Upload pp-ocrv6-tiny-det ONNX model

README.md

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+---
+library_name: onnx
+tags:
+  - ocr
+  - paddleocr
+  - pp-ocrv6
+  - text-detection
+  - onnx
+  - inference4j
+license: apache-2.0
+pipeline_tag: object-detection
+---
+
+# PP-OCRv6 Tiny Det — ONNX
+
+ONNX export of [PaddlePaddle/PP-OCRv6_tiny_det_onnx](https://huggingface.co/PaddlePaddle/PP-OCRv6_tiny_det_onnx), the lightweight tiny text detection model from PaddleOCR PP-OCRv6 (~1.8 MB). Designed for resource-constrained environments.
+
+Mirrored for use with [inference4j](https://github.com/inference4j/inference4j), an inference-only AI library for Java.
+
+## Original Source
+
+- **Repository:** [PaddlePaddle](https://huggingface.co/PaddlePaddle/PP-OCRv6_tiny_det_onnx)
+- **License:** apache-2.0
+
+## Usage with inference4j
+
+```java
+try (var ocr = OcrPipeline.builder().build()) {
+    List<TextRegion> lines = ocr.read(image);
+}
+```
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Architecture | PP-OCRv6 Tiny Detection (DBNet) |
+| Task | Text detection |
+| Model size | ~1.8 MB |
+| Input format | [batch, 3, H, W] (BGR, dynamic shape) |
+| Original framework | PaddlePaddle (PP-OCRv6) |
+| Technical report | [PP-OCRv6](https://github.com/PaddlePaddle/PaddleOCR) |
+
+## License
+
+This model is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). Original model by [PaddlePaddle](https://github.com/PaddlePaddle/PaddleOCR).

inference.yml

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+Global:
+  model_name: PP-OCRv6_tiny_det
+Hpi:
+  backend_configs:
+    paddle_infer:
+      trt_dynamic_shapes: &id001
+        x:
+        - - 1
+          - 3
+          - 32
+          - 32
+        - - 1
+          - 3
+          - 736
+          - 736
+        - - 1
+          - 3
+          - 4000
+          - 4000
+    tensorrt:
+      dynamic_shapes: *id001
+PostProcess:
+  box_thresh: 0.4
+  max_candidates: 3000
+  name: DBPostProcess
+  thresh: 0.2
+  unclip_ratio: 1.4
+PreProcess:
+  transform_ops:
+  - DecodeImage:
+      channel_first: false
+      img_mode: BGR
+  - DetLabelEncode: null
+  - DetResizeForTest: null
+  - NormalizeImage:
+      mean:
+      - 0.485
+      - 0.456
+      - 0.406
+      order: hwc
+      scale: 1./255.
+      std:
+      - 0.229
+      - 0.224
+      - 0.225
+  - ToCHWImage: null
+  - KeepKeys:
+      keep_keys:
+      - image
+      - shape
+      - polys
+      - ignore_tags

model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:193bab7a04fca699a6c82e6abb5b81bdb28177f0abd4062552b04908dafb19f8
+size 1780590