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Results will save to yolov8PoseResults.json. If the - o option is not usedunused, it will be saved as a file by default: default_result.json.

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a. Please use snnf_build.sh for SNNF compiling.

b. All the resource will be installed to the release folder.

  1. Copy the release folder to the C3V platform.

  2. Setup environment variable.

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Models reference

Model Name

Version or Path

Yolov5sgenderage

https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt

Human Attributes

https://bj.bcebos.com/v1/paddledet/models/pipeline/PPLCNet_x1_0_person_attribute_945_infer.zip

Light Face

https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB/blob/master/models/onnx/version-slim-320.onnx

Optical character recognition

  • ch_PP-OCRv3_det_infer

  • ch_ppocr_mobile_v2.0_cls_infer

  • ch_PP-OCRv3_rec_infer

Age recognition

https://gitcode.com/smahesh29/Gender-and-Age-Detection/commits/master 7c024d9d453c9b35a72a984d8821b5832ef17401

Yolov8 Detection

https://github.com/ultralytics/ultralytics

Yolov8 Pose

https://github.com/ultralytics/ultralytics

Yolov8 OBB

https://github.com/ultralytics/ultralytics

Yolov8 Segmentation

https://github.com/ultralytics/ultralytics

Yolov8 Classification

https://github.com/ultralytics/ultralytics

Vehicle attributes

https://bj.bcebos.com/v1/paddledet/models/pipeline/vehicle_attribute_model.zip

License plate recognition

CCPD2020

Yolov8 CCPD detection

OCR

Yolov10 Detection

https://github.com/THU-MIG/yolov10

RTMDet

https://github.com/open-mmlab/mmdetection

Face Recognition

https://github.com/deepinsight/insightface

Object tracking

BotSort

Falling Recognition

STGCNdeepinsight/insightface

User API

Please refer to API DOC v2.0 .