InoteveraGaidhi rinotevera
Real-Nguva Voice Agents
AI Yenyaya
Gwara reVisual AI
YOLO Real-Nguva Kuonekwa
YOLO (Iwe Chete Kutarisa Kamwe) imhuri yemhando yekuona zvinhu zvinowana uye kunyora chinhu chese chiri mumufananidzo chine imwechete neural network pass, nekukurumidza zvakaringana vhidhiyo mhenyu.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Kumhanya kwayo kwakavhurwa chaiyo-nguva chiono pane zvese kubva kuma drones kusvika kune wega-checkout kiosks.
Kudzika Kwakadzika
Pamberi peYOLO, madhigirii akaita seR-CNN akamhanyisa kirasi zviuru zvenguva munzvimbo dzemifananidzo, izvo zvainonoka. YOLO, yakaunzwa naJoseph Redmon muna 2015, yakagadziridza kuona sedambudziko rimwe rekudzoreredza: patsanura chifananidzo kuita grid, uye kune imwe neimwe sero kufanotaura mabhokisi anosungirirwa, chibodzwa chekupokana, uye mukana wekirasi mune imwechete yekupfuura. Iyo 'kutaridzika kamwe' dhizaini yakaita kuti ikurumidze zvakanyanya kupfuura madhigirii maviri-nhanho ichiramba ichiripo. Mhuri yakashanduka nekukurumidza kuburikidza neshanduro dzakawanda (YOLOv2 kuburikidza neYOLOv8 uye mberi), ichiwedzera mabhokisi eanchor, mabhonzo ari nani, uye misoro isina anchor. Misiyano yemazuva ano inomhanya zvinodarika zana mafuremu pasekondi paGPU, zvichiita kuti YOLO ive sarudzo yekusarudzika kana latency ichikosha sekurongeka.
Kuitwa muNyika yeChokwadi
Self-checkout systems uye cashier-shoma zvitoro zvinoona zvinhu sezvo vatengesi vanozvitora
Drones uye marobhoti ekurima anoona zvirimwa, masora, kana zvipfuyo munguva chaiyo
Traffic uye yekutarisa makamera ekuverenga mota uye kuona vanofamba netsoka kune smart-guta analytics.
Mitsetse yekugadzira inoisa mureza wezvikamu zvakakanganisika pabhandi rekutakura rinomhanya
Ramangwana reYOLO Real-Time Detection
YOLO inoramba ichienda kumucheto kutumirwa, iine madiki emhando dzemhando dzinomhanya panharembozha, mamicrocontrollers, uye akamisikidzwa makamera asina gore. Zvitsva zvinoburitswa zvinosanganisa zvinoshandura zvinhu uye anchor-yemahara madhizaini ekurongeka pasina kupira kumhanya. Tarisira kubatanidzwa kwakasimba nekutevera uye kupatsanura, kuvhurika-mazwi ekuona iyo inoziva zvinhu kubva kune zvinyorwa zvinokurudzira kwete kune yakatarwa mavara, uye kuenderera mberi nekutarisa kumhanya nemazvo pane yakachipa, yakaderera-simba hardware kumucheto.
Kuzvishandisa
Nei zvichikosha
- Kumhanya uye chiyero. Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
- Vaka sarudzo. Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
- Team uye workflow. Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.
Chenjera
- Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.
- Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.
- Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.
Matanho anotevera
- Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
- Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
- Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
- Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the YOLO Real-Time Detection quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi YOLO Real-Time Detection?
YOLO (Iwe Chete Kutarisa Kamwe) imhuri yemhando yekuona zvinhu zvinowana uye kunyora chinhu chese chiri mumufananidzo chine imwechete neural network pass, nekukurumidza zvakaringana vhidhiyo mhenyu. Kumhanya kwayo kwakavhurwa chaiyo-nguva chiono pane zvese kubva kuma drones kusvika kune wega-checkout kiosks.
Chii chinonzi acronym YOLO muchirevo chechinyorwa chino?
YOLO inomirira kuti 'Iwe Chete Kutarisa Kamwe,' kuratidza kuti inoona zvinhu zvese mune imwechete neural network ichipfuura pamufananidzo.
Which cross-domain evaluation did the original YOLO paper report?
The original paper reports evaluation on the Picasso and People-Art datasets as a test of generalization from natural images to artwork.
Ndeipi nzira inobvisa zvakapetwa, anopindirana mabhokisi anosungirirana mune zvinobuda zveYOLO?
Non-maximum suppression inochengeta bhokisi rekuvimbika kwepamusoro uye rinorasa mabhokisi ari pamusoro pemharadzano-pamusoro-mubatanidzwa.
Mune yekutanga YOLO dhizaini, mufananidzo wekuisa unokamurwa sei kuti ufembere?
YOLO inotsemura mufananidzo kuita S neS grid, uye sero rega rega rine basa rekufanotaura mabhokisi uye mukana wekirasi wezvinhu zviri mukati maro.
Ndeupi huwandu hunofanotaura sero yega yega yegidhi padivi peanosungirira mabhokisi?
Sero rega rega rinofanotaura kurongeka kwebhokisi, chibodzwa chekuvimbika, uye zvingangoitika zvekirasi, zvese zvakabatana mukupasa kumwechete.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi