for feature extraction it is important to create a clean dataset as input to training your model.

The data

Dan Joseph from the American Red Cross collected a lot of drone imagery in Visayas, PH summer of last year. Thanks Dan and ARC! 🙇‍. I chose these images to start with my experiment because of the amazing resolution (up to 2 — 3 cm) and Dan and his team used this imagery to trace buildings which I can use for training the model.

The imagery is available in OpenAerialMap as individual TMS or GeoTIFFs — no composite seems to be available. In order for me to collect enough samples I needed to get images and masks from several of these GeoTIFFs or their corresponding TMS endpoint.

Data preparation

I downloaded several of the GeoTIFFs and clipped the OSM buildings from the bounding boxes of each imagery. These buildings will be used as training labels. But this is not enough, “presence” (positive samples) data will only give so much reliability, we also need to provide our model with “absence” (negative samples) data. Here’s an example of the data I traced using QGIS in addition to the buildings from OSM to bootstrap my negative samples.

imagery bounds > imagery > building > other cover types.

Cleaning the “presence” data

As illustrated above, drone imagery usually don’t have a squarish boundary so using the bounding boxes to clip data from OSM is not optimal. You will get black tiles with buildings which can affect your model. In my initial data prep I got images like this in my training samples.

No imagery, but with buildings in OSM.

The are two options to clean the data, you can:

  • run rs cover, rs download and rs rasterize for all the images then delete these tiles or,
  • delete the buildings outside of the actual boundary of the imagery in QGS (you can do this too in JOSM, but make sure you don’t upload 😉 )

I chose the former approach because its faster. There may also be cases when the building polygon is not aligned to the imagery particularly when it was traced from another imagery source. Fortunately ,this is very minimal in my sampling areas and these smaller problems won’t be a problem during training as long as there is not a large constant bias in the dataset.

Adding “absence” data

For adding negative samples, I traced several polygons representing common landcover types such as roads, water/riverbeds, orchards, farmland (wet and dry) and bare areas. I added various landcover types so that the model can learn that these are not the features it should detect. In order to avoid overlapping with the building tiles I overlayed a z21 tile boundary in QGIS and only traced landcover type the does not overlap with a building poly.

Now that I have both positive and negative polygons, I need to run rs cover, rs download and rs rasterize to create a slippymap directory with images and rasterized buildings. Since I have to do this in all individual imagery, I created a script that loop through each imagery list from OpenAerialMap. Run the script for your positive and and negative samples snd combine samples in a single directory using rsync.

# Combine negative and postive samples to one slippymap directory mkdir combine-images rsync -vrh positive-images/21 combine-images/ rsync -vrh negative-images/21 combine-images/ # do the same for the rasterize output

In total I have 15,237 samples at zoom level 21. 7104 (46%) for presence of buildings and, 8,133 (54%) absence (negatives).

Training the model

Once data is ready, I can start training the model. I need to split the imagery and mask tiles into training, validation and a final evaluation dataset using rs subset. For my sample I split them into training 80%, validation 10%, and evaluation 10%.

Then run rs weight to calculate the class distribution of the masks in your dataset. Save the result of rs weights in your RoboSat dataset configuration file (dataset-building.toml).

Finally, start training the model. I used a GPU capable (aws p2x.large) machine to run the training.

./rs train --model config/model-unet.toml --dataset config/dataset-building.toml

In my training, I chose 4 as my batch size and 50 epochs. The checkpoints are saved after each epoch for evaluation. Once the training is done, the results are visualized on the saved plot files like below.

The main indicator to choosing which checkpoint to use for prediction is the validation mean IoU. In my trained model the highest mean validation IoU (~0.82) was at epoch 40.

Visualizing the result

Before running the trained model to another imagery, I visually inspected the results using my evaluation dataset. This is a good dataset to use since it was never “seen” by the model during the training process.

# Run prediction to the evaluation data ./rs predict --tile_size 256 --model config/model-unet-maning.toml --dataset config/dataset-building.toml --checkpoint tmp/pth/checkpoint-00040-of-00050.pth dataset/evaluation/images/ evaluation-segmentation/ # Get masks from segmentation probabilities ./rs masks evaluation-masks/ evaluation-segmenttation # Compare images, segmentation and masks ./rs compare evaluation-compare/ dataset/evaluation/images/ evaluation-segmentation/ evaluation-masks/

Here are some results of the prediction (imagery-left, segmentation probability-middle, mask-right).

