Teburin Abubuwan Ciki[Boye][Nuna]
Ɗaya daga cikin mafi sauƙi amma mafi yawan ra'ayoyi masu ban sha'awa a cikin zurfin ilmantarwa shine gano abu. Muhimmin ra'ayi shine a raba kowane abu zuwa azuzuwan gaba waɗanda ke wakiltar halaye masu kama da juna sannan a zana akwati kewaye da shi.
Waɗannan halayen bambance-bambancen na iya zama masu sauƙi kamar nau'i ko launi, waɗanda ke taimakawa cikin ikon mu na rarraba su.
Aikace-aikace na Gano makamin ana aiki da su sosai a cikin kimiyyar likitanci, tuƙi mai cin gashin kansa, tsaro da soja, gudanarwar jama'a, da sauran fagage da yawa godiya ga ɗimbin ci gaba a cikin hangen nesa na kwamfuta da sarrafa hoto.
Anan muna da MMDetection, babban kayan aikin gano abu mai buɗe ido wanda aka gina akan Pytorch. A cikin wannan labarin, za mu bincika MMDetection daki-daki, ci gaba da hannu da shi, tattauna fasalinsa, da ƙari mai yawa.
Mene ne Bayanan MMD?
The Bayanan MMD Akwatin kayan aiki an ƙirƙira shi azaman tushen codebase na Python musamman don matsalolin da suka shafi gano abu da rarrabuwar misali.
Ana amfani da aiwatar da PyTorch, kuma an ƙirƙira shi a cikin tsari na zamani. Don gane abu da rarrabuwar misali, an haɗa nau'ikan ingantattun samfura cikin dabaru iri-iri.
Yana ba da izinin ƙima mai inganci da horarwa cikin sauri. A gefe guda, akwatin kayan aiki ya haɗa da ma'auni don hanyoyin sadarwa sama da 200 waɗanda aka riga aka horar, suna mai da shi saurin gyarawa a cikin filin gano abu.
Tare da ikon daidaita fasahohin yanzu ko ƙirƙirar sabon mai ganowa ta amfani da samfuran da ke akwai, MMDetection yana aiki azaman ma'auni.
Babban fasalin akwatin kayan aiki shine haɗa shi da madaidaiciya, sassa na yau da kullun daga na yau da kullun gano abu tsarin da za a iya amfani da shi don ƙirƙirar bututu na musamman ko samfuri na musamman.
Ƙarfin ma'auni na wannan kayan aikin yana sa ya zama mai sauƙi don gina sabon tsarin ganowa a saman tsarin da ake da shi kuma kwatanta aikin sa.
Features
- Shahararrun tsarin ganowa na zamani, kamar Faster RCNN, Mask RCNN, RetinaNet, da dai sauransu, kayan aikin kayan aiki suna da tallafi kai tsaye.
- Amfani da samfura 360+ da aka riga aka horar don daidaitawa (ko horarwa sabo).
- Don sanannun bayanan hangen nesa da suka haɗa da COCO, Cityscapes, LVIS, da PASCAL VOC.
- A kan GPUs, duk mahimman bbox da ayyukan abin rufe fuska ana aiwatar da su. Sauran codebases, kamar Detectron2, maskrcnn-benchmark, da SimpleDet, ana iya horar da su cikin sauri fiye da ko daidai da wannan.
- Masu bincike sun rushe gano abu tsarin zuwa sassa da yawa, waɗanda za a iya haɗa su don ƙirƙirar tsarin gano abu na musamman.
MMDetection Architecture
MMDetection yana ƙayyadaddun ƙirar ƙira wacce za a iya amfani da ita ga kowane ƙira tunda akwatin kayan aiki ne mai nau'ikan nau'ikan da aka riga aka gina, kowannensu yana da nasa gine-gine. Abubuwan da ke biyowa sun haɗa wannan gine-gine gabaɗaya:
- tsatso: Kashin baya, kamar ResNet-50 ba tare da cikakken haɗin kai na ƙarshe ba, shine ɓangaren da ke canza hoto zuwa fasalin taswira.
- Neck: Wuya shine sashin da ke haɗa kashin baya zuwa kawunansu. A kan ainihin taswirar fasalin ƙashin baya, yana yin wasu gyare-gyare ko sake daidaitawa. Siffar hanyar sadarwa ta Pyramid hoto ɗaya ne (FPN).
