avilash / pytorch-siamese-triplet Goto Github PK

Do you have any code like mnist.getTriplet for custom data?
Thanks!

the current codebase does not have tensorboard functionalities. it would be great to add that

Hi,

How can I perform inference from the model on an image or a video? Thanks

I've been browsing the code, and it seems that you use opencv.imread() to read the images, which produces BGR output. But you still use the normalisation parameters for rgb: mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]. You can change BGR to RGB using the following: cv2.cvtColor(img, cv2.COLOR_BGR2RGB). Thanks for your work!

In PyTorch's examples, they read with PIL, which reads in RGB by default, but they use the same constants.
Reference: https://pytorch.org/hub/pytorch_vision_alexnet/

I want to make tsne dataset for a custom dataset

Hi,your work is helpful to me.
I have a question about how to do inference on an image?I couldn't find the relevant code.The tsne.py couldn't load the ckpt.