a-PyTorch-Tutorial-to-Image-Captioning
blip
| a-PyTorch-Tutorial-to-Image-Captioning | blip | |
|---|---|---|
| 1 | 9 | |
| 2,657 | 1,601 | |
| - | - | |
| 0.0 | 7.5 | |
| almost 2 years ago | 4 months ago | |
| Python | JavaScript | |
| MIT License | Apache License 2.0 |
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a-PyTorch-Tutorial-to-Image-Captioning
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[R] end-to-end image captioning
I have found this repository: https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning that, seemingly, requires only images and captions, but this is quite old (3 years ago), and is based on LSTMs. I was hoping there are transformers-based implementations that I could use.
blip
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Speed Test
Seems like a great alternative to blip.
https://github.com/apenwarr/blip
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I need a simple way to measure internet interruptions/downtime
This is a tool you can use to track downtime, but the free license only allows you to use it for up to one hour at a time (after which you have to re-open the program). Chrome has an extension to monitor uptime as well. Alternatively, someone made this: https://github.com/apenwarr/blip
- blip –a tool for seeing your internet latency
- Blip - an interesting tool for networking engineers or anyone wanting a bit of info on their internet performance (companion to mtr?)
- Blip: A tool for seeing your internet latency
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Blip: A tool for seeing your Internet latency
Answering my own questions.
There is a hard-coded list of RFC 1918 addresses that are commonly used as routers that the program tries first to see if they are faster than gstatic.com.
https://github.com/apenwarr/blip/commit/b284f922b047e9032112...
Instead of apenwarr.ca, the code tries a bunch of sites from measurementlab.net:
https://github.com/apenwarr/blip/commit/20f99c1d641e8cc607b6...
The DNS checkbox does the following:
Generate a pseudorandom hostname for each test and looks it -
Show HN: An ultra-light-weight tool to quickly test your ping
I like this one which I think was a Show HN a while ago
https://github.com/apenwarr/blip
What are some alternatives?
meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
virtex - [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
image-to-latex - Convert images of LaTex math equations into LaTex code.
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
ghci-ng
catr - Image Captioning Using Transformer
gcping - The source for the CLI and web app at gcping.com
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"
bash-uptime - Simple BASH script for HTTP and ICMP monitoring