Good detection

Not so good

In most cases, the prediction looks pretty good except for landcover types that are very similar to building rooftops like paved highways, vehicle or when the structure is covered by trees. But overall I’m satisfied with the initial result.

Putting it all together

Now that I have trained model, I used it to predict detection in another imagery. Instead of downloading the tiles from OAM, I used Daniel’s tiler script to create tiles from a GeoTIFF.

python3 tiler.py --zoom 20 660c5321-0334-471f-bca5-829d85fb1d40.tif 660c5321-images/

Delete completely blank tiles to prevent running the prediction on them (these are mostly found on the edges of the imagery boundary). This speeds up your prediction time.

find . -name "*.webp" -size -190c -delete #the filesize will depend on your imagery, make sure to delete only the blank tiles.

Run the prediction.

./rs predict --tile_size 256 --model config/model-unet-maning.toml --dataset config/dataset-building.toml --checkpoint tmp/pth/checkpoint-00040-of-00050.pth 660c5321-images 660c5321-segmentation

To visualize in a map, I created a leaflet side-by-side webmap to compare the predicted segmentation probabilities and the imagery. See the result here.

Of course, I had to load the data into an OSM editor! So I blended the imagery and segmentation together using imagemagick.

Give it a try! Go to OSM and copy the TMS endpoint below in ID’s custom background imagery.

https://s3.amazonaws.com/maning-robosat/660c5321-blend/{z}/{x}/{y}.png

Takeaways
  • The process is straightforward, thanks to Daniel’s and Bhargav’s excellent README and diary posts. Part of this experiment is to confirm that anyone can do it without any knowledge of machine learning and I confirm it is possible. I have started reading some ML basics though to know more. This fastai lesson 0 video is a great introduction to the concept.
  • We can leverage open data and open source to build ML based detection models. All data (buildings from OSM, imagery from OpenAerilaMap) and tools (Robosat, QGIS) all free and openly accessible. This experiment won’t be possible without access to these data and tools.
  • It is critical that you have a clean data that you feed to the model prediction (GIGO). In my initial iterations the results were really bad because I did not include enough negative training samples. The outcome of your model highly depends on the training data you provide it.
  • A lot of data preparation can be done on a modest laptop. I only used a GPU capable machine for model training. What will take weeks to do the training on a CPU will take only hours with a GPU. In my case I deployed a p2.xlarge instance from AWS. This cost money, an ondemand p2.xlarge in in aws costs USD 0.9/hour. My current bill is around USD 50 after 4 iterations of model training.
  • I had fun! At first running a full machine learning stack seems daunting but RoboSat makes it so simple.
What’s next

The past few weekends was really fun, I plan to continue iterating on the training models and share back results (more visualizations in this repo). I had discussions with several friends doing drone capture and they think automated detection like this can help in the initial assessment of an area say after a crisis. Next time, I want to explore:

  • add more training samples into my current model using various drone imagery;
  • creating models for other feature types;
  • convert the result into vector (rs features) and feed it directly to the editor or a tasking tool.
  • publish my model for anyone to use, let me know in comments 👋 here if you want to test my models.

Give robosat a try! The devs are more than happy to help you along the way!

http://pushpmagazine.com/face-beauty/

dim 22 jui 2018 - 17:32

After your bath, try applying your face creams to your hands instead of your usual lotion and then slip on a pair of cotton gloves for added moisturizing softness. You’ll wake up with gorgeous hands.

The trick to fabulous beach lips is to go ever-so-slightly beyond your lip line with a light glaze of clear or pale pink gloss. Too much will run or smear after you’ve been in the water.

Women with heart shaped faces should avoid hairstyles that are short and fall at the nape of the neck. This only makes the face more pronounced. Instead, opt for longer styles with bangs that frame the jaw line.

Created linkway for the first time.

dim 22 jui 2018 - 16:27

I created way which has _link tag for the first time.I did not have ever edited road.So, I may have made a mistake.

Change set is here

Neuen Track hinzufügen

sam 21 jui 2018 - 17:20

Hallo,

ich habe einen neuen GPS track als eigenständige Datei (ist nicht in openstreetmaps vorhanden). Das hochladen ist kein Problem. Aber die Tags. Gibt es eine Möglichkeit in JOSM, die Tags eines anderen Wegs auf den neuen zu übertragen oder, wenn das nicht geht, würde ich nur den Track hochladen und jemand anderes könnte die Tags nachtragen?

