cobanov

## Find all hidden files in /tmp/data/ (and it's sub-dirs) and delete it ##
find /tmp/data/ -type f -name ".*" -delete

cobanov

FROM nvidia/cuda:11.3.0-runtime-ubuntu20.04

WORKDIR /nerfov
RUN rm /bin/sh && ln -s /bin/bash /bin/sh
RUN apt-get update && apt-get -y install \
    build-essential libpcre3 libpcre3-dev zlib1g zlib1g-dev libssl-dev wget git libgl1

# Install miniconda
ENV CONDA_DIR /opt/conda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \

cobanov

from geopy.geocoders import Nominatim
from tqdm import tqdm
from geopy.extra.rate_limiter import RateLimiter

geolocator = Nominatim(user_agent="cobanov")
geocode = RateLimiter(geolocator.geocode, min_delay_seconds=1)

tqdm.pandas()
df['gcode'] = df['full_adress'].progress_apply(geocode)
df['point'] = df['gcode'].apply(lambda loc: tuple(loc.point) if loc else None)

cobanov

import numpy as np
import matplotlib.pyplot as plt

# Data
x = np.random.randn(20)
y = 3 * x + 0.2 + np.random.randn(20) * 0.3

# Subplot
fig, axs = plt.subplots(1, 2, figsize=(10, 4))
fig.suptitle("Comparison")

cobanov

from cuml.decomposition import PCA
import pandas as pd
import numpy as np
import cupy
import os


# GPU_ID = 1
# cupy.cuda.Device(GPU_ID).use()
INPUT_PATH = "/mnt/datauniverse/../.."

cobanov

from cuml.manifold.umap import UMAP
from datetime import datetime
import pandas as pd
import numpy as np
import json
import cupy
import os
import pandas as pd
import utils

cobanov

import timm
import torch
import shutil
import itertools
import torchvision
import numpy as np
from PIL import Image
from tqdm import tqdm
from pathlib import Path
from torchvision import transforms

cobanov

from rich.console import Console
from rich.markdown import Markdown
import glob
import os


def read_md(path):
    with open(path, "r") as file:
        content = file.read()
    return Markdown(content)

cobanov

from atprototools import Session
from tqdm import tqdm

USERNAME = "<username>.bsky.social"
PASSWORD = "<password>"
SKOOTS_TO_DELETE = 63

session = Session(USERNAME, PASSWORD)
DID_KEY = session.DID.split(":")[-1]

cobanov

import glob
import os
import random
import itertools
import shutil
from pathlib import Path


def scan_folders(sort_images=True):
    # Scan folder