My concern is that there is enough documentation on who isn’t calling people, who has no connection to anyone…

If there were racist genocidal people within the system and they were able to recognize each other (via tattoos, memberships) and then assign each other to certain duties, if certain people were put into cargo planes and dumped over the ocean, I’m not sure anyone would know.

It’s very hard for detainees to communicate with anyone in places like that if the detainee doesn’t have money or anyone willing to accept a call. If someone who was a racist genocidal person was put in charge of putting people into groups (based on lawyers, family contact, etc), people who were completely disconnected could be put into a unique group, put in a certain part of a facility, and flown in cargo planes together.

I just don’t know how likely this is. CECOT is a facility that holds people in a way that many international organizations would consider torture. If people were being killed in there, including people deported by the USA, I am very sure people would not know.

If we don’t know where 1200 people who were previously detained have gone as a society, and if there’s no record of where they were sent, it’s hard to fathom the state didn’t kill them, although I don’t know.

I’m very ignorant on all of this. 25% was just a randomly chosen number. But what about 10% or 5%? I just don’t entirely understand the purpose of making immigrants being deported untrackable unless the point is to make it easier to kill them, because if the purpose was just to make it harder to legally contest deportation, the system could just be very slow but have slow tracking built into it… but it doesn’t have that, right? I really don’t know the answers to any of this.

that’s a brutal hack. so they hacked the hosting update server, made it monitor incoming IPs, and then selectively uploaded a compromised backdoor update based on IP only to certain computers so it would go undetected longer?

it’s awful, but technically impressive that someone could remotely hack the server like that and set up such a complex system to target IPs… unless it was a state actor that compelled the server company to provide local access, in which case it’s less impressive.

shoutout to evilsocket! nothing like this ever gets access with opensnitch

I really wish I knew if the study authors were religious.

I have no idea if this is sloppy science with benevolent intentions (everyone makes mistakes) or religious devotion masquerading as science.

She has kids. Maybe she is actually such a good mom she’s trying to hold it together for them. To me, it’s crazy people are judging this woman… She’s the mom who is choosing to keep being happy after something awful happened to her, showing her kids how to keep the faith and keep carrying on. I don’t agree with her policies or religious views, but everyone being judgmental of her is shocking to me.

If she’s actually a Christian and believes in Christianity 100 percent, she would believe her dead husband is now in heaven. Why would she be sad about that if she really believes? She also has kids. Is she supposed to be sad and mope around all the time? Would it be better for her kids if she constantly was crying and not talking to anyone and staying in her room all day? Should she have thrown herself on a pyre after?

It’s fine to be critical of this woman for disagreeing with her political views, but it’s outrageous and gross for criticizing how she responds to her husband’s death. Some people like to put on a happy face in public and we have no idea what she is going through in private.

I don’t understand what venv is or why this would work better. Will this make the compatibility issues go away? I could also just create a virtual Ubuntu environment that’s fresh if that would be easier and try to give that environment access to my GPU but I don’t know if that would work.

because it’s encrypted by https and my VPN has a decent reputation. Yes, it’s possible that the VPN is secretly selling everything they can to big data, but if it were exposed then it would ruin their entire business.

That’s exactly what I am trying to do, I’m just not that sure how to do it. I have the hardware needed, I just need to set up a docker with PyTorch and then find a way to set up Gradio inside that and then add TrOCR from hugging face, and then I’m good. I just am not totally sure how to do that and it seems hard, and when I ask AI for advice, it often is like “just run the following” and it’s wrong, and I’m not skilled enough to know why.

I disagree. I really think you are underestimating how much Americans, especially American men, especial rural men who hunt and don’t like being bossed around by a government that’s far away, want to buy whatever weapons they want without extra regulation.

For many people, they vote just based on the NRA’s selection. If the Democrats became a more pro-gun party, they would gain a substantial amount of power in the US.

I previously tried to commit suicide when I was younger and was involuntarily hospitalized. As a result I’m a prohibited person. I can’t legally buy a firearm. This makes it harder for me to protect myself if things get worse. I don’t know if voting in my liberal community is going to change anything.

I don’t trust big tech to not extract data and metadata and save it. Many companies get served with government requests to save data and keep it secret. Even if handwritingocr.com doesn’t have such an agreement, it could run on AWS and that has an agreement. I would much rather do this locally. Some of the writings are confidential. Handwritingocr.com says data is encrypted in transit and at rest, but it’s not open source and even if it were I can’t verify the server code.

also Tesseract is CPU only, right? It will be so slow.

So try again… in a couple of hours…

Why would that make a difference? It’s a local model right?

I’m pragmatic. If a Tornado is coming towards me, I don’t try to rush into the eye to fight it. I change things I can, flee the things I can’t.

