Cingulum Orionis
Multi tool use
Imago Cinguli Orionis. E sinistro Alnitak est, medio Alnilam, deinde Mintaka.
Charta stellaris Orionis. Situm est positio Cinguli Orionis in medio corporis Orionis.
Cingulum Orionis est cingulum stellarum trium in constellatione Orione. Stellae e sinistro visum sunt Alnitak (Zeta Oronis), Alnilam (Epsilon Orionis), et Mintaka (Delta Orionis).
In Hemisphaerio Septentrionali, Cingulum Orionis in caelo nocturno optime videtur per mensem Ianuarium, circa hora nona vespere.
Ordo stellarum |
Si quae stellae ordine difficiliter memoria tenere est, modum bonum quem levat est. Pendens ubi in Tellure vel qui caelestis vel ubi universo es, Cingulum Orionis varie videre potest. Sed si cingulum ut imaginem ad sinistrum vides, ubi e sinistro ad rectum visum ubi lineam cinguli ascendit, hic modus bene est: Alnitak, stella ibi deorsum quae sursum niteris, Alnilam, stella quae inter duo brevia terrarum inest ut Nilus fluvius, et Mintaka, stella quae supra ut tectum est.
Nexus externi |
|
Vicimedia Communia plura habent quae ad Cingulum Orionis spectant.
|
.mw-parser-output .stipula{padding:3px;background:#F7F8FF;border:1px solid grey;margin:auto}.mw-parser-output .stipula td.cell1{background:transparent;color:white}
|
Haec stipula ad astronomiam spectat. Amplifica, si potes!
|
VFQSd4VZ5SNO95CkrEEUW
Popular posts from this blog
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...
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...
1
$begingroup$
I have this LSTM model model = Sequential() model.add(Masking(mask_value=0, input_shape=(timesteps, features))) model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=False)) model.add(Dense(features, activation='softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) and shapes X_train (21, 11, 5), y_train (21, 5) . Each timestep is represented by 5 features and return_sequences is set to False because I want to predict one 5D array (the next timestep) for each input sequence of 11 timesteps. I get the error ValueError: y_true and y_pred have different number of output (5!=1) If I reshape the data as X_train (21, 11, 5), y_train (21, 1, 5) instead I get the error ValueError: Inva...
