sebastientaylor commited on
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Add hardware badges with chart-consistent colors to README

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  1. README.md +5 -1
README.md CHANGED
@@ -93,11 +93,15 @@ EdgeFirst/yolov8-det/
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  ## Supported Hardware
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  - **Linux x86_64** β€” ONNX Runtime CUDA / CPU (FP32 reference)
 
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  - **Apple macOS** β€” ONNX Runtime + CoreML ANE / GPU / CPU (FP16)
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  - **NXP i.MX 8M Plus** β€” 2.3 TOPS, TFLite INT8
 
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  - **NXP i.MX 95** β€” 2.0 TOPS, eIQ Neutron TFLite *(YOLOv5 / YOLOv8 only; YOLO11 / YOLO26 not yet supported)*
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- - **NXP ARA240** β€” 40 eTOPS, Kinara DVM
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  - **RPi5 + Hailo-8/8L** β€” 13–26 TOPS, HailoRT HEF
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  - **NVIDIA Jetson Orin** β€” 67–157 TOPS, TensorRT
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  ## Supported Hardware
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+ ![x86_64 | Linux](https://img.shields.io/badge/x86__64-Linux-6C757D?style=flat-square) ![aarch64 | Linux](https://img.shields.io/badge/aarch64-Linux-718096?style=flat-square) ![Apple | macOS](https://img.shields.io/badge/Apple-macOS-4B0082?style=flat-square) ![NXP i.MX 8M Plus](https://img.shields.io/badge/NXP-i.MX_8M_Plus-E8B820?style=flat-square) ![NXP i.MX 93](https://img.shields.io/badge/NXP-i.MX_93-8B7DC4?style=flat-square) ![NXP i.MX 95](https://img.shields.io/badge/NXP-i.MX_95-1FA0A8?style=flat-square) ![NXP ARA240](https://img.shields.io/badge/NXP-ARA240-5BB8F5?style=flat-square) ![RPi5 + Hailo-8/8L](https://img.shields.io/badge/RPi5-Hailo--8%2F8L-D9534F?style=flat-square) ![NVIDIA Jetson](https://img.shields.io/badge/NVIDIA-Jetson-2E8B57?style=flat-square)
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+
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  - **Linux x86_64** β€” ONNX Runtime CUDA / CPU (FP32 reference)
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+ - **Linux aarch64** β€” ONNX Runtime / TFLite (ARM64 generic Linux)
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  - **Apple macOS** β€” ONNX Runtime + CoreML ANE / GPU / CPU (FP16)
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  - **NXP i.MX 8M Plus** β€” 2.3 TOPS, TFLite INT8
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+ - **NXP i.MX 93** β€” 1.0 TOPS, VELA TFLite
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  - **NXP i.MX 95** β€” 2.0 TOPS, eIQ Neutron TFLite *(YOLOv5 / YOLOv8 only; YOLO11 / YOLO26 not yet supported)*
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+ - **NXP ARA240** β€” 40 eTOPS, Kinara DVM *(YOLOv5 / YOLOv8 only; YOLO11 / YOLO26 not yet supported)*
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  - **RPi5 + Hailo-8/8L** β€” 13–26 TOPS, HailoRT HEF
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  - **NVIDIA Jetson Orin** β€” 67–157 TOPS, TensorRT
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