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2021.2.6 此项目不再更新，新项目地址: Yolo-Fastest： Faster and stronger https://github.com/dog-qiuqiu/Yolo-Fastest

• Yolo-Fastest： Faster and stronger https://github.com/dog-qiuqiu/Yolo-Fastest
• 此表中NCNN基准未更新最新ARM82数据，最新版本NCNN理论上ARM82会有一倍速度提升，待更新...
• 添加基于ncnn的106关键点 C sample:https://github.com/dog-qiuqiu/MobileNet-Yolo/tree/master/sample/ncnn

***Darknet Group convolution is not well supported on some GPUs such as NVIDIA PASCAL!!!

• AlexeyAB/darknet#6091 (comment)

针对某些Pascal显卡例如1080ti在darknet上 训练失败/训练异常缓慢/推理速度异常 的可以采用Pytorch版yolo3框架 训练/推理

• https://github.com/dog-qiuqiu/yolov3

MobileNetV2-YOLOv3-Lite&Nano Darknet

Mobile inference frameworks benchmark (4*ARM_CPU)

• Support mobile inference frameworks such as NCNN&MNN
• The mnn benchmark only includes the forward inference time
• The ncnn benchmark is the forward inference time + post-processing time(NMS...) of the convolution feature map.
• Darknet Train Configuration: CUDA-version: 10010 (10020), cuDNN: 7.6.4,OpenCV version: 4 GPU:RTX2080ti

MobileNetV2-YOLOv3-Lite-COCO Test results

Application

Ultralight-SimplePose

• A ultra-lightweight human body posture key point prediction model designed for mobile devices, which can cooperate with MobileNetV2-YOLOv3-Nano to complete the human body posture estimation task
• https://github.com/dog-qiuqiu/Ultralight-SimplePose

YoloFace-500k: 500kb yolo-Face-Detection

• 都500k了，要啥mAP