Rename model card to Platrix; add img-test sample photos and cross-links

@@ -18,12 +18,15 @@ tags:
   - object-detection
 ---
-# ocr-persian — Iranian License-Plate Recognition Models
 Production ONNX models for detecting and reading **Iranian vehicle license
 plates**, powering the [**Platrix**](https://github.com/AliAkrami1375/Platrix)
 real-time, self-hosted plate-surveillance system.
 The pipeline is **two-stage**: a YOLO **detector** locates the plate in the
 frame, then a segmentation-free **CRNN + CTC reader** reads the whole plate at
 once and returns the standard Iranian layout `DD L DDD DD`
@@ -68,10 +71,13 @@ instead of shifting the input distribution.
 ```bash
 pip install onnxruntime opencv-python-headless numpy
-huggingface-cli download Dibachain/ocr-persian \
     plate_yolo.onnx ocr_crnn.onnx ocr_crnn.labels.json --local-dir models/
 ```
 ```python
 import json, cv2, numpy as np, onnxruntime as ort

   - object-detection
 ---
+# Platrix — Iranian License-Plate Recognition Models
 Production ONNX models for detecting and reading **Iranian vehicle license
 plates**, powering the [**Platrix**](https://github.com/AliAkrami1375/Platrix)
 real-time, self-hosted plate-surveillance system.
+> 📦 **Code & full pipeline:** https://github.com/AliAkrami1375/Platrix
+> 🤗 **This model repo:** https://huggingface.co/Dibachain/Platrix
 The pipeline is **two-stage**: a YOLO **detector** locates the plate in the
 frame, then a segmentation-free **CRNN + CTC reader** reads the whole plate at
 once and returns the standard Iranian layout `DD L DDD DD`
 ```bash
 pip install onnxruntime opencv-python-headless numpy
+huggingface-cli download Dibachain/Platrix \
     plate_yolo.onnx ocr_crnn.onnx ocr_crnn.labels.json --local-dir models/
 ```
+A few **real test photos** ship in this repo under [`img-test/`](./tree/main/img-test)
+so you can try recognition right away.
 ```python
 import json, cv2, numpy as np, onnxruntime as ort