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 |
|---|---|---|---|
| deploy/android_demo/app/src/test/java/com/baidu/paddle/lite/demo/ocr/ExampleUnitTest.java |
unit
|
java | This JUnit unit test verifies basic arithmetic operations in the PaddleOCR Android demo application testing environment. |
| deploy/slim/auto_compression/test_ocr.py |
unit
|
python | This PaddlePaddle unit test verifies OCR model inference performance and accuracy across different hardware configurations and precision levels. |
| tools/test_hubserving.py |
unit
|
python | This Python unit test verifies PaddleOCR’s Hub Serving functionality through HTTP-based OCR model inference and result validation. |
| test_tipc/supplementary/config.py |
unit
|
python | This Python unit test verifies configuration management and preprocessing functionality for PaddleOCR’s training and inference setup. |
| test_tipc/supplementary/custom_op/custom_relu_op.cc |
unit
|
cpp | This unit test verifies custom ReLU operator implementation with both CPU and GPU support in PaddleOCR’s extension framework. |
| test_tipc/supplementary/data.py |
unit
|
python | This Python unit test verifies image preprocessing operations and data transformation pipeline for PaddleOCR processing tasks. |
| test_tipc/supplementary/load_cifar.py |
unit
|
python | This Python unit test verifies CIFAR-100 dataset loading, transformation, and image processing functionality for PaddleOCR. |
| test_tipc/supplementary/metric.py |
unit
|
python | This PaddlePaddle unit test verifies model accuracy metrics calculation including top-k predictions and distributed evaluation scenarios. |
| test_tipc/supplementary/mv3.py |
unit
|
python | This PaddlePaddle unit test verifies MobileNetV3 model implementations including standard, distillation and Siamese network variants. |
| test_tipc/supplementary/optimizer.py |
unit
|
python | This Python unit test verifies optimizer implementations and learning rate scheduling mechanisms in PaddleOCR’s training pipeline. |