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# OCR For Devanagari Handwritten Character: Segmentation, Localization using NumPy - Quassarian Viper
A localization, segmentation and the first version of OCR using NumPy. This is a part 2 of a blo…
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I am trying to finetune dinov2 for image classification on a custom dataset (medical image dataset) with the objective of increasing accuracy. The problem is that when I use linear evaluation I get an…
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use some sort of time series segmentation net.
some potential useful things:
timeseries + machine learning package https://dmbee.github.io/seglearn/index.html
several img segmentation models …
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Hello @hirokatsukataoka16,
I left this question on #1 , but since that issue is closed I realized you may have missed it. My question is about finetuning -- how did you prepare the PascalVOC and Om…
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When running the code, I found that it doesn't work, likely due to an issue with the PyTorch version. Could you please provide the specific PyTorch version being used, and could you also provide the r…
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@YSaedi, we're updating a CLEWs model of Sri Lanka using this workflow for the crop data. From FAOSTAT, the 10 main crops are:
`Rice; Coconuts, in shell; Tea leaves; Natural rubber in primary forms; …
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Hi! I build the pipeline to train multilabel video classification model:
```
class VideoPreprocessingPipeline(Pipeline):
READER_NAME = 'VideoReaderResize'
def __init__(
self,
…
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### Semantic Segmentation
- No objects, just pixels
- Input: Image
- Output: the …
hon9g updated
5 years ago
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Hi there,
I'm just spinning up a new project using this boilerplate, which is really great so far, and I have two questions. I've dug through the documentation and the source code but haven't found…
freen updated
7 years ago
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hi,
according to the paper,the input of the model is a 16-frames clip，but most video is much longer than 16 frames.Do you use the 16-frame clip presenting the whole video clip to train the model?