PaddleOCR Testing: Multi-Framework Test Suite for OCR System Validation
PaddleOCR's testing infrastructure demonstrates a comprehensive approach to quality assurance, utilizing multiple testing frameworks including pytest for Python unit tests, Jest for web interface testing, and JUnit for Android deployment verification. The repository contains 27 test files that cover critical functionality like loss calculations, document structure analysis, and cross-platform deployment validation across web and mobile environments. Qodana Tests Hub provides developers with valuable insights into PaddleOCR's testing patterns, offering easy navigation through test implementations across different platforms and frameworks. By exploring these real-world testing examples, developers can understand best practices for OCR testing, including loss function validation, multi-language support testing, and mobile deployment verification, helping them implement robust testing strategies in their own OCR projects.
| Path | Test Type | Language | Description |
|---|---|---|---|
| test_tipc/supplementary/slim/slim_fpgm.py |
unit
|
python | This PaddleSlim unit test verifies FPGM-based model pruning functionality for convolutional neural networks in PaddleOCR. |
| test_tipc/supplementary/utils.py |
unit
|
python | This Python utility test verifies logging configuration, model loading, and parameter management functionality for PaddleOCR’s testing infrastructure. |
| test_tipc/supplementary/train.py |
unit
|
python | This PaddlePaddle unit test verifies model training workflows including classification, distillation, quantization and distributed training capabilities. |
| test_tipc/web/jest-puppeteer.config.js |
unit
|
javascript | This Jest-Puppeteer configuration test verifies browser automation and server setup for PaddleOCR web interface testing. |
| tests/test_cls_postprocess.py |
unit
|
python | This pytest unit test verifies the classification post-processing functionality in PaddleOCR’s ClsPostProcess class. |
| tests/test_iaa_augment.py |
unit
|
python | This pytest unit test verifies image augmentation transformations and polygon coordinate handling in the IaaAugment class of PaddleOCR. |
| deploy/fastdeploy/android/app/src/androidTest/java/com/baidu/paddle/fastdeploy/ExampleInstrumentedTest.java |
unit
|
java | This JUnit instrumented test verifies Android application context and package name for PaddleOCR FastDeploy. |
| tests/test_ppstructure.py |
unit
|
python | This pytest unit test verifies PPStructure initialization and document analysis functionality in PaddleOCR across multiple languages and image types. |
| test_tipc/compare_results.py |
unit
|
python | This Python unit test verifies OCR model prediction consistency across different precision formats in PaddleOCR. |
| test_tipc/supplementary/custom_op/test.py |
unit
|
python | This PaddlePaddle unit test verifies custom ReLU operator integration within a LeNet CNN training pipeline. |