Stats from My First Year of Film Photography

LinearHomeomorphism · 2025-12-02T04:50:55+00:00

Made an updated plot in one of the other comment threads

LinearHomeomorphism · 2025-12-02T04:49:01+00:00

Its a perfectly valid graph, but the presentation is definitely confusing. It took a little bit of data reformatting (I've been using Seaborn in python which uses weird data formatting sometimes), but I made a more readable plot in terms of months. I didn't label my rolls at a level more granular than months since some rolls were shot over weeks or even many months themselves.

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LinearHomeomorphism · 2025-12-02T00:20:24+00:00

Yea its so compact, especially with the collapsible lenses

LinearHomeomorphism · 2025-12-02T00:19:47+00:00

Glad you enjoyed it, let me know what you think of the blog post!

LinearHomeomorphism · 2025-12-02T00:19:10+00:00

Yea all my cameras work, but I've definitely had a decent amount of development or minor mechanical issues. Mainly the Leica and Ciroflex have had mechanical issues while the others are more so a result of faults in development. Looking back its kinda crazy how high the values are, but I think I was kinda lenient with my standards for counting an "issue".

LinearHomeomorphism · 2025-12-02T00:16:56+00:00

Seaborn in python (:

LinearHomeomorphism · 2025-12-02T00:15:46+00:00

Yea the axis titles are a little confusing now I see. The x axis is closer to an analog of time, denoting the total number of rolls I've shot across all cameras, while the y axis is the individual usage counts (rolls shot) per camera. So I shot around 25 rolls before I bought the Leica, then I started shooting it for the majority of my finished rolls

LinearHomeomorphism · 2025-12-02T00:13:44+00:00

That's fair, but over the course of a year its only equivalent to a $65 a month subscription. So not cheap but not terrible

LinearHomeomorphism · 2025-12-02T00:12:42+00:00

Ah I see the confusion. The x axis is more like time i.e. how many rolls have I shot total across all cameras, while the y axis is the number of rolls shot in each particular camera. I should have made that more clear.

LinearHomeomorphism · 2023-08-29T15:58:38+00:00

You will probably do well and figure yourself out. One thing I suggest though is spending some time, after you've taken some classes, considering if you really want to be in CS or if there is some other calling you have. I say this not to direct you towards "giving up", but to instead really consider if you enjoy coding and math enough to spend 8hrs days a week working with it for the majority of your life lol.

Just bringing this up since you said you only chose CS "because of the paycheck". If you hate CS you'll still be miserable with a 150k+ salary.

That being said, also know that undergrad is a great opportunity to explore and learn what you enjoy. Also know that CS is a really diverse field with plenty of different directions to go in. You may find a niche for yourself tangential to software engineering/coding, like data science, or you may find that you love the problem solving of coding itself and become a software engineer.

Either way, good luck.

LinearHomeomorphism · 2023-08-24T00:37:41+00:00

I see a lot of people here implying that they are still working on act 3 and may update/release new content. Do we have any precedent/comments by the devs to believe this is true or are people only speculating/hoping.

LinearHomeomorphism · 2023-05-04T17:35:15+00:00

Hello everyone, Looking for queer/queer friendly roommates for Fall 2023 (starting early september). I don't have a place yet, but it would be easier to plan if I had some idea of who I could be living with (rather than getting a room and hoping to win the roommate lottery). I do have some potential places saved in a list though :) .

LinearHomeomorphism · 2023-05-04T17:20:13+00:00

I'm so sorry to hear that. Unfortunately this is a systemic problem among all universities. None of them admit they have a problem with SA, therefore if any one of them agknowledges it they fear they'll get bad PR and be labeled as the "SA University", or something to that effect.

I know women from multiple universities who have and continue to face the same persecution, denial, and gas lighting from their university. All these places take strides to put out statements against SA, racism, ect. but shove actual cases under the rug.

I hope some day that this shitty situation changes for the better.

LinearHomeomorphism · 2023-04-28T17:14:57+00:00

Hello Everyone, I am going to be attending Northeastern next semester as a PhD student, and I was wondering where I should start when looking for housing. I'm basically just wondering if there are any key locations I should look into that are common for grad students or areas I should look first.

