xóotaayu lu nekk

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Luy xayma xóotaayu 'monokular'?
   • Xalaatal xóotaayu benn nataal
   • Jëfandikoo ñaari kamera ngir xool stéréo
   • Jëfandikoo ab kaptër LiDAR
   • Natt xóotaayu ondes son
2. Lan moo nekkoon pexem DepthAnything ngir mëna am généralisation bu dëgër?
   • Etiketu loxo ab done bu ndaw bu am kalite bu kawe
   • Taggat ci lu tollu ci 62 milioŋ ciy nataal yuñ etikete seen bopp te etikete wuñu leen
   • Jëfandikoo ay done yuñ defaree motëru jeu synthetik
   • Japp ci ñaari kamera stéréo
3. Ban enkodeer la DepthAnything tabax ci kaw?
   • A ResNet-18 CNN
   • Reseau LSTM buy baaxoo
   • Transformatëru gis-gis bu DINOv2
   • Detektër YOLO
4. Ban xeetu xóotaayu DepthAnything mooy njëkka génne?
   • Distance bi ci meetar
   • Binaire kanam/ci ginaaw kese
   • coordonnées GPS
   • xóotaayu relatif (gëna jege wala gëna sori)
5. naka la ko DepthAnything V2 gënee yombal ay detay yu rafet ak ay boor?
   • Soo tàggatee jàngalekat bi ci ay done yuñ defaree ay done yu lalu ci dëgg, ba noppi nga dindi ko
   • Yokk yeneen etiketu bruit dëgg
   • Soo dindi enkoderu transformatër bi
   • Jëfandikoo ay dugal yu am dayo bu néew
6. Ban aplikaasioŋ moo dul jëfandikoo kàrtu xóotaayu monokulaar?
   • Flou de fond ci mode portrait
   • Enkripsioŋ trafik reso bi
   • Conditioning xóotaayu ControlNet
   • Soppi nataal 2D ci 3D
7. What dense prediction head does the Depth Anything guide pair with its DINOv2 encoder?
   • A Marching Tetrahedra mesh extractor
   • A CLIP text-image similarity head
   • A DPT-style dense prediction head
   • A causal language-model decoder
8. How does Depth Anything V2 use a teacher model with unlabeled real photos?
   • The teacher converts each photo into a 3D mesh
   • The teacher supplies only image captions to a language model
   • The teacher replaces all synthetic depth labels with manually measured distances
   • The teacher generates pseudo-depth labels that are used to train student models