Vielen Dank Michael

Схема размещения МФЗ на М-11.jpg

sam 21 jui 2018 - 13:09
Схема размещения МФЗ на М-11.(1 лист).jpg

https://cloud.mail.ru/public/5SQg/5H6wZirkV

Search Engine Optimization, SEO in short, is the happening term in online business

sam 21 jui 2018 - 11:55

When your business exists online, this digital media technique has to be inevitably used. We offer best and affordable SEO service that helps your site to rank number one in the top search engines like Yahoo, Google, and Bing. This means the users get to see your business on the first page, and your business gets highlighted, and this drives traffic to your site. You can enjoy services for all types of businesses. Own a small business or a global level business? Do not worry, we offer solutions that suit your prerequisites.

SEO Service Delhi@http://www.seocity.co.in/

Internet - The India has 3rd largest web surfer in globe. We had boom in the online market place in last decade. As Indian services sector grow, the corporate or service employee started have more movement. Most of these customers really internet savvy and in the mean time the movers packers industry does don't have that much presence over the net. So there was a gap with regards to to connect. The gap was filled by Google or bing.

Patterson Property Solutions

sam 21 jui 2018 - 11:01

Many people ponder if they want to pay an agent’s commissions. But they seldom consider the restless nights of not knowing when their agent may bring them a good buyer. Website: https://www.webuyrichmondvahomes.com

Patterson Property Solutions

sam 21 jui 2018 - 11:01

Many people ponder if they want to pay an agent’s commissions. But they seldom consider the restless nights of not knowing when their agent may bring them a good buyer. Website: https://www.webuyrichmondvahomes.com

EmailBot

sam 21 jui 2018 - 10:28

Email Bot: An automated Email Sending platform driven by Artificial intelligence to help you make maximum out of Email Marketing. Email Bot is among the most trusted Email Sending platform where we have integrated automation with artificial intelligence to ensure that our user doesn’t lose out on any opportunity while sending the emails. Email Bot Makes use of Dedicated IPS, Spam Filters, and Email Servers to make sure each email is delivered to user’s inbox. We make sure of AI to make sure not even a single email goes to SPAM. Email Marketing is a highly volatile one. It undergoes changes every passing hour Rules and Regulations are changed every single moment by Email Providers. With Email Bot, you get an automated platform that uses artificial intelligence in order to identify the SPAM Content and filter it properly. Each Email is send using IP Rotation Techniques. We have 2300 Dedicated IPS and Powerful Servers to make sure your message reaches to potential clients or customers. Email Bot makes Email Marketing an easy venture for all its users. Developed on extensive usage of AI, it is among the most efficient Email Sending platform available which executes automated tracking, sending reports, delivery reports and click reports. For all those who values time, money and essence of both. Email Bot is the platform to be a part of with no knowledge of programming and codes required, it is as easy as it can be to set up and get going. You don’t even need to possess extensive knowledge or any expertise of programming, our all systems and its regular analysis takes care of that part too for you. Every Email Send in SPAM folder is an opportunity lost. Be a part of Email Bot NOW emailbot.io and start maximizing your profits like hundreds of others doing it already. Works: Email Bot is super easy to setup and install. The support team from Email Bot helps you to set it up and get going. It hardly takes 25-30 minutes for Email Bot platform to be set up on your system and it is just a onetime set up to avail lifetime automated Email Sending. After registering with Email Bot, you just need to Configure and select the servers and Limits
Auto Mode: When the platform is set up on auto mode, the bot is authorized to execute the sending in automated mode. It analyzes the email content and filters it using Artificial intelligence for 100% Delivery. Setting up the platform on automated mode ensures that user never loses out on an opportunity that is there to make profit. Schedule Mode: Email Bot platform is an ideal one for Drip Email Marketing. Drip Marketing is one of the best marketing approaches and using Email Bot you can schedule the emails. You can start a drip campaign in 10 minutes.

weeklyOSM 417

sam 21 jui 2018 - 9:38

10/07/2018-16/07/2018

    Orientation of streets in European cities 1 | © Geoff Boeing, Tobias Kunze © map data OpenStreetMap contributors

