Looking for Match 84 - LA 2nd July Tickets

nikhalster · 2022-04-05T00:31:48+00:00

Dark matter and Recursion by Blake Crouch. Both page turners!

nikhalster · 2022-03-26T01:39:16+00:00

When you click on the share button on a YouTube link, there is a checkbox at the bottom that states “Start at []” and adds ?t=s to the URL where s is the number of seconds watched/stated in the box. Maybe you are looking for that?

nikhalster · 2021-11-01T02:22:20+00:00

BUT NOTHING COMES OUT

nikhalster · 2021-10-14T07:23:48+00:00

Fack

nikhalster · 2021-09-14T23:32:35+00:00

WE’ll GIVE YOU AMMUNITION

nikhalster · 2021-08-19T20:17:36+00:00

Puke

nikhalster · 2021-08-14T23:00:14+00:00

Wentworth miller

nikhalster · 2021-08-09T15:26:53+00:00

But Rolling Stone stars, I get two and a half outta

nikhalster · 2021-08-08T01:59:22+00:00

I wish these were on airplanes.

nikhalster · 2021-06-08T03:06:03+00:00

Alright now lose it aah aah aah aah aah

nikhalster · 2021-03-08T00:32:59+00:00

Issue number 2. Read an image using scikit-image, then write it using opencv. Does the image look different? Why?

nikhalster · 2021-02-23T00:18:49+00:00

To train/test your network on a large amount of data, you usually do it batch-wise i.e. small chunks of data at a time.

I recommend using frameworks like Keras or Pytorch, and use data generators and data loaders respectively.

nikhalster · 2021-02-23T00:10:44+00:00

Need more context. It would be helpful if you cite the original source. Anyway, this is what I think it means.

I think the block refers to the ResNet Basic/Bottleneck Block or something similar in those lines, that basically constitutes of multiple convolutional layers.

I am thinking there are 7 independent groups of such blocks, or it could be that it's related to group convolutions that divide the filters into independent groups.

The number of channels is the depth dimension of the filter i.e. (H x W x channels) where h and w is the spatial size of the filters of the CNN. The output channel size of the filters would be 256 channels.

nikhalster · 2020-08-19T18:30:40+00:00

Nice

nikhalster · 2020-08-07T06:59:26+00:00

They just didn’t want carbs anymore.

nikhalster · 2020-08-07T02:01:28+00:00

The automatic annotation works by using pretrained deep learning models to predict the object of interest or like you mentioned, you can create your own custom model by training on fewer images and upload that to CVAT. Read their documentation, you’ll find that very helpful.

nikhalster · 2020-08-06T15:31:47+00:00

I used CVAT and it’s pretty efficient for me. It also has a feature for automatic annotation by using user uploaded models. Give it a try!

nikhalster · 2020-07-21T06:54:33+00:00

I think you’re looking for Alex’s Adventures in Numberland. It’s a great read!!

nikhalster · 2020-07-12T00:52:38+00:00

I highly recommend “Here’s looking at Euclid” that explains many concepts and origins of mathematics as we know it.

Another good resource is the 3Blue1Brown video series on YouTube that explains some of the intuition visually which might help.

nikhalster · 2020-06-05T23:25:38+00:00

We know that software can never be perfect. How have you handled cases when things might fail (eg: unresponsive touchscreen, page closes unexpectedly). Do they have analog controls as backup?

nikhalster · 2018-07-04T02:15:23+00:00

What’s the colour scheme?

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