object Classifier using Deep Learning Tensor flow

 

Hello Everyone in this blog we have to create an object classifier program and use a pre-trained module that helps us to use it that was trained using 1000+ images of real-world just I use this module and use as per need & in this blog we have to use Google Colab that is cloud-based Application used and also support GPU feasility  . so let's start and connect with us   

In This blog, we have three sections in the first section we have to import all the needed libraries and make them usable in our project, further, we have to fetch all the datasets from pre-trained module and make them usable in our own drive  and finally we implement it as input and get results  

Source Code

#import all desier libraries like tensorflow keras and preprocessing and much more as

#i have mention bellow you can see this

from tensorflow.keras.preprocessing.image import load_img

#to convert image to array form as we know that image are the collection of pixel

#so hear we can convert into arry form

from tensorflow.keras.preprocessing.image import img_to_array

#In this section we import resnet that is pre prianed module contain 1000+ image

#use multi layers. and we import all the required module of resnet50. 

from tensorflow.keras.applications.resnet50 import ResNet50

from tensorflow.keras.preprocessing import image

from tensorflow.keras.applications.resnet50 import preprocess_input

from tensorflow.keras.applications.resnet50 import decode_predictions

#pre tranind module classification hear we prove the input image path like

# i have use banana.jpg image as input and define it target size

 

mymodel=ResNet50()

#load image

myimg=load_img('banana.jpg',target_size=(224,224))

#myimg

myimg=img_to_array(myimg)

#reshap the image

myimg=myimg.reshape((1,224,224,3))

#Preprocess the image

#hear i am usng pre processing technique for output

myimg=preprocess_input(myimg)

#run the model to pridect

myresult=mymodel.predict(myimg)

#decode the image

mylabel=decode_predictions(myresult)

#Display image

mylabel=mylabel[0][0]

#print imagelabel

print('this is a:'+mylabel[1])

The end

hope you all are enjoying this blog further source file click on the given bellow link

Link:- https://colab.research.google.com/drive/1Ah-MkQfruDk2ihcRoOvLk_xhNQTAPwK1?usp=sharing