semvec/pypi-packages huggingface dataset:
msir-infer 0.1.0
Inference client for msir inference service
Requires Python: >=3.8.1,<3.9.0

# msir-infer
Inference Server for msir, following InferenceProtocalV2 with additional custom apis designed for images

## usage
### buf curl
```
buf curl --data '{"model_name": "ocr", "image_url": "http://im.png"}' --schema ./msir-infer/proto/apis/inference/v1/infer.proto -v http://localhost:9002/inference.v1.ImageInferenceService/InferImage
```

### grpcurl
```
grpcurl -plaintext -d '{"model_name": "ocr", "image_url": "http://someimage.png"}' -import-path ./msir-infer/proto -proto ./msir-infer/proto/apis/inference/v1/infer.proto localhost:9002 inference.v1.ImageInferenceService/InferImage
```
start-ocr 0.0.6
Applying pdfplumber + opencv + pytesseract to extract content and metadata from formal PDF files.
Requires Python: >=3.11

# start-ocr

![Github CI](https://github.com/justmars/start-ocr/actions/workflows/ci.yml/badge.svg)

1. Applying pdfplumber + opencv + pytesseract to extract content and metadata from formal PDF files.
2. pdfplumber's `page.extract_text_lines()` is experimental and thus can work or not depending on the pdf file.
3. See [documentation](https://justmars.github.io/start-ocr).

## Installation

```sh
just start
```