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Where is semantic augmentation by difference in text prompts implemented?
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The img.zip and anno.zip files contain only 71,828 data points. The dataset is stated to have 102,588 entries. Could you please clarify where the remaining 30,760 entries are located?
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I used the local env and docker all showing flowing issue:
Response Content: {"total": 16, "offset": 0, "next": 10, "data": [{"paperId": "575506ce02dff846a9ec66a3c0cf69085228e435", "title": "Text D…
warys updated
2 months ago
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The label augmentation could also have a second text field, to allow to add longer text. Then the display could automatically change to a sort of page layout (like in Nevrolens):
![image](https://u…
fwild updated
7 months ago
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### Description:
Develop a Python package to generate synthetic Tibetan text images using specified fonts (excluding Uchen and Betsuk). Users can select their preferred augmentations from a predefine…
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### 🚀 Torchvision GPU compatible text writing on images
Hi.
Right now, I believe that if you wanna write text on a GPU Tensor, you're gonna have to do it in CPU memory.
This is unfortunate sin…
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https://paperswithcode.com/task/text-augmentation
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No bug, just a report that the use of checkboxes to expand doesn't feel right and had me confused at first. Maybe the expanded details part is needed at all as you've already provided more space for t…
bduza updated
1 month ago
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Hi,
I use Augraphy extensively but I've noticed that:
- the default pipeline can be too destructive on my documents to the point where a human cannot read the text on it (see example below)
- the o…