An warware: pytorch sami haɗin kai tsakanin abin rufe fuska biyu

A cikin duniyar sarrafa hoto da hangen nesa na kwamfuta, yin aiki tare da abin rufe fuska aiki ne na gama-gari kuma mai mahimmanci. Masks suna taimaka mana mu mai da hankali kan takamaiman yankuna na hoto da amfani da ayyuka daban-daban zuwa waɗannan yankuna. Ɗaya daga cikin ayyukan gama gari da ake yi akan abin rufe fuska shine gano mahadar tsakanin abin rufe fuska biyu. A cikin wannan labarin, za mu bincika wani bayani na Python don samun haɗin kai tsakanin masks biyu da kuma samar da bayanin mataki-mataki na lambar. Za mu kuma tattauna dakunan karatu masu dacewa da ayyuka waɗanda ke taimakawa wajen magance irin waɗannan matsalolin.

Don magance matsalar haɗin kai, za mu yi amfani da mashahurin ɗakin karatu na Python, NumPy. NumPy babban ɗakin karatu ne mai ƙarfi wanda ke ba da goyan baya don aiki tare da manyan, tsararraki masu girma dabam da matrices, da kuma babban tarin manyan ayyuka na lissafi don aiki akan waɗannan tsararrun.

Samun Matsayin Masks Biyu

Don farawa, za mu buƙaci masks guda biyu, waɗanda aka wakilta a matsayin tsararru na siffar da girman girman, inda kowane kashi ya dace da pixel a cikin hoton. Don sauƙi, za mu yi amfani da masks na binary tare da ƙimar 0 (baƙar fata) da 1 (fararen fata). Za'a iya ƙididdige mahaɗin mashin ɗin ta hanyar yin amfani da mashin-hikima mai hikima.

Anan ga matakin mataki-mataki na lambar:

import numpy as np

def mask_intersection(mask1, mask2):
    return mask1 * mask2

1. Shigo da ɗakin karatu na NumPy azaman np.
2. Ƙayyade aikin da ake kira `mask_intersection' wanda ke ɗaukar abin rufe fuska biyu azaman shigarwa.
3. Koma sakamakon haɓaka-hikima na mashin shigar guda biyu.

Yanzu zaku iya amfani da wannan aikin mai sauƙi don ƙididdige haɗin gwiwar masks biyu. Misali:

mask1 = np.array([[1, 0, 1], [0, 1, 0], [1, 1, 0]])
mask2 = np.array([[1, 1, 1], [0, 1, 0], [1, 0, 0]])

intersection = mask_intersection(mask1, mask2)
print(intersection)

Wannan zai fitar da:

““
[1 0]
[0 1]
[1]
““

Matsayin NumPy a Gudanar da Hoto

Lambobi yana taka muhimmiyar rawa wajen sarrafa hoto da ayyukan hangen nesa na kwamfuta. Ingantacciyar ingantacciyar sa da ingantaccen matrix da ayyukan tsararru suna ba masu haɓaka damar yin ƙididdige ƙididdiga da magudi akan hotuna cikin sauƙi. Misali, sarrafa abin rufe fuska, tace hoto, sauyi na Fourier, da ayyuka masu hikimar ka'ida sune kawai misalan abin da za'a iya cimma tare da taimakon NumPy.

Baya ga NumPy, akwai wasu ɗakunan karatu waɗanda ke taimakawa ayyukan sarrafa hoto kamar OpenCV, scikit-image, da PIL (Laburaren Hoto na Python). Waɗannan ɗakunan karatu suna ba da ayyuka daban-daban don lodawa, gyarawa, da adana hotuna ta nau'i daban-daban.

Ƙarin Ayyukan Mask

Bayan haɗin kai, akwai wasu ayyukan abin rufe fuska da yawa waɗanda galibi ana yin su a cikin sarrafa hoto da ayyukan hangen nesa na kwamfuta. Wasu daga cikinsu sune:

• Kungiyar: Haɗa abin rufe fuska biyu ta hanyar yin aiki mai hikima KO aiki.
• Bambanci: Yana cire abin rufe fuska ɗaya daga wani bisa tushen hikima.
• Ƙara: Yana juya abin rufe fuska ta hanyar canza 1s zuwa 0s kuma akasin haka.

Ana iya aiwatar da waɗannan ayyukan abin rufe fuska cikin sauƙi ta amfani da ayyukan NumPy da dabarun Python, kamar yadda muka sami mahadar abin rufe fuska biyu.