Mokhoa oa ho Etsa Khamera ea AI ho Smartphone ea Hao
Tsoelo-pele ea theknoloji ha e felle feela linthong tse ncha tsa hardware empa e boetse e kenyelletsa nts'etsopele ea software e rarahaneng haholoanyane, mohlala o mong e le ts'ebeliso ea Bohlale ba Maiketsetso (AI) ho lik'hamera tsa li-smartphone. Theknoloji ena e fetola tsela eo re nkang le ho hlophisa linepe ka eona. Lik'hamera tse tsamaisoang ke AI ha li thuse feela ho hlahisa litšoantšo tse ntle empa hape li nolofatsa ts'ebetso ea ho nka lifoto ka likarolo tsa othomathike. Sengoloa sena se tla hlahloba ka botebo mokhoa oa ho theha khamera e tsamaisoang ke AI ho smartphone, ho tloha selelekeleng ho ea khopolong ho ea ts'ebetsong ea eona.
Ho Tsebahatsa Khamera ka AI
Lik'hamera tsa li-smartphone tse sebelisang AI li sebelisa theknoloji ea bohlale ba maiketsetso ho sekaseka, ho ntlafatsa le ho ntlafatsa boleng ba setšoantšo ka bohona. Likarolo tse ling tse tloaelehileng tsa AI lik'hamera tsa li-smartphone li kenyelletsa:
1. Ho Tseba Ntho le Sebaka: AI e ka lemoha ntho kapa sebaka se nkiloeng mme ya fetola di-setting tsa khamera ka bohona.
2. Mokhoa oa ho sheba setšoantšo: E fifatsa bokamorao ka bohona ho etsa hore sehlooho se seholo se hlahelle haholoanyane.
3. Ntlafatso ea Mabone: E fetola mabone le khanya ka bo eona bakeng sa liphetho tse ntle ka ho fetisisa.
4. Ntlafatso ea Boleng ba Setšoantšo: E tlosa lerata, e ntlafatsa 'mala, 'me e ntlafatsa litšoantšo.
Lisebelisoa le Theknoloji lia Hlokahala
Ho ntshetsa pele khamera e nang le bohlale ba maiketsetso (AI) ho smartphone, ho na le disebediswa le mahlale a mmalwa a hlokang ho lokiswa:
1. Moralo oa Nts'etsopele ea AI: Mohlala, TensorFlow, PyTorch, kapa OpenCV tse sebelisetsoang ho haha mehlala ea AI.
2. Sete ea Lintlha tsa Setšoantšo: Pokello ea lintlha tsa setšoantšo tse sebelisetsoang ho koetlisa mehlala ea AI.
3. Thuto ea Sesebelisoa: Li-smartphone tse nang le bokhoni ba ho ithuta ka mochini, joalo ka Google Pixel kapa iPhone tse nang le chipset e nang le AI.
4. IDE (Tikoloho e Kopantsweng ya Nts'etsopele): Disebediswa tse kang Android Studio kapa Xcode bakeng sa ho ntshetsa pele dikopo.
5. Khamera API: Android Camera2 API kapa Apple AVFoundation ho fihlella mesebetsi ea khamera ho li-smartphone.
Mehato ea ho Theha Khamera ka AI
1. Tokisetso ea Tikoloho ea Ntshetsopele
Mohato oa pele oa ho aha khamera e nang le AI ke ho lokisa tikoloho ea nts'etsopele. Ho kenya IDE joalo ka Android Studio bakeng sa nts'etsopele ea lisebelisoa tsa Android kapa Xcode bakeng sa iOS hoa bohlokoa. Hape, etsa bonnete ba hore li-SDK le lilaebrari tsohle tse hlokahalang li kentsoe.
2. Ho Bokella le ho Lokisa Disete tsa Dintlha
Disete tsa data ke karolo ea bohlokoa ho nts'etsapele mehlala ea AI. Re hloka lisete tsa data tsa litšoantšo tse kholo le tse fapaneng ho koetlisa mehlala ea AI. Lisete tsena tsa data li ka fumanoa mehloling ea inthanete joalo ka ImageNet kapa tsa bokelloa ka boikemelo. Hang ha sete ea data e bokelletsoe, ho sebetsoa esale pele joalo ka ho fetola boholo ba setšoantšo, ho se feto-fetohe, le ho eketsa data, haeba ho hlokahala, hoa etsoa.
3. Ho theha le ho koetlisa mehlala ea AI
Ha dataset e se e loketse, mohato o latelang ke ho theha le ho koetlisa mohlala oa AI. Mohlala, ho sebelisa moralo oa TensorFlow o nang le moralo oa mohlala oa Convolutional Neural Network (CNN) o loketseng ts'ebetso ea litšoantšo. Mokhahlelo ona o kenyelletsa tlhaloso ea mohlala, pokello, le mekhoa ea ho kenya tšebetsong ts'ebetso ea koetliso.
