docs: add system inference example with predict_system.py

README.md

@@ -81,6 +81,41 @@ if isinstance(sd_rec, dict) and "state_dict" in sd_rec: sd_rec = sd_rec["state_d
 ```
 
 
+## System Inference (predict_system.py)
+
+Quick end-to-end OCR with PaddleOCR2Pytorch's system script.
+
+1) Clone code and install minimal deps (CPU example)
+
+```bash
+git clone https://github.com/frotms/PaddleOCR2Pytorch.git
+cd PaddleOCR2Pytorch
+pip install -U torch opencv-python pillow pyyaml safetensors
+```
+
+2) Download weights and YAML (put in current folder)
+
+```bash
+# Weights (recommended)
+curl -L -o ptocr_v5_server_det.safetensors   "https://huggingface.co/JoyCN/PaddleOCR-Pytorch/resolve/main/ptocr_v5_server_det.safetensors?download=true"
+curl -L -o ptocr_v5_server_rec.safetensors   "https://huggingface.co/JoyCN/PaddleOCR-Pytorch/resolve/main/ptocr_v5_server_rec.safetensors?download=true"
+
+# Configs (YAML)
+curl -L -o PP-OCRv5_server_det.yml   "https://huggingface.co/JoyCN/PaddleOCR-Pytorch/resolve/main/PP-OCRv5_server_det.yml?download=true"
+curl -L -o PP-OCRv5_server_rec.yml   "https://huggingface.co/JoyCN/PaddleOCR-Pytorch/resolve/main/PP-OCRv5_server_rec.yml?download=true"
+```
+
+3) Run end-to-end detection + recognition
+
+```bash
+python tools/infer/predict_system.py   --use_gpu False   --image_dir path/to/your_image.png   --det_algorithm DB   --det_yaml_path ./PP-OCRv5_server_det.yml   --rec_yaml_path ./PP-OCRv5_server_rec.yml   --det_model_path ./ptocr_v5_server_det.safetensors   --rec_model_path ./ptocr_v5_server_rec.safetensors   --rec_char_dict_path ./pytorchocr/utils/dict/ppocrv5_dict.txt   --rec_algorithm SVTR   --rec_image_shape "3,48,320"   --draw_img_save_dir ./inference_results
+```
+
+- Set `--use_gpu True` if you have a CUDA-ready environment.
+- `--rec_image_shape "3,48,320"` is important for PP-OCRv5 recognition.
+- Outputs: detection boxes, recognized text with scores, and a visualization image saved under `--draw_img_save_dir`.
+
+
 ## Notes
 
 - Prefer the `huggingface_hub` API (`hf_hub_download`/`snapshot_download`) for reliable downloads and caching.