The second step involves determining the number or tile rows and columns that will be requested for a given zoom level. First, we need to determine the output resolution for an input zoom level. The first step involves finding the metadata associated with the nearest panoramic image to a provided latitude and longitude. A call is made to Google Maps REST API to obtain metadata in JSON format. Simply replace “LAT” with your latitude and “LNG” with your longitude.Ī request is made using python requests to obtain the JSON metadata and the metadata is converted into a Python dictionary to obtain the values to the fields of interest, such as the panorama identifier label assigned by Google for the unique panoramic image, and overall panoramic image height and width. Reconstructing the tiles into a complete image.īefore getting to the script, I will describe the overall process used by the script to obtain the spherical imagery. Inputting a zoom level to adjust output resolution of the image (1 is lowest resolution, 5 is highest resolution).Ĥ. Obtaining metadata associated with the specific image, specifically the unique panoramic identification label and full image pixel resolution height and width.Ģ. I was recently exploring how to utilize Google Street View depth maps in combination with spherical imagery to reconstruct basic point clouds of city environments. I came across an article describing the process. I created a Python script to compose a panorama using Google Maps REST API using the methodology presented in the article. My script demonstrates:ġ. You can open the raw images in any spherical (360° panoramic) image viewer or use in a VR environment. If you need a more recent build, or different settings, you need to build it.įlight simulator that generates 3D scenery from OSM.The purpose of this article is to demonstrate how to obtain complete spherical images captured in Google Street View using Python. Areas with no OSM coverage may be set to be auto-generated. The official scenery sources provide a pre-built world. A powerful GPU and CPU is needed for high quality renders with large view distances. However, if you need realistic renders or a moving camera video with realistic weather and environment to showcase OSM data, FlightGear can produce it when configured properly - see their wiki for tips. FlightGear is a research quality simulator first, with an FDM engine that was used by NASA to set a benchmark - so expect a bit of learning curve. Notes on realistic renders to showcase OSM: Some learning to configure environment & weather. ![]() OSM objects are downloaded as you fly in FlightGear 2020.3.7 LTS or later. Detailed weather simulation with features like snow and rain build-up on OSM objects. Realistic weather and atmosphere rendering. Real-time rendering, accurate daylight and sky from celestial simulation. Can import OSM data through VTBuilder.įlight simulator: Accurate Earth model (oblate spheriod). Open-source Java application that shows 3D buildings, trees, and other elements.Ĭ++ OpenGL building and terrain generatorģD world generator. Isometric map of the Czech Republic generated from osm2pov Isometric map of Germany demonstrating what the 3D desktop application of OSM2World can do. Websites that show isometric maps Screenshot Shows 3D buildings, road signs, bridges, and trees. Map explorer that allows you to select viewing specific cities in various viewing applications or the 3D OSM Go viewer. ⇧ Shift + ↑ / ⇧ Shift + ↓ / ⇧ Shift + ← / ⇧ Shift + → Shows an example 3D rendering of indoor-modeled OSM elements. These scene layers can be used in Scene Viewer, ArcGIS Pro, and other ArcGIS apps that support 3D visualization.ģD buildings map visualization example on the MapLibre and Mapbox sites. These 3D scene layers feature global buildings and trees, with trees presented in two styles (realistic and thematic). Proprietary - terms at the bottom of their site in Frenchįree - composed of parts with different free licenses ![]() WebGL realtime render - with fountains, trees, meteo, shadows based on real sun/moon position Supported map features include but are not limited to complex building shapes, roads and paths, trees, etc. Applications that show 3D data Websites Screenshot
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Someone said, ‘Who’s that?’ Someone else replied, ‘That’s Colonel Michaelis, our new commander.’Īll three of the 27th’s battalions had seen battle. Walker’s chief of staff broke the news, then added: ‘Your plane leaves in 45 minutes.’ Michaelis recalled, ‘I put $25, a razor, and tooth brush in my pocket and took off.’ When Michaelis arrived at Pusan, I was aboard a troop ship, and vividly recall seeing this lone figure on the dock, standing with feet spread and hands on hips. His assignment to command the 27th came suddenly. ![]() He reverted to the rank of lieutenant colonel for that duty, but was publicly praised by Eisenhower as one of four lieutenant colonels in the Army ‘of extraordinary ability.’ When the Korean War broke out, Michaelis was in the G-3 (operations) Section of the Eighth Army in Japan. On his return to duty, he was appointed chief of staff of the 101st Airborne Division until the end of the war, then served as aide-de-camp to General Dwight D. Just three days shy of his 38th birthday when he got this tough assignment, he was a 1936 graduate of West Point, had risen to the rank of full colonel in World War II and commanded an airborne infantry regiment until he was wounded. Michaelis was a commander in whom Walker had a great deal of confidence. His orders were to secure Taegu from enemy penetration from that direction. He responded by moving without delay the regiment’s headquarters along with one reinforced battalion to a point across the Kumho River three miles north of Taegu on the Tabu-dong-Sangju road. On August 17, the Eighth Army handed the assignment of stopping the NKPA’s initial advance towards Taegu to the commander of the 27th, Colonel John H. Eighth Army and United Nations forces in Korea at the time, chose to use the regiment as one of his ‘Fire Brigades’–detached units that were rushed at crucial times to shore up threatened areas in the Pusan Perimeter.īy August 14, the ROK 1st Infantry Division, guarding a segment of the perimeter north of Taegu, was reporting that an enemy regiment with six tanks had entered the village of Kumwha, just two miles north of Tabu-dong. It was normally attached to the 25th Infantry Division, but Lt. The 27th Infantry played an unusual role in the early anxious moments of the war. One nightmare scenario had it that from Pusan, the NKPA could end the war by pushing American and South Korean units into the sea. The stakes in this contest were very high: If the North Koreans could break through the 27th’s defense, they could barrel down to Taegu, the site of Eighth Army and ROK Army headquarters, capture its key communications center and rail line, then be in a position to threaten Pusan–the city that on August 18, as a result of the NKPA’s ability to shell Taegu, had been declared the temporary capital of South Korea, and now housed President Syngman Rhee’s government. As an officer of the 27th Infantry, I happened to be both an eyewitness and a participant in this one, a grueling seven nights of armored attacks against United Nations infantry and artillery units. There were many onslaughts against the Pusan Perimeter in the course of the struggle. Army’s 27th Infantry Division (‘Wolfhounds’) and the Republic of Korea’s (ROK) 1st Infantry Division faced off against a determined effort by the North Korean People’s Army’s (NKPA) 1st and 13th Infantry divisions to break through this segment of the Pusan Perimeter. There, between August 18 and 25, 1950, the U.S. ![]() The Battles of the Bowling Alley took place in a narrow valley north of Tabu-dong, Korea, on the Taegu-Sangju road. Korean War: Battles of the Bowling Alley Close Insane damage output that can deal up to 176K Damage in total.Despite that one weakness, VoltaiK's Sword is still an amazing relic. The 1st activation is very easy while the 2nd one isn't, which is a huge bummer. It can deal a total of 176,754 damage and it is split by the elements of Thunder and Dark, which means it isn't walled by each other's element unless the monster had both elements. 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