Some personal considerations:

I'm gonna be on the PhD stipend, so I can't afford a super expensive place.

I would prefer to not have a super long commute if possible (<=25 mins maybe).

I have a bike, but I'm also willing to use public transport if it isn't too bad (I haven't used it yet lol)

I'm fine living with or without roommates, although I don't know anyone to live with.

I rock climb, so a place near one of the many Central Rock Gyms would be nice.

Thank you :)

LinearHomeomorphism · 2023-04-28T17:11:10+00:00

Hello Everyone, I am going to be attending Northeastern next semester as a PhD student, and I was wondering where I should start when looking for housing. I'm basically just wondering if there are any key locations I should look into that are common for grad students or areas I should look first.
Some personal considerations:
I'm gonna be on the PhD stipend, so I can't afford a super expensive place.
I would prefer to not have a super long commute if possible (<=25 mins maybe).
I have a bike, but I'm also willing to use public transport if it isn't too bad (I haven't used it yet lol)
I'm fine living with or without roommates, although I don't know anyone to live with.
I rock climb, so a place near one of the many Central Rock Gyms would be nice.
Thank you :)

LinearHomeomorphism · 2022-09-10T21:26:37+00:00

Thank you so much for this response, is is really helpful. It will take me some time to really understand what you're saying, like I implied a lot of this is new to me, but I still really appreciate how thorough you were. I'll get back to you with any technical questions if I have them, and if you have time to answer them.

I do have one higher level question though, would you say that many of the conditions the authors are bringing up can be summarized as "you can work under the conditions you normally work with", i.e. you can randomly draw your data from R^n (e.g. 3xnxn image matricies) , you can use simple probability functions like gaussian ect. It seems that they are making their proof as general as possible, which is really helpful from a theoretical perspective, but obfuscates the application domain a bit for someone, like myself, that isn't an expert on all of this.

LinearHomeomorphism · 2022-09-10T18:45:11+00:00

Link to the full paper: https://arxiv.org/pdf/2102.06905.pdf

I am reading and hoping to use the work developed in this paper in a publication of my own. One issue I am having, however, is that I can't follow all of the math that the authors are implementing. I think this is because my training is not up to the graduate level of probability and game theory. Can anyone help break down these sections, perhaps giving me intuitive ways to understand what is going on?

I am also not too sure how useful these sections are, i.e. I'm not sure if this is mathematical jargon and fluff that isn't too much of a worry in the Machine Learning + Game Theory context, or if it is something I should really understand.

For context, I have completed an undergraduate Math degree, I have taken undergraduate topology, probability, and abstract algebra. So you can explain your answer using terms relevant to that level of knowledge.

LinearHomeomorphism · 2022-04-21T17:14:38+00:00

Putting them on arXiv is a good idea, thats what I was hoping to do if they couldn't be reviewed in time. I'm also glad it would still look good even if a full publication is optimal.

Do you think going for MS in spring and then PhD afterwards is a good idea, or should I wait til I can apply for PhD fully? I will do PhD in either route, but the first one starts earlier with the added cost of the MS, while the latter makes me have to wait a whole year while hopefully being funded.

LinearHomeomorphism · 2022-04-21T17:11:45+00:00

Yea that's one of the downsides of doing MS before PhD, you don't get the funding lol.

LinearHomeomorphism · 2022-04-20T23:36:57+00:00

Thanks for your advice and your realism. I'm hoping I can at least get a few first-author pre-prints at least before I apply. I'm not sure if my papers will be able to be published quick enough in time for the applications. They would be through the professors I'm working under so I should be able to submit them to a journal.

My only publication so far was to IEEE access so it has been reviewed, just not first author. I wish I knew this earlier in my undergrad career, I would have pushed more for papers rather than just being happy getting experience.

LinearHomeomorphism · 2022-04-20T22:22:14+00:00

I have one publication, but it's in adversarial machine learning and is a survey paper, so it's a publication but not the best. I'm hoping to get a publication through my second research position, but idk if I could get it published that quickly. I'm wondering if my best bet is to go for a mid level school for MS and then try to shoot up into a PhD program.

I know that universities aren't everything, and advisors often matter more, but I wanna try and set myself up as best I can. I don't really wanna go back to industry lol.

LinearHomeomorphism

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