- DanseHead (AnchorHead/AnchorFreeHead): Shi ne bangaren da ke aiki akan manyan taswirorin fasali, kamar AnchorHead da AnchorFreeHead, kamar RPNHead, RetinaHead, da FCOHead.
- RoIEextractor: Tare da yin amfani da masu aiki kamar RoIPooling, shi ne sashin da ke jan fasalin RoIwise daga guda ɗaya ko tarin taswirar fasali. Samfurin SingleRoIEextractor yana fitar da fasalulluka na RoI daga matakin da ya dace da fasalin dala.
- RoIHead (BBoxHead/MaskHead): Shine ɓangaren tsarin da ke amfani da halayen RoI azaman shigarwa kuma yana haifar da takamaiman takamaiman aiki na tushen RoI, kamar rarrabuwar akwatin ɗaure / koma baya da tsinkayar abin rufe fuska.
An kwatanta ginin mataki-ɗaya da masu gano matakai biyu ta amfani da abubuwan da aka ambata. Za mu iya haɓaka hanyoyinmu ta hanyar gina ƴan sabobin sassa da haɗa wasu da ke akwai.
Jerin samfuran da aka haɗa a cikin MMDtection
MMDetection yana ba da manyan manyan lambobin ƙima don sanannun ƙira da yawa da kayan aikin da suka dace. Samfuran da aka yi a baya da hanyoyin daidaitawa waɗanda za a iya amfani da su tare da akwatin kayan aikin MMDetection an jera su a ƙasa. Jerin yana ci gaba da girma yayin da ake ƙara ƙarin samfura da hanyoyin.
- Mai sauri R-CNN
- Saurin R-CNN
- R-CNN mai rufe fuska
- RetinaNet
- DCN
- DCNv2
- Cascade R-CNN
- M2Det
- GHM
- ScratchDet
- Mai kai biyu R-CNN
- Grid R-CNN
- Farashin FSAF
- Libra R-CNN
- GCNet
- HRNet
- R-CNN Buga k'wallaye
- FCOS
- SSD
- R-FCN
- Hadin Kai Tsaye horo
- Daidaita nauyi
- Hybrid Task Cascade
- Anchoring jagora
- Gabaɗaya Hankali
Gina samfurin gano abu ta amfani da MMDetection
A cikin wannan koyawa, za mu zama littafin rubutu na haɗin gwiwa na Google saboda yana da sauƙin saitawa da amfani.
Installation
Don shigar da duk abin da muke buƙata, za mu fara shigar da darussan da suka dace kuma mu rufe aikin MMdetection GitHub.
Ana shigo da env
Yanzu za a shigo da muhallin aikin mu daga ma'ajiya.
Ana shigo da dakunan karatu da gano MM
Yanzu za mu shigo da dakunan karatu da ake buƙata, tare da MMdetection ba shakka.
Zazzage wuraren binciken da aka riga aka horar
Ya kamata a sauke wuraren binciken samfurin da aka riga aka horar daga MMdetection don ƙarin daidaitawa da ƙididdigewa.
Tsarin gini
Yanzu za mu gina samfurin kuma za mu yi amfani da wuraren bincike zuwa saitin bayanai.
Inference da ganowa
Yanzu da aka gina samfurin yadda ya kamata kuma an ɗora shi, bari mu bincika yadda yake da kyau. Muna amfani da babban matakin gano ƙimar API na MMDetection. An ƙera wannan API ɗin don sauƙaƙa tsarin ƙaddamarwa.
Sakamako
Mu kalli sakamakon.
Kammalawa
A ƙarshe, Akwatin kayan aiki na MMDetection ya yi fice kwanan nan da aka saki codebases kamar SimpleDet, Detectron, da Maskrcnn-benchmark. Tare da babban tarin samfurin,
MMDection yanzu fasahar zamani ce ta zamani. MMDetection ya fi duk sauran ma'ajin ƙididdiga dangane da inganci da aiki.
Ɗaya daga cikin mafi kyawun abubuwa game da MMdetection shine cewa za ku iya yanzu kawai nuna fayil ɗin sanyi na daban, zazzage wani wurin bincike daban, kuma ku gudanar da lamba ɗaya idan kuna son canza samfuran.
Ina ba da shawarar kallon su umarnin idan kun fuskanci matsaloli tare da kowane mataki ko kuna son aiwatar da wasunsu daban.
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