:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
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Difference between Yolo-Fastest and MobileNetV2-YOLO-Fastest #36
Hi, i'm converting your models to TensorRT model to use in NVIDIA DeepStream SDK. I already ported MobileNetV2-YOLOv3-Nano and MobileNetV2-YOLOv3-Lite.
The Yolo-Fastest and MobileNetV2-YOLO-Fastest are the same model?
Hi, i'm converting your models to TensorRT model to use in NVIDIA DeepStream SDK. I already ported MobileNetV2-YOLOv3-Nano and MobileNetV2-YOLOv3-Lite.
The Yolo-Fastest and MobileNetV2-YOLO-Fastest are the same model?
I need to know, to create parse functions.
Thanks.