Terminal error after running GPT code:

python3 trocr_pdf.py small.pdf output.txt
Traceback (most recent call last):
  File "/home/user/.local/lib/python3.10/site-packages/transformers/utils/hub.py", line 479, in cached_files
    hf_hub_download(
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1007, in hf_hub_download
    return _hf_hub_download_to_cache_dir(
  File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1124, in _hf_hub_download_to_cache_dir
    os.makedirs(os.path.dirname(blob_path), exist_ok=True)
  File "/usr/lib/python3.10/os.py", line 215, in makedirs
    makedirs(head, exist_ok=exist_ok)
  File "/usr/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)
PermissionError: [Errno 13] Permission denied: '/home/user/.cache/huggingface/hub/models--microsoft--trocr-base-handwritten'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/user/Documents/trocr_pdf.py", line 39, in <module>
    main(pdf_path, out_path)
  File "/home/user/Documents/trocr_pdf.py", line 11, in main
    processor = TrOCRProcessor.from_pretrained(model_name)
  File "/home/user/.local/lib/python3.10/site-packages/transformers/processing_utils.py", line 1394, in from_pretrained
    args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
  File "/home/user/.local/lib/python3.10/site-packages/transformers/processing_utils.py", line 1453, in _get_arguments_from_pretrained
    args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
  File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/image_processing_auto.py", line 489, in from_pretrained
    raise initial_exception
  File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/image_processing_auto.py", line 476, in from_pretrained
    config_dict, _ = ImageProcessingMixin.get_image_processor_dict(
  File "/home/user/.local/lib/python3.10/site-packages/transformers/image_processing_base.py", line 333, in get_image_processor_dict
    resolved_image_processor_files = [
  File "/home/user/.local/lib/python3.10/site-packages/transformers/image_processing_base.py", line 337, in <listcomp>
    resolved_file := cached_file(
  File "/home/user/.local/lib/python3.10/site-packages/transformers/utils/hub.py", line 322, in cached_file
    file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs)
  File "/home/user/.local/lib/python3.10/site-packages/transformers/utils/hub.py", line 524, in cached_files
    raise OSError(
OSError: PermissionError at /home/user/.cache/huggingface/hub/models--microsoft--trocr-base-handwritten when downloading microsoft/trocr-base-handwritten. Check cache directory permissions. Common causes: 1) another user is downloading the same model (please wait); 2) a previous download was canceled and the lock file needs manual removal.

LLMs are so bad at code sometimes. This happens all the time time with LLMs and code for me, the code is unusable and it saves no time because it’s a rabbit hole leading to nowhere.

I also don’t know if this is the right approach to the problem. Any sort of GUI interface would be easier. This is also hundreds of pages of handwritten stuff I want to change to text.

that’s not for TrOCR, it’s just for OCR, which may not work for handwriting

I did try some of the GPT steps:

pip install --upgrade transformers pillow pdf2image

getting some errors:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 3/4 [transformers]  WARNING: The scripts transformers and transformers-cli are installed in '/home/user/.local/bin' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
mistral-common 1.5.2 requires pillow<11.0.0,>=10.3.0, but you have pillow 12.1.0 which is incompatible.
moviepy 2.1.2 requires pillow<11.0,>=9.2.0, but you have pillow 12.1.0 which is incompatible.

this is what GPT said to run, but it makes no sense because I don’t have TrOCR even downloaded or running at all.

Install packages: pip install --upgrade transformers pillow pdf2image
Ensure poppler is installed:

Ubuntu/Debian: sudo apt install -y poppler-utils
macOS: brew install poppler

Execute: python3 trocr_pdf.py input.pdf output.txt

That’s the script to save and run.

#!/usr/bin/env python3
import sys
from pdf2image import convert_from_path
from PIL import Image
import torch
from transformers import TrOCRProcessor, VisionEncoderDecoderModel

def main(pdf_path, out_path="output.txt", dpi=300):
    device = "cuda" if torch.cuda.is_available() else "cpu"
    model_name = "microsoft/trocr-base-handwritten"
    processor = TrOCRProcessor.from_pretrained(model_name)
    model = VisionEncoderDecoderModel.from_pretrained(model_name).to(device)

    pages = convert_from_path(pdf_path, dpi=dpi)
    results = []
    for i, page in enumerate(pages, 1):
        page = page.convert("RGB")
        # downscale if very large to avoid OOM
        max_dim = 1600
        if max(page.width, page.height) > max_dim:
            scale = max_dim / max(page.width, page.height)
            page = page.resize((int(page.width*scale), int(page.height*scale)), Image.Resampling.LANCZOS)

        pixel_values = processor(images=page, return_tensors="pt").pixel_values.to(device)
        generated_ids = model.generate(pixel_values, max_length=512)
        text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
        results.append(f"--- Page {i} ---\n{text.strip()}\n")

    with open(out_path, "w", encoding="utf-8") as f:
        f.write("\n".join(results))
    print(f"Saved OCR text to {out_path}")

if __name__ == "__main__":
    if len(sys.argv) < 2:
        print("Usage: python3 trocr_pdf.py input.pdf [output.txt]")
        sys.exit(1)
    pdf_path = sys.argv[1]
    out_path = sys.argv[2] if len(sys.argv) > 2 else "output.txt"
    main(pdf_path, out_path)

I don’t remember exactly, but I have rocm 7.2 installed, and there was something I was trying to install inside pip for rocm and it just wouldn’t work, it was like 7.2 rocm wasn’t out or the link didn’t work. The LLM tried multiple suggestion and they all failed, then I gave up. When I said “inside” pip, I don’t know if that’s accurate. I am very knew to pip and am decent at linux and only know a small amount of coding and lack python familiarity.

Lots of people laughing in Germany in the 30s at people fleeing weren’t laughing in the 40s.

which community? i did look and didn’t see one.

I am happy to participate. I do not want my IP and ping data sold to data brokers to serve targeted ads, track me, and go to the police surveillance state. I’m sure you are a good citizen who always keeps location on and feels like life would be easier if everyone just complied while you proudly put ring cameras on every door. Not everyone is a tech bro neo-feudalist.