NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
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Updated
Aug 8, 2024 - Python
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)
docker images for training, mining and infer for ymir
This repo is implemented based on detectron2
Implemented the prediction inference process of the NANODET model in ONNX format and TFLite format
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