"'python
import tensorflow joalo ka tf
ho tloha tensorflow.keras.models import Sequential
ho tsoa ho tensorflow.keras.layers e kenya Conv2D, MaxPooling2D, Flatten, Dense
Tlhaloso ea mohlala oa CNN
mohlala = Sequential()
model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(image_height, image_width, 3)))
model.add(MaxPooling2D(2, 2)))
model.add(Conv2D(64, (3, 3), activation='relu'))
model.add(MaxPooling2D(2, 2)))
mohlala.eketsa(Flatten())
model.eketsa(E teteaneng(128, activation='relu'))
model.add(Tense(num_classes, activation='softmax'))
Kopanya mohlala
model.compile(optimizer='adam', tahlehelo='categorical_crossentropy', metrics=['a nepahetseng'])
Koetliso ea mohlala
model.fit(data_ya_thupelo, dilabel_tsa_thupelo, di-epoch=10, data_ya_validation=(data_ya_validation, dilabel_tsa_validation))
``
4. Mohlala oa ho Romela ho Smartphone
Hang ha mohlala o se o koetlisitsoe, o hloka ho fetoloa hore e be sebopeho se ka sebelisoang ho smartphone. Bakeng sa Android, TensorFlow Lite e ka sebelisoa, athe bakeng sa iOS, Core ML e na le thuso haholo.
"'python
import tensorflow joalo ka tf
Fetolela mohlala ho ba mokhoa oa TensorFlow Lite
mofetoleli = tf.lite.TFLiteConverter.from_keras_model(mohlala)
mohlala_oa tflite = converter.convert()
Boloka mohlala faeleng
ka open('model.tflite', 'wb') jwalo ka f:
f.ngola(tflite_model)
``
5. Kopanyo ea Mohlala le Ts'ebeliso ea Khamera
Mohato oa ho qetela ke ho kopanya mohlala oa AI le sesebelisoa sa khamera. Ho Android, sena se kenyelletsa ho sebelisa Camera2 API ho hapa litšoantšo le TensorFlow Lite ho li sebetsana. Ho iOS, e sebelisa AVFoundation le Core ML.
Mohlala oa Kopanyo ho Android:
“`java
kenya android.Manifest;
kenya android.app.Mosebetsi;
kenya android.content.pm.PackageManager;
kenya android.graphics.Bitmap;
kenya android.os.Bundle;
kenya android.view.SurfaceView;
kenya android.view.SurfaceHolder;
kenya android.widget.Toast;
kenya androidx.annotation.NonNull;
kenya androidx.core.app.ActivityCompat;
kenya androidx.core.content.ContextCompat;
kenya com.google.tflite.Interpreter;
Sehlopha sa sechaba sa KhameraActivity e atoloha Mesebetsi e sebediswang SurfaceHolder.Callback {
Ponahalo ea Bokaholimo ba poraefetePonahalo ea bokaholimo;
Setshwari sa bokaholimo sa poraefete;
khamera ea khamera ea poraefete;
Mofetoleli oa poraefete tflite;
@Keitumetse
sekheo se sirelelitsoeng onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_camera);
// Kopa Tumello ea Khamera
haeba (ContextCompat.checkSelfPermission(this, Manifest.permission.CAMERA)
!= PackageManager.PERMISSION_GRANTED) {
ActivityCompat.requestPermissions(sena, String e ncha[]{Manifest.permission.CAMERA}, 100);
}
// Qala Pono ea Sebaka
Pono ya bokaholimo = fumanaPono ya Bokaholimo(R.id.Pono ya bokaholimo);
Motshwari wa bokaholimo = surfaceView.getHolder();
surfaceHolder.addCallback(sena);
// Kenya mohlala oa TFLite
leka {
tflite = Mofetoleli e mocha (loadModelFile ("model.tflite"));
} tšoasa (IOException e) {
e.printStackTrace();
}
}
@Keitumetse
Sebaka se se nang letho sa sechaba se entsoeng (Mong'a Sebaka se Tšoaretsoeng) {
khamera = Khamera.bula();
khamera.setPreviewDisplay(setshwari);
khamera.qalaPreview();
}
@Keitumetse
bokaholimo ba sekheo sa sechaba bo Fetohile (Setshwari sa Sebaka sa ho Sebetsa, sebopeho sa int, bophara ba int, bophahamo ba int) {}
@Keitumetse
Sebaka se se nang letho sa sechaba se senyehileng (Setshwari sa Sebaka) {
khamera.stopPreview();
khamera.tokollo();
}
Setšoantšo sa mokhoa oa poraefete oa ho se be le letho (Bitmap bitmap) {
// Lokisa le ho fihlela qeto mona
}
@Keitumetse
sekheo sa phatlalatsa sa onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {
haeba (kopoKhoutu == 100) {
haeba (grantResults.length > 0 && grantResults[0] == PackageManager.PERMISSION_GRANTED) {
surfaceHolder.addCallback(sena);
} hape {
Toast.makeText(sena, “Tumello ea khamera e hanetsoe”, Toast.LENGTH_SHORT).show();
}
}
}
}
``
Qetello
Ho aha khamera e nang le AI ho smartphone ha se feela taba ea ho nts'etsapele mohlala o rarahaneng oa AI empa hape le taba ea ho kopanya mohlala oo le lisebelisoa le software ea smartphone e teng. Ka ho utloisisa le ho kenya tšebetsong mehato e kang ho lokisa tikoloho ea nts'etsopele, ho bokella li-dataset, ho koetlisa mohlala oa AI, ho kenya mohlala ho smartphone, le ho kopanya mohlala le sesebelisoa sa khamera, re ka theha eseng feela khamera e bohlale empa hape le e khonang ho fana ka liphetho tse ntle ka boiketsetso tse ruisang basebelisi molemo haholo.
Theknoloji ena ha e nolofatse feela basebelisi ba tloaelehileng empa hape e bulela bahlahisi ba mananeo le baetsi ba litšoantšo ba litsebi menyetla ea ho hlahloba boqapi ba bona ka tsela e rarahaneng le e sebetsang hantle.