Mapping
  • Warin, who noticed a new mapper trying to map a golf course, complained to the tagging mailing list about the current wiki page describing how to map a golf course. That triggered a lengthy discussion on the mailing list, where we discovered that it makes sense to consider even the grass height in recognising the tee area.
  • Leo Gaspard would like the landuse=highway tag to be used more often as he wants road areas to be tagged along with their surfaces. However, as noted during the conversation, the widely used area:highway=* includes an optional surface tag already.
  • Danilo reported on the Swiss mailing list his experience with creating his own aerial images with a paraglider. He mentioned the project opendronemap.org, a toolchain for processing aerial imagery. His example result (large file) looks promising.
  • How many traffic light nodes should be added for complex intersections? This question was raised in the German forum. The conclusion was to tag traffic lights for pedestrians with highway=crossing and crossing=traffic_signals to avoid multiple time penalties when routing cars over an intersection with multiple traffic lights. The possibility to add the direction of traffic lights was also mentioned.
  • The Open Knowledge Lab Karlsruhe has created a map that shows farm shops, market places and vending machines for food and milk in Austria, Germany, Switzerland and some neighbouring regions. They explain the map and future plans in the German forum . If you want to join the development or make your own map for your region, you can find the project on GitHub.
  • Warin61 has created a proposal for ephemeral water, i.e. water that is only present for short duration.
  • The voting for the tagging proposal aeroway=highway_strip is under way.
Community
  • The OSM API is currenly running slower than usual because the master OSM server is moving from Imperial College, London to the Equinix data centre in Amsterdam. In the transition period, a slower server in York, England is serving as the database master server (we reported earlier). The OWG is looking for volunteers from the Amsterdam OSM community to help during the move on 25 and 26 July.
  • OSM US has not found the right person for the new position of an executive director and is still waiting for more applications.
  • OSM Belgium has chosen Lionel Giard (OSM Anakil) as mapper of the month and published an interview with him about his way of contributing.
  • chris66 found an object during his field survey which was treated as a land mine by the police. His finding resulted in the arrival of an Ordnance Disposal Unit and was reported in a local newspaper. He received tips in the always-helpful German forum (automatic translation) on the different ways to tag a crater.
  • The voting for the OSM Awards ends on July 26th. Please vote if you have not done so already.
  • The media platform TriplePundit published a story about the benefits of collaborative problem-solving. It mentioned the well-known code creation and mapping efforts for disaster relief but also forward-looking development aid such as openRMS, an open source enterprise electronic medical record system platform for resource-constrained environments.
  • [1] Rixx published a blog post about the orientation of streets in European cities. He wrote a Python script, which
    he made available on GitHub, which shows the direction that a city’s streets run in most often. He continues the work of Geoff Boeing who wrote a blog post "Comparing City Street Orientations" using his OSMnx Python library. In a description of OSMnx Christoph linked to a number of blog posts about OSMnx use cases ranging from figure-ground diagrams over isochrone maps to network-based spatial clustering.

    Mapbox catches up with its own version and presented a slippy map with streets orientations. In a blog post they explained their implementation that is available at GitHub.

