Franklin Comitatus (Texia)






Comitatus collocatio in Texia


Franklin Comitatus (Anglice: Franklin County) est Texiae comitatus in Civitatibus Foederatis Americae 9458 incolarum (anno 2000). Comitatus, cuius caput est urbicula Mount Vernon, anno 1875 creatus est. In hoc comitatu decima pars incolarum (8.9 %) oriunda e America Latina est.



Nexus externus |







Commons-logo.svg
Vicimedia Communia plura habent quae ad Franklin Comitatum spectant.


  • De hoc comitatu in censu anno 2000

.mw-parser-output .stipula{padding:3px;background:#F7F8FF;border:1px solid grey;margin:auto}.mw-parser-output .stipula td.cell1{background:transparent;color:white}




Terra
Haec stipula ad geographiam spectat. Amplifica, si potes!



Texiae comitatus (counties)


Texiae vexillum


Anderson |
Andrews |
Angelina |
Aransas |
Archer |
Armstrong |
Atascosa |
Austin |
Bailey |
Bandera |
Bastrop |
Baylor |
Bee |
Bell |
Bexar |
Blanco |
Borden |
Bosque |
Bowie |
Brazoria |
Brazos |
Brewster |
Briscoe |
Brooks |
Brown |
Burleson |
Burnet |
Caldwell |
Calhoun |
Callahan |
Cameron |
Camp |
Carson |
Cass |
Castro |
Chambers |
Cherokee |
Childress |
Clay |
Cochran |
Coke |
Coleman |
Collin |
Collingsworth |
Colorado |
Comal |
Comanche |
Concho |
Cooke |
Coryell |
Cottle |
Crane |
Crockett |
Crosby |
Culberson |
Dallam |
Dallas |
Dawson |
Deaf Smith |
Delta |
Denton |
DeWitt |
Dickens |
Dimmit |
Donley |
Duval |
Eastland |
Ector |
Edwards |
El Paso |
Ellis |
Erath |
Falls |
Fannin |
Fayette |
Fisher |
Floyd |
Foard |
Fort Bend |
Franklin |
Freestone |
Frio |
Gaines |
Galveston |
Garza |
Gillespie |
Glasscock |
Goliad |
Gonzales |
Gray |
Grayson |
Gregg |
Grimes |
Guadalupe |
Hale |
Hall |
Hamilton |
Hansford |
Hardeman |
Hardin |
Harris |
Harrison |
Hartley |
Haskell |
Hays |
Hemphill |
Henderson |
Hidalgo |
Hill |
Hockley |
Hood |
Hopkins |
Houston |
Howard |
Hudspeth |
Hunt |
Hutchinson |
Irion |
Jack |
Jackson |
Jasper |
Jeff Davis |
Jefferson |
Jim Hogg |
Jim Wells |
Johnson |
Jones |
Karnes |
Kaufman |
Kendall |
Kenedy |
Kent |
Kerr |
Kimble |
King |
Kinney |
Kleberg |
Knox |
La Salle |
Lamar |
Lamb |
Lampasas |
Lavaca |
Lee |
Leon |
Liberty |
Limestone |
Lipscomb |
Live Oak |
Llano |
Loving |
Lubbock |
Lynn |
Madison |
Marion |
Martin |
Mason |
Matagorda |
Maverick |
McCulloch |
McLennan |
McMullen |
Medina |
Menard |
Midland |
Milam |
Mills |
Mitchell |
Montague |
Montgomery |
Moore |
Morris |
Motley |
Nacogdoches |
Navarro |
Newton |
Nolan |
Nueces |
Ochiltree |
Oldham |
Orange |
Palo Pinto |
Panola |
Parker |
Parmer |
Pecos |
Polk |
Potter |
Presidio |
Rains |
Randall |
Reagan |
Real |
Red River |
Reeves |
Refugio |
Roberts |
Robertson |
Rockwall |
Runnels |
Rusk |
Sabine |
San Augustine |
San Jacinto |
San Patricio |
San Saba |
Schleicher |
Scurry |
Shackelford |
Shelby |
Sherman |
Smith |
Somervell |
Starr |
Stephens |
Sterling |
Stonewall |
Sutton |
Swisher |
Tarrant |
Taylor |
Terrell |
Terry |
Throckmorton |
Titus |
Tom Green |
Travis |
Trinity |
Tyler |
Upshur |
Upton |
Uvalde |
Val Verde |
Van Zandt |
Victoria |
Walker |
Waller |
Ward |
Washington |
Webb |
Wharton |
Wheeler |
Wichita |
Wilbarger |
Willacy |
Williamson |
Wilson |
Winkler |
Wise |
Wood |
Yoakum |
Young |
Zapata |
Zavala













-

Popular posts from this blog

How to label and detect the document text images

Image
1 $begingroup$ This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C...
Read more

Vallis Paradisi

Image
Coordinata: .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct{display:none}.mw-parser-output .longitude,.mw-parser-output .latitude{white-space:nowrap} 33°03′S 71°37′W  /  33.05°S 71.617°W  / -33.05; -71.617 Vallis Paradisi Res apud Vicidata repertae: Civitas : Chilia Numerus incolarum : 296 655 Zona horaria : UTC-4 Situs interretialis Nomen officiale : Valparaíso Gubernium Consilium : municipal council of Valparaíso Geographia Superficies : 401 600 000 Metrum quadratum Coniunctiones urbium Urbes gemellae : Ovetum , Badalona , Santa Fe , Ora longa , Sciamhaevum , Quantunia , Callao , Bat Yam , Melaka , Novorossiysk , Busan , Corduba , Odessa , Rosario , Malacca , Barcino , Soteropolis , Franciscopolis (California) , Guanajuato, Silao Tabula aut despectus Despectus in portum sinumque et urbem Vallis Paradisi Vallis Para...
Read more

Tabula Rosettana

Image
Tabula multilinguis Rosettana in Museo Britannico ostenditur. Tabula Rosettana, [1] etiam titulo OGIS 90 agnita, est stela decreto de rebus sacris in Aegypto anno 196 a.C.n. lato inscripta. Tabula iuxta Rosettam Aegypti, urbem in delta Nili et ad oram maris Mediterranei iacentem, anno 1799 a milite Francico reperta est. Inventio stelae, linguis duabus scripturisque tribus inscriptae, eruditis Instituti Aegypti statim nuntiata est; ibi enim iussu imperatoris Napoleonis eruditi omnium scientiarum (sub aegide Commissionis Scientiarum et Artium) properaverant cum expeditione Francica. Qua a Britannis mox debellata, tabula Rosettana Londinium missa hodie apud Museum Britannicum iacet. Textus Graecus cito lectus interpretationi textuum Aegyptiorum (in formis hieroglyphica et demotica expressorum) gradatim adiuvit. Denique textum plene interpretatus est Ioannes Franciscus Champollion. Ab opere eruditorum cumulativo coepit hodiernus scripturae hieroglyphicae linguaeque Aegyptiae a...
Read more