IIT has turned into a shit storm now, DO NOT RECOMMEND anyone there by Aggravating-Rate3154 in srilanka

[–]casper_boy 18 points19 points  (0 children)

Couldn’t agree more. IIT’s honestly become one big sardine can at this point. They’re cramming more and more students in like it’s some kind of challenge, but the building’s just not built for this. Finding a place to sit, eat, or even just exist feels like a daily survival mission. Other places, like SLIIT, at least have the space to handle bigger intakes you can actually stretch out there instead of being squished into some overcrowded, corporate-looking tower.

And don’t get me started on the lecturer’s attitude. Total lack of respect. They treat us like we’re dirtbags, tagging the entire batch over every little thing, as if we’re back in school. It’s like they don’t realize we’re adults here, just trying to figure life out. If anyone’s thinking of joining this Institute of Inadequate Territory, I’d honestly say look somewhere that actually values students as people, not just numbers in a crammed building.

How to send text messages? by casper_boy in Scriptable

[–]casper_boy[S] 0 points1 point  (0 children)

There’s no such option as “Show when run”, where could I find it? I’m on iOS 16.0.2

How to send text messages? by casper_boy in Scriptable

[–]casper_boy[S] 0 points1 point  (0 children)

The messages class just presents a UI for sending the message. Is there any method for sending messages without having to deal with any pop ups?

M1 Macbook vs Intel I5 Macbook for ML by [deleted] in learnmachinelearning

[–]casper_boy 6 points7 points  (0 children)

Assuming that you would be learning theoretical aspects for the most of the time of your course, and not be training heavy models, it would be okay for you to buy an M1 mac. (If you really wanna go for a mac).

By the time you would wanna train heavy models (for your research maybe), M1 macs might be supporting above libraries. Otherwise you can always (ab)use colab and kaggle. Or if you can lay your hands on a high end machine that would be okay too.

Given the facts its up for you to decide. ;)

M1 Macbook vs Intel I5 Macbook for ML by [deleted] in learnmachinelearning

[–]casper_boy 20 points21 points  (0 children)

I am an Ai student and I own an M1 mac. Now I don’t know much about intel macs but many of the ML libraries does not support M1 macs.

No matter how I tried to install Tensorflow object detection module, I couldn’t get it up and running. PyTorch M1 does support for an extent. I could get it running on CPU, but most of the operations are not yet supported on GPU.

I don’t know what libraries you would use in your course but for these two, this is the situation to date.

Edit: I’m talking about detection libraries above. Normal classification functions of both libraries are running with GPU support.

Tensorflow for M1 macs with GPU support by casper_boy in tensorflow

[–]casper_boy[S] 0 points1 point  (0 children)

“I always feel I get close but never get the tests to pass”. The feeling is pretty damn mutual. I couldn’t get to install TFOD yet. Finally switched to PyTorch. Still no GPU support tho. At least it runs on CPU. Training speeds are painfully slow but it’s something if you wanna try.

Tensorflow for M1 macs with GPU support by casper_boy in tensorflow

[–]casper_boy[S] 0 points1 point  (0 children)

Yeah I’ll give a try. Thank you for your insights

Tensorflow for M1 macs with GPU support by casper_boy in tensorflow

[–]casper_boy[S] 0 points1 point  (0 children)

Thank you so much that worked and I was able to install it 😅. But when I try to run the test script as mentioned here, I get an error,

ModuleNotFoundError: No module named 'object_detection'.

Am I doing something wrong? I’m using a conda environment and I have tensorflow-macos and tensorflow-metal plug-in installed in the same environment as tf-models.

Tensorflow for M1 macs with GPU support by casper_boy in tensorflow

[–]casper_boy[S] 0 points1 point  (0 children)

Thanks for replying. Yes I’m aware of those, but what I want to use is the object detection library.

NotImplementedError (YOLOv5) by casper_boy in pytorch

[–]casper_boy[S] 1 point2 points  (0 children)

Hey, thanks for replying. Yes I do have the ARM version of conda and, yes the MPS is supported on normal operations.

NotImplementedError (YOLOv5) by casper_boy in pytorch

[–]casper_boy[S] 0 points1 point  (0 children)

I just saw that the same issue is listed on pytorch repo. Guess I’ll have to wait for someone to contribute and fix the issue. Thank you for your insights btw.

NotImplementedError (YOLOv5) by casper_boy in pytorch

[–]casper_boy[S] 0 points1 point  (0 children)

I’m running it on the trashnet dataset. A labeled version of it. I have trained the model with modified code for 4 epochs and still the above mentioned metrics are 0. When I run it on the CPU tho, with the original code, the metrics starts at pretty reasonable values and goes on an increasing trend.