💐 Очень красивые фэнтезийные карты-иллюстрации из портфолио художницы Francesca Baerald
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Channel
@cartography_potato
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
248subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002289304680 |
|---|---|
| Type | Channel |
| Username | @cartography_potato |
| Description | веду канал: @tabbt |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/cartography_potato |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 02:30 | 248 | no change |
| 6 Aug 2026, 22:16 | 248 | first reading |
10 posts held, back to 21 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 10 (21 June 2026 – 4 August 2026) |
| Views total | 704 |
| Reactions total | 63 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 02:30 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
195 reactions across 10 posts, in 14 distinct kinds. The most used accounts for 33.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 66 | 33.8% | |
| 🔥 | 63 | 32.3% | |
| 🍾 | 19 | 9.74% | |
| ⚡ | 8 | 4.10% | |
| 🤝 | 8 | 4.10% | |
| custom 5334553676046435416 | 6 | 3.08% | |
| 🐳 | 5 | 2.56% | |
| ❤🔥 | 4 | 2.05% | |
| 🏆 | 4 | 2.05% | |
| 😎 | 4 | 2.05% | |
| 👀 | 3 | 1.54% | |
| 💅 | 2 | 1.03% | |
| 🤓 | 2 | 1.03% | |
| 🎉 | 1 | 0.513% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 10 of the 10 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 195reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 21 June 2026 to 4 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
💐 Очень красивые фэнтезийные карты-иллюстрации из портфолио художницы Francesca Baerald
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Пошел копать чуть дальше и нашел модельку 2026 года — VGGT Omega. Для сложных форм работает заметно лучше Dust3r 🌟, в остальных моментах просто немного обходит предшественников Вот демка, выдает качественные точки по фото или видео. Главное, что тут можно загрузить побольше исходников 💻. Кроме демки есть закрытые веса модели, у меня получить доступ не получилось( Закинул в неё все фотки дома творчества в Переделкин…
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И еще две локации посложнее. Первая получилась рваная, потому что все фотки не влезли в память. 🟠 Можно попробовать угадать место (в Москве) Вторая — спот серф кофе 👟, собранный из 10 фоток с яндекс карт. Сразу видно, какие углы были хорошо отфотканы, а какие достроены
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⏺️Но вообще главный вопрос, который интересовал: можно ли заменить сканирование лидаром города на извлечение облака точек из фото? Понятно, что с качеством лидара тяжело сравняться, но получается хотя бы что-то приближающееся к нему. Если нужно добавить больше деталей — достаточно просто отфоткать объект с нескольких сторон 📸 Сразу есть проблемы для доработки: 🟡 на масштабе города для детализации нужно много пикч.…
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⏺️ В восторге от того, как Dust3r превращает фотки с рандомных ракурсов в очень неплохие облака точек Почему-то раньше не пробовал его запустить, хотя копал эту тему. Пробовал сканировать помещения через Polycam и Scaniverse, но там другая технология и качество не очень нравилось А тут можно буквально пару пикч с телефона закинуть, моделька сама разберется с какого ракурса что было снято и соберет всё в одно облако…
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🗺️ В довесок к Кёнигсбергу — Кранц и Раушен (Зеленоградск и Светлогорск) Тоже очень приятные и цвета, и стили. Тут к домам и улицам добавляется рельеф, потому что в Светлогорске он точно влияет на перемещения по городу Города почти не пострадали во время Второй Мировой и можно по этим картам искать сохранившиеся исторические виллы 🤝
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🗺️ Еще нашел такие балдежные схемы из 1990 Но, к сожалению, от трамвайной сети сейчас мало осталось (🐱 два работающих маршрута). По всему Калининграду периодически попадаются заброшенные куски рельсов, ведущих в никуда 😜
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🗺️ Карта Кёнигсберга 1890 года Чтобы вдумчиво воспринимать красивые штуки, надо стараться выделять, что именно в них понравилось. Но тут мне нравится вообще всё, крутая карта 🐱. И вроде как функциональная, указатель по квадратам реально работает. Немного даже необычно, что переходишь не от поиска по карте к текстовой информации, а наоборот 👀 ✅Кроме красивого цвета, есть здания со сплошной заливкой и с обводкой — мо…
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Закончившееся обучение отрефлексировать пока не получилось, разве что времени стало сильно больше 🫥. Но надо попробовать не обесценивать всё как обычно, а найти приятные эмоции На первых курсах бака, когда ходить в универ еще было весело, начал фоткать на пленку 🙌. Мне кажется пленочные цвета хорошо передают атмосферу старых корпусов upd: 🐱 Лиза 🐱 тоже выложила свою пленку! Смешно ходили по коридорам и фоткали дру…
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Долго не постил, потому что делал диплом... Сил придумывать что-то еще кроме работы и учебы не было 😐. Но зато после душного академического стиля хочется упростить подачу инфы тут и вообще больше делиться штуками из жизни (надеюсь это зачтется в визибилити) 🐱 Накопилось много всякого, сменил основной источник интересностей с arxiv на рилсы 🤪, купил подписку на клод Еще вот отпуск на недельку, так что возможно буду…
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Showing the 10 most recent of 10 posts we hold for @cartography_potato. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 48,230 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 August 2026 — this entry's latest reading, not the date you are reading this.
“cartofan” (@cartography_potato), 248 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/cartography_potato.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.