YOLOv6 web demo on Huggingface Spaces with Gradio.YOLOv6 TensorRT Windows C++: yolort from Wei Zeng.YOLOv6 TensorRT Python: yolov6-tensorrt-python from Linaom1214.There, the charming trickster Hector (voice of. In Disney/Pixar’s vibrant tale of family, fun and adventure, aspiring young musician named Miguel (voice of newcomer Anthony Gonzalez) embarks on an extraordinary journey to the magical land of his ancestors. YOLOv6 ONNXRuntime/MNN/TNN C++: YOLOv6-ORT, YOLOv6-MNN and YOLOv6-TNN from DefTruth Genre: Animation, Family, Fantasy, Musical.YOLOv6 NCNN Android app demo: ncnn-android-yolov6 from FeiGeChuanShu.
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Release M/L models and update N/T/S models with enhanced performance.YOLOv6-T/M/L also have excellent performance, which show higher accuracy than other detectors with the similar inference speed. YOLOv6-S strikes 43.5% AP with 495 FPS, and the quantized YOLOv6-S model achieves 43.3% AP at a accelerated speed of 869 FPS on T4. YOLOv6-N hits 35.9% AP on COCO dataset with 1234 FPS on T4. For industrial deployment, we adopt QAT with channel-wise distillation and graph optimization to pursue extreme performance. And some Bag-of-freebies methods are introduced to further improve the performance, such as self-distillation and more training epochs. YOLOv6 has a series of models for various industrial scenarios, including N/T/S/M/L, which the architectures vary considering the model size for better accuracy-speed trade-off. YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance. Implementation of paper - YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications Introduction