Skip to main content

ONNX-based OCR (PP-OCRv5) inference pipeline with DirectML support.

Project description

这是 https://github.com/jingsongliujing/OnnxOCR 的fork

  • 发布了到PIP上
  • 支持dml
  • 仅依赖无版本限制的 pyclipper, shapely, pillow
  • onnx可以根据自己需要安装cpu, gpu或directml
  • 仅打包了"models/ppocrv5/det/det.onnx" "models/ppocrv5/rec/rec.onnx", 没有cls模型
pip install onnxocr-ppocrv5
pip install onnxocr-ppocrv4
# 新增use_dml
model = ONNXPaddleOcr(use_angle_cls=False, use_gpu=False, use_dml=True)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

onnxocr_ppocrv4-0.0.4.tar.gz (14.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

onnxocr_ppocrv4-0.0.4-py3-none-any.whl (14.4 MB view details)

Uploaded Python 3

File details

Details for the file onnxocr_ppocrv4-0.0.4.tar.gz.

File metadata

  • Download URL: onnxocr_ppocrv4-0.0.4.tar.gz
  • Upload date:
  • Size: 14.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for onnxocr_ppocrv4-0.0.4.tar.gz
Algorithm Hash digest
SHA256 5043fd8884e778acda045ff76eaf29c21e606ac0024d760b98589b17e8965948
MD5 2796f1d829751954024081fb4bf50db1
BLAKE2b-256 c6403aea9acd02b80dbabc53613a46e416b2a3fd77e548f75732f2937c95faee

See more details on using hashes here.

File details

Details for the file onnxocr_ppocrv4-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for onnxocr_ppocrv4-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 471a098abcfe9ba44b8e39b293fb7456cc6bc8b3a39c934720fba0436384ae41
MD5 d522a755bb9f4b5d95f505994fbfbc66
BLAKE2b-256 4192071c3b3ee435915c95f2c20bdc11c19fc22e4b0aa131d231c4dc8ccb3ebf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page