anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Enlarges pictures in the browser with a Gradio app built around the Real-ESRGAN model. Suits anyone who needs a bigger version of a small image without installing software.
Upscale is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download Delanoir/ESRGAN --repo-type space --local-dir ESRGAN cd ESRGAN
This Space is a small Gradio app for enlarging images. Its repository is named ESRGAN, and the page names the Real-ESRGAN model from ai-forever. You open it in a browser, so there is nothing to install. The source gives no further description.
It suits people with small or low-resolution pictures who want a larger copy, and developers who want to read a short Gradio app around an upscaling model.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Photography | Hobby photographers | Enlarge older, low-resolution photos | Upscale a small scan of a printed picture |
| Online retail | Shop owners | Get larger versions of small product pictures | Enlarge a thumbnail before reusing it |
| Design | Designers | Start a draft from a bigger image | Upscale a low-resolution reference picture |
| Software | Developers | Read a short app that wraps an upscaling model | Open app.py and follow it |
Skip it if you need batch processing or fine control, since the source describes only a small app.
| Use case | Who | What they get back |
|---|---|---|
| Enlarging a picture | Anyone with a small image | A larger version of the same picture |
| Reading the code | Developers | A short Gradio app with three files |
| Running locally | Learners | A copy of the app on your own computer |
The online copy needs nothing. For a copy on your own computer, you need the following.
pip install -U huggingface_hub hf download Delanoir/ESRGAN --repo-type space --local-dir ESRGAN cd ESRGAN pip install gradio==5.23.3 pip install -r requirements.txt python app.py
Online, open the Space's page, give it a picture and run it. On your own computer, start the app with the command below and use the page it launches. The source does not describe the controls, so follow the labels.
python app.py
You upload a small picture and run the upscaler. The Space returns a larger version for you to look at and save. The source gives no figures on the scale or the quality of the result.
If you are new, open the Space online and try one small picture first, since the app runs on shared processor hardware. Compare the result with the original.
If you know the field, this is a thin Gradio wrapper around Real-ESRGAN, with Gradio 5.23.3 on Python 3.11.9 and cpu-basic hardware at Hugging Face. Running on a processor only, large images are likely to be slow.
The source is short, so details on scale factors and limits are not available.
Enlarges pictures in the browser with a Gradio app built around the Real-ESRGAN model. Suits anyone who needs a bigger version of a small image without installing software.
Made by Delanoir on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space is a small Gradio app for enlarging images. Its repository is named ESRGAN, and the page names the Real-ESRGAN model from ai-forever. You open it in a browser, so there is nothing to install. The source gives no further description.
Who it suits: It suits people with small or low-resolution pictures who want a larger copy, and developers who want to read a short Gradio app around an upscaling model.
Industry | Who uses it | How they use it | Example
Photography | Hobby photographers | Enlarge older, low-resolution photos | Upscale a small scan of a printed picture
Online retail | Shop owners | Get larger versions of small product pictures | Enlarge a thumbnail before reusing it
Design | Designers | Start a draft from a bigger image | Upscale a low-resolution reference picture
Software | Developers | Read a short app that wraps an upscaling model | Open app.py and follow it
Skip it if you need batch processing or fine control, since the source describes only a small app.
Where to use it:
Use case | Who | What they get back
Enlarging a picture | Anyone with a small image | A larger version of the same picture
Reading the code | Developers | A short Gradio app with three files
Running locally | Learners | A copy of the app on your own computer
How to set it up: The online copy needs nothing. For a copy on your own computer, you need the following.
pip install -U huggingface_hub
hf download Delanoir/ESRGAN --repo-type space --local-dir ESRGAN
cd ESRGAN
pip install gradio==5.23.3
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space's page, give it a picture and run it. On your own computer, start the app with the command below and use the page it launches. The source does not describe the controls, so follow the labels.
python app.py
Example: You upload a small picture and run the upscaler. The Space returns a larger version for you to look at and save. The source gives no figures on the scale or the quality of the result.
For newcomers and experts: If you are new, open the Space online and try one small picture first, since the app runs on shared processor hardware. Compare the result with the original.
If you know the field, this is a thin Gradio wrapper around Real-ESRGAN, with Gradio 5.23.3 on Python 3.11.9 and cpu-basic hardware at Hugging Face. Running on a processor only, large images are likely to be slow.
You open the Space or run app.py
You give it a picture
The Real-ESRGAN model enlarges it
You get the larger picture back
Good to know: The source is short, so details on scale factors and limits are not available.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
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| Diffusers Image OutpaintShares gradio | 2,565 | gradio | apache-2.0 |
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