Porta palatii ad Lakhnau anno 1801 dipictus per Gulielmum Daniell
Lakhnaū, scriptura Arabica لکھنو, Devanagari लखनऊ (Anglice Lucknow) est urbs Indiae circiter 2.337.000 incolarum et civitatis Uttar Pradesh caput.
Index
1Incolae noti
1.1Nati
1.2Mortui
2Bibliographia
3Nexus externi
Incolae noti |
Nati |
1940: Cliff Richard
Mortui |
1785: Iosephus Tiefenthaler
Bibliographia |
"Lucknow" in Encyclopaedia Britannica. 11a ed. (Sicagi, 1911) html djvu
"Lucknow" in Walter Hamilton, The East India Gazetteer (Londinii: Murray, 1815) textus
"Lucknow" in H. Yule, A. C. Burnell; Gulielmus Crooke, ed., Hobson-Jobson. 2a ed. (Londinii: Murray, 1903) ~ ~
"Lucknow Division; Lucknow District; Lucknow City" in William Stevenson Meyer et al., The Imperial Gazetteer of India (2a ed. 26 voll. Oxonii: Clarendon Press, 1908-1931) textus
"Lucknow" in A Handbook for Travellers in India, Burma, and Ceylon (8a ed. Londinii: John Murray, 1911) Textus
Nexus externi |
Vicimedia Communia plura habent quae ad Lakhnau spectant.
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...
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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...
