Seth Adams

Why do you feel like you need to reduce dimensions? I would recommend you just use the full 512 vector. I recently trained on the full 3.3 million images from...

I would agree with @ryecomp here. As long as reducing dims doesn't affect performance. @nora-illanes siamese nets can be trained with a triplet loss to reference euclidean distance later or...

That has nothing to do with this repository. However you want to load the model and deploy it is up to you.

Flask. Containerize it with Docker. Deploy with kubernetes.

I might spend a day looking at it. It would just be something that streams audio over a web socket in flask between a server and client. It's not a...

Use the current code in this repository. I haven't supported the original code for over a year.

What do you mean by result is not good? Like it's plotting something, but the output doesn't look correct? Attach an image or something.

I'm assuming you only have one class then. If I just follow along with the code in stream.py... img.shape = (256, 256, 3) ``` tmp = np.expand_dims(img, axis=0) roi_pred =...

Should be np.expand_dims. I edited the original comment.

Has something to do with the image channels. I guess the error is something with an invalid shape going into cvtColor, but idk.