img-txt_viewer
Display an image and text file side-by-side for easy manual caption editing. (by Nenotriple)
meshed-memory-transformer
Meshed-Memory Transformer for Image Captioning. CVPR 2020 (by aimagelab)
img-txt_viewer | meshed-memory-transformer | |
---|---|---|
4 | 2 | |
33 | 497 | |
- | 0.0% | |
9.3 | 0.0 | |
3 days ago | over 1 year ago | |
Python | Python | |
Creative Commons Zero v1.0 Universal | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
img-txt_viewer
Posts with mentions or reviews of img-txt_viewer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-01.
-
Useful utilities that will help when trying to make stuff
I've included a portable exe file in the release section that should fix that that sort of issue. Direct link
- A tool for viewing image/text pairs, making training data easier to edit
meshed-memory-transformer
Posts with mentions or reviews of meshed-memory-transformer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-03.
- [D] Data transfer(image features) between different models in separate docker containers
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[R] end-to-end image captioning
I could use some up-to-date models (e.g, this one: https://github.com/aimagelab/meshed-memory-transformer), but all those I looked into require pre-processing step of features/bounding-boxes generation. The problem is that I can't use an off-the shelf bounding-box extraction model as it would not perform well on the dataset I have (images are not like COCO at all). So I was wondering if there is a relatively up-to-date architecture that I can use that will not require this processing step. That is, an implementation that requires only inputs (images) and outputs (sentences).
What are some alternatives?
When comparing img-txt_viewer and meshed-memory-transformer you can also consider the following projects:
rembg - Rembg is a tool to remove images background
a-PyTorch-Tutorial-to-Image-Captioning - Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
DIS - This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"
stargan-v2 - StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
catr - Image Captioning Using Transformer
py-bottom-up-attention - PyTorch bottom-up attention with Detectron2
img-txt_viewer vs rembg
meshed-memory-transformer vs a-PyTorch-Tutorial-to-Image-Captioning
img-txt_viewer vs DIS
meshed-memory-transformer vs clip-glass
meshed-memory-transformer vs stargan-v2
meshed-memory-transformer vs BLIP
meshed-memory-transformer vs catr
meshed-memory-transformer vs py-bottom-up-attention