  • The company Uber uses OSM internally for fare calculations and to optimise driver and rider matching as they have explained in the forum. The team in Palo Alto will start fixing bugs found in OSM by Uber drivers in the Delhi region in India as a test. According to their forum post, they will share the profiles of the editors on Uber’s OSM page, will follow the Organised Editing Best Practices and Indian guidelines, and do not plan to make large-scale, machine-generated edits.
OpenStreetMap Foundation
  • The OpenStreetMap Foundation has published a report highlighting OSM and OSMF related updates. Regular readers of the weeklyOSM may have heard some of the updates already but there is also a lot of new information such as working group insights in the report.
Events Maps
  • The outdoor map provided by Andy Allan’s commercial Thunderforest Platform is now rendering difficulty classifications based on sac_scale.
  • Skinfaxi introduces a new service of meaningfully cut out topographic maps for Sweden and the southern neighbouring countries on a scale of 1:50.000, which can be downloaded as PDF. Unfortunately there is hardly any documentation (example as PDF).
switch2OSM
  • User jbelien has published an article in the OSM user diaries on why one should use OSM instead of Google. The article was originally written for the Open Summer of Code 2018 in Belgium. If you prefer the article in French, voilà.
Programming
  • Have you ever been impatiently waiting for your large changeset to finish uploading? Then you might be interested in the blog post from mmd. He wrote about a new, faster changeset upload implementation that has been developed and is available for testing now. Instructions on how to help with testing are included in the blog post.
  • A new version of GeoPandas, an extension for Python’s data science package Pandas, was just released. GeoPandas extends Pandas’ data types and allows spatial operations on geometric types that would otherwise require a spatial database such as PostGIS. The new version 0.4.0 improves the performance and behaviour of the overlay functionality. Further, there is a long list of other new features and bug fixes.
Releases
  • The version 1.3.0 of Maputnik, a free visual style editor for maps, has been released.
  • Wambacher’s software list was updated as of July 17. The almost endless list shows the current versions of OSM related software.
Did you know …
  • … that Thomas Konrad created a website showing the coverage of buildings in Austria compared to public data. While he considers Austria as a whole nearly complete (with coverage greater than 85 percent), there are still areas with coverage below 50 percent where some work needs to be done.
  • … of Pascal’s website Unmapped Places? The intention of this tool is to detect under-represented regions a.k.a. “unmapped” places in OpenStreetMap. Basically it checks whether a road can be found within 700 m around a place= tag or otherwise it will be flagged as unmapped.
Other “geo” things
  • The German blog beyong-print published a post about the start-up cartida that is offering art prints of maps based on OSM data in different styles and sizes. Currently they only ship to Germany, Austria, France, Netherlands, Belgium and Luxembourg but they plan to add more countries.
  • govtech.com, an online portal covering information technology’s role in state and local governments, reported that Google’s new API restrictions will have minimal impact on goverment bodies. From July 16 onwards, Google Maps requires an official API key and a valid credit card attached to the account in order to work. However, state and local governments prefer using paid products from ESRI, Mapbox and Boundless Spatial for their work.
  • The Mississippi’s Board of Licensure for Professional Engineers and Surveyors sued the company Vizaline, which provides banks with polygons on satellite images for use in granting loans. The Board says that it should be the state entity solely responsible for land surveying.
  • It is no secret that new edits do not always improve the data in OSM. A research study now provided some more insight. The conclusion was that the completeness and positional precision of features can be improved up to 14% if you take the history data of objects into account.
  • Mongabay, an online platform for environmental topics, published an article about MapHubs. MapHubs is a commercial platform storing maps and spatial data for viewing and analyzing. Paying users can use public and private data sets to create customised maps showing deforestation and generate time-lapse videos in "minihubs" called websites.
  • The website visualising data published the 53th episode of its "the little of visualisation design" series. The series focuses on small design choices and demonstrates with a sample project in each episode. Using an article from The Guardian, the website explains in the current episode the use of thumbnail map images that helps orientate the viewer.
Upcoming Events
    Where What When Country Bamako OSM training at Faculté Sciences et Technologies 2018-07-16-2018-07-20 Mali Mumble Creek OpenStreetMap Foundation public board meeting 2018-07-19 Heidelberg End of semester Mapathon 2018-07-19 Essen Mappertreffen 2018-07-21 Tokyo 東京!街歩き!マッピングパーティ:第21回 増上寺 2018-07-21 Greater Manchester More Joy Diversion 2018-07-21 Nottingham Pub Meetup 2018-07-24 Düsseldorf Stammtisch 2018-07-25 Lübeck Lübecker Mappertreffen 2018-07-26 Manila Maptime! Manila 2018-07-26 Milan State of the Map 2018 (international conference) 2018-07-28-2018-07-30 Stuttgart Stuttgarter Stammtisch 2018-08-01 Bochum Mappertreffen 2018-08-02 Amagasaki みんなのサマーセミナー:地図、描いてますか?描きましょう! 2018-08-05 London Missing Maps Mapathon 2018-08-07 Munich Münchner Stammtisch 2018-08-08 Urspring Stammtisch Ulmer Alb 2018-08-09 Dar es Salaam FOSS4G & HOT Summit 2018 2018-08-29-2018-08-31 Buenos Aires State of the Map Latam 2018 2018-09-24-2018-09-25 Detroit State of the Map US 2018 2018-10-05-2018-10-07 Bengaluru State of the Map Asia 2018 2018-11-17-2018-11-18 Melbourne FOSS4G SotM Oceania 2018 2018-11-20-2018-11-23

    Note: If you like to see your event here, please put it into the calendar. Only data which is there, will appear in weeklyOSM. Please check your event in our public calendar preview and correct it, where appropriate.

This weeklyOSM was produced by Nakaner, Polyglot, Rogehm, SK53, SunCobalt, YoViajo, derFred, jinalfoflia.

Pages