faustomorales

7 ms·

1.
by faustomorales 3y ago
I think the “interests” that might “conflict” are “business” vs. “public policy.” For example, a criticism an opponent of Al Gore might make is something like, “Would you still be an advocate for climate policy X if you didn’t stand to gain
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by faustomorales 4y ago
Right you are, yes, it was that same message. I suppose what I meant to convey is, "despite the thoughtful safeguards built into Slack, I still managed to screw this up." :) I really appreciate Slack and it is my preferred workpla
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by faustomorales 4y ago
Seems like an innocent enough mistake. Remind me of when I once helped organize a volunteer hackathon with people from different companies. We created a Slack organization just for the occasion. At the end of the event, I was supposed to as
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Show HN: Label images and videos from Jupyter notebooks(qsl.robinbay.com)
1 points by faustomorales 4y ago|0 comments
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by faustomorales 5y ago
Hi HN! I frequently find myself needing to label small batches of images with class labels as well as bounding boxes and masks. Last year, I developed a Python library to do that sort of thing relatively quickly using a command line applica
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Show HN: Label image classes, bounding boxes, and masks from Jupyter(colab.research.google.com)
3 points by faustomorales 5y ago|1 comments
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by faustomorales 5y ago
Hi HN! I created remstat (short for: remote status) because I found myself wanting a simple way to monitor long-running tasks like training a deep learning model, downloading and processing a bunch of images, etc. I was tired of running ove
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Show HN: Remstat builds simple dashboards for long computing tasks(remstat.us)
1 points by faustomorales 5y ago|1 comments
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Show HN: QSL – A quick, simple, and flexible image labeling tool(pypi.org)
5 points by faustomorales 5y ago|1 comments
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by faustomorales 5y ago
I developed QSL because I found myself appreciating existing labeling tools (e.g., VGG Image Annotator, labelImg, VoTT) while also wanting additional features (e.g., remote file labeling, batching, keyboard shortcuts) that didn't all f
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by faustomorales 6y ago
If you are (a) willing to take the word bounding boxes and convert them to paragraphs yourself, and (b) okay with a deep learning approach, you may want to give keras-ocr [0] a try. Full disclosure: I'm the primary package developer. S
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by faustomorales 7y ago
Tesseract is a great solution for scanning books -- but agree that it doesn't work very well for most other use cases, especially when compared to cloud providers. FWIW, I have started trying to compare keras-ocr against the cloud opti
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by faustomorales 7y ago
Hi HN! I made this because I wanted a toolkit for training custom OCR models that included both text detection and recognition along with the necessary tools to create synthetic data. Existing synthetic data generators had more dependencies
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Show HN: Keras-OCR is an end-to-end, trainable OCR pipeline(github.com)
11 points by faustomorales 7y ago|3 comments
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by faustomorales 7y ago
Interesting that you mention ExxonMobil. ExxonMobil does, in fact, cite "technological advances in energy storage that make wind and solar more competitive for power generation or increased consumer demand for alternative fueled or ele
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by faustomorales 7y ago
Perceptual hashes in this family will probably not be the right fit for that use case. There is work out there to build hashes that are intended to find find semantically similar content, typically using CNNs. Imagededup [1] seems to have o
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by faustomorales 7y ago
Hi there! Our example on deduplication [1] takes the case of deduplicating of the Caltech256 [2] dataset for the purpose I think you're describing, which I interpreted as avoiding duplicates in a dataset so that you don't have ima
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by faustomorales 7y ago
Great question — organizations decide how to handle reviews internally. So the answer to your question on “review all” versus “automatically submit” is a, perhaps unsatisfying, but honest: it depends. We provide a guide [1] to help organiza
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by faustomorales 7y ago
Thank you so much for asking! Naturally, part of why we wanted to share this with the broader community was to make it so interested people can jump in and help out in the open. And I would be remiss if I didn’t mention the fact that we’re
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by faustomorales 7y ago
Thanks, old friend! Hope you decide to give the package a peek and maybe lend us some of your Python chops. :)
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by faustomorales 7y ago
Great question -- all of the hashes we included in the package have been public for years (except for PDQ, which was open-sourced this year). So this package doesn't reveal anything new with respect to the algorithms themselves. What w
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by faustomorales 7y ago
Cool (re: writing a PHP version)! Generally speaking, hashes from different hash algorithms cannot be used with each other. By the way, would be glad to connect and chat, especially if you have any thoughts on pain points associated with pe
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by faustomorales 7y ago
Great question! PhotoDNA is the most well-known and supported hash function for this use case. And we do support hashing and matching with PhotoDNA in the Safer product. However, the PhotoDNA hash function is non-public so we cannot include
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by faustomorales 7y ago
To build a classifier, yes, you are correct. But this isn’t a classifier to identify new content that has never been seen. This uses perceptual hashes to help organizations detect if known CSAM is being shared on their platform.
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by faustomorales 7y ago
Thanks for asking these important questions! * What are the challenges surrounding verification that your system functions properly, given that the test material is illicit? You're right that storing child sexual abuse material (CSAM)
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by faustomorales 7y ago
Hi HN! I'm a data scientist at Thorn, a non-profit dedicated to defending children from sexual abuse. We're excited to open source some elements of our perceptual hashing tooling as a Python package. We've tried to make it ve
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Show HN: Perceptual hashing tools for detecting child sexual abuse material(github.com)
92 points by faustomorales 7y ago|49 comments