phytec-yolov8n-tflite 1.0.1

YOLOv8 INT8 TFLite webcam inference for i.MX8MP (NPU / CPU)

yolov8-tflite-imx

YOLOv8 INT8 TFLite webcam inference for i.MX8MP (phyBOARD-Pollux).
Supports CPU and NPU acceleration via the VeriSilicon VX delegate.

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Included models

Command	Model task	Default model path
detect	Object detection (COCO)	yolov8n_object_detection_full_integer_quant.tflite
pose	Pose estimation	yolov8n-pose_full_integer_quant.tflite
obb	Oriented bounding box	yolov8n-obb_full_integer_quant.tflite
segment	Instance segmentation	yolov8n-seg_full_integer_quant.tflite

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Pose estimation

pose --cam 0                          # CPU
pose --cam 0 --npu                    # NPU

Oriented bounding box (OBB)

obb --cam 0                           # CPU
obb --cam 0 --npu                     # NPU

Instance segmentation

segment --cam 0                       # CPU
segment --cam 0 --npu                 # NPU

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All flags (same for every command)

Flag	Default	Description
--model PATH	see table above	Path to .tflite model
--cam INT	0	Camera device ID
--conf FLOAT	0.25	Confidence threshold
--iou FLOAT	0.45	NMS IoU threshold
--npu	off	Enable NPU via /usr/lib/libvx_delegate.so
--delegate PATH	None	Custom delegate .so (overrides --npu)
--no-gst	off	Disable GStreamer, use V4L2 directly

Keys while running

Key	Action
q or ESC	Quit
s	Save current frame as capture_<task>.jpg

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Requirements

• Python ≥ 3.8
• tflite_runtime (installed separately for your board/arch)
• opencv-python ≥ 4.5
• numpy ≥ 1.21
• NPU: /usr/lib/libvx_delegate.so present on the board

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License

MIT