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v1.0.4 release
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patched_yolo_infer/README.md

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pip install patched_yolo_infer
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```
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Note: If CUDA support is available, it's recommended to pre-install PyTorch with CUDA support before installing the library. Otherwise, the CPU version will be installed by default.
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</details>
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## Notebooks
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Example of using various functions for visualizing basic YOLOv8/v9 inference results and handling overlapping crops - [Open in Colab](https://colab.research.google.com/drive/1eM4o1e0AUQrS1mLDpcgK9HKInWEvnaMn?usp=sharing)
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---
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## Examples:
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#### Detection example:
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<img src="../readme_content/getection.gif" alt="Detection" width="800">
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#### Instance Segmentation example 1:
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<img src="../readme_content/segment_1.gif" alt="Segmentation" width="800">
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#### Instance Segmentation example 2:
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<img src="../readme_content/segment_2.gif" alt="Segmentation" width="800">
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## Usage
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### 1. Patch-Based-Inference

setup.py

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long_description = "\n" + fh.read()
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VERSION = '1.0.3'
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VERSION = '1.0.4'
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DESCRIPTION = '''YOLO-Patch-Based-Inference for detection/segmentation of small objects in images.'''
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setup(

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