Scutelleridae

Multi tool use
Cantao
|

|
Cantao ocellatus
|
Taxinomia
|
Regnum:
|
Animalia
|
Phylum:
|
Arthropoda
|
Classis:
|
Insecta
|
Ordo:
|
Hemiptera
|
Subordo:
|
Heteroptera
|
Infraordo:
|
Pentatomomorpha
|
Superfamilia:
|
Pentatomoidea
|
Familia:
|
Scutelleridae
|
Scutelleridae sunt familia insectorum superfamiliae Pentatomoideorum quorum scutellae membrorum non evanescunt. Colores eorum insigniter sunt multi et vividi.[1]
Subfamiliae et genera |
Familia circa 81 genera et circa 450 species per orbem terrrarum comprehendit.
- Elvisurinae
Austrotichus Gross, 1975
Coleotichus White, 1839
Elvisura Spinola, 1837
Solenosthedium Spinola, 1837
Solenotichus Martin, 1897
- Eurygastrinae Amyot & Audinet-Serville, 1843
- Euptychodera
Eurygaster Laporte de Castelnau, 1833
- Fokkeria
- Phimodera
- Vanduzeeina
- Hoteinae
Deroplax Mayr, 1864
Ellipsocoris Mayr, 1864
Hotea Amyot & Serville, 1843
- Odontotarsinae Mulsant & Rey, 1865
Ahmadocoris Carapezza, 2009
Alphocoris Germar, 1830
Melanodema Jakovlev, 1880
Odontotarsiellus Hoberlandt, 1955
Odontotarsus Laporte, 1833
Urothyreus Horváth, 1921
- Pachycorinae Amyot & Audinet-Serville, 1843
- Acantholomidea
- Camirus
- Diolcus
- Homaemus
- Orsilochides
- Pachycoris
- Sphyrocoris
- Stethaulax
- Symphylus
- Tetyra
- Scutellerinae Leach, 1815
- Augocoris
- Cantao
- Chrysocoris
- Lampromicra
- Sphaerocoris
- Tectocorinae McDonald & Cassis, 1984
Notae |
↑ Jewel Bugs. Commonwealth Scientific and Industrial Research Organisation.
Nexus externi |
Jewel Bugs. Commonwealth Scientific and Industrial Research Organisation (CSIRO) Entomology.
g,f ERhSFNbzA tgIrxZG bwyAC1kQYtV,pjnTcWo0BRqFPGUTkifYIlmm,wH d,DpEHxIqs qAE1fC GXoa1pd AMa6l
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...