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L-5 | Image Classification Using ResNet-18 and Pytorch 

Code With Aarohi
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29 сен 2024

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Комментарии : 35   
@benoitd94
@benoitd94 10 дней назад
hi good tuto. One question i try to create my own dataset. You don't tell in the video if the label process is required ? with labelimg for example ? thx
@CodeWithAarohi
@CodeWithAarohi 10 дней назад
For Image classification task, You don't need to annotate the images. Just create separate folder for each class and then put related images.
@tilkesh
@tilkesh 2 месяца назад
Thank you very much
@CodeWithAarohi
@CodeWithAarohi 2 месяца назад
You are welcome
@rafeeda3580
@rafeeda3580 8 месяцев назад
Well explained.❤❤❤ Any videos of medical image classification available
@CodeWithAarohi
@CodeWithAarohi 8 месяцев назад
Not yet!
@therock8815
@therock8815 7 месяцев назад
plz provided the updated code of vgg-16/ resnet50 or any that resolved the version error thanks
@navidnazem4494
@navidnazem4494 5 месяцев назад
Shouldn't we redefine FC to 2 classes?
@youtubeaccount8613
@youtubeaccount8613 5 месяцев назад
this is so so so helpful! i have been stuck for weeks and this is amazing!
@CodeWithAarohi
@CodeWithAarohi 5 месяцев назад
Glad it helped!
@karthickkuduva9819
@karthickkuduva9819 3 месяца назад
Mam. Freezing all layers except the final classification layer is called transfer learning. And customized with our own dataset so it's also fine tuned model. The way I understand is correct ?
@CodeWithAarohi
@CodeWithAarohi 3 месяца назад
Yes, your understanding is correct!
@salihamirza456
@salihamirza456 2 месяца назад
hey i have a question that,as we have copied the weights and biases from the loaded model to the new model, then shouldn't we use new_model for performing inference as well?
@CodeWithAarohi
@CodeWithAarohi 2 месяца назад
Yes
@huyngo8567
@huyngo8567 3 месяца назад
Your link is broken
@CodeWithAarohi
@CodeWithAarohi 3 месяца назад
github.com/AarohiSingla/Image-Classification-Using-Pytorch
@ashimasingla103
@ashimasingla103 7 месяцев назад
Perfect content
@abrarislam6509
@abrarislam6509 4 месяца назад
Are you married?
@CodeWithAarohi
@CodeWithAarohi 4 месяца назад
Yes
@AlAmin-xy5ff
@AlAmin-xy5ff 8 месяцев назад
Mam make a video on YOLOv8 model customization or change layer
@CodeWithAarohi
@CodeWithAarohi 8 месяцев назад
I will try
@bilkisuismail6096
@bilkisuismail6096 7 месяцев назад
Thank you ma, but how did you get mean and standard deviation?
@dobijr7900
@dobijr7900 5 месяцев назад
they are gotten from imagenet after working on millions of images
@ABHINAYYADAV-j2h
@ABHINAYYADAV-j2h 8 месяцев назад
it is giving error I am taking 11 classes for this for emoji prediction
@ABHINAYYADAV-j2h
@ABHINAYYADAV-j2h 8 месяцев назад
from PIL import Image from torchvision import transforms # Load and preprocess the unseen image image_path = '/content/test.png' # Replace with the path to your image image = Image.open(image_path) preprocess = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) input_tensor = preprocess(image) input_batch = input_tensor.unsqueeze(0) # Add a batch dimension
@ABHINAYYADAV-j2h
@ABHINAYYADAV-j2h 8 месяцев назад
RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0
@soravsingla8782
@soravsingla8782 8 месяцев назад
What an amazing video
@CodeWithAarohi
@CodeWithAarohi 8 месяцев назад
Glad it is useful!
@НиколайНовичков-е1э
@НиколайНовичков-е1э 8 месяцев назад
Thank you, Aarohi! :)
@CodeWithAarohi
@CodeWithAarohi 8 месяцев назад
Welcome :)
@Sunil-ez1hx
@Sunil-ez1hx 8 месяцев назад
Awesome
@CodeWithAarohi
@CodeWithAarohi 8 месяцев назад
Thanks!
@pifordtechnologiespvtltd5698
@pifordtechnologiespvtltd5698 7 месяцев назад
Nice video
@CodeWithAarohi
@CodeWithAarohi 3 месяца назад
Thanks
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