资源算法YOLOv3-Mobilenetv2

YOLOv3-Mobilenetv2

2020-02-28 | |  40 |   0 |   0

YOLOv3-Mobilenetv2

This is a MobileNet v2 training and implementation of YOLOv3. Code is written with reference to https://github.com/eriklindernoren/PyTorch-YOLOv3, with modifications/corrections made.

Change as required:

Current example uses trainList.part data list file (modified from https://pjreddie.com/media/files/coco/trainvalno5k.part, where validation dataset is discarded). Refer to https://github.com/eriklindernoren/PyTorch-YOLOv3/blob/master/data/get_coco_dataset.sh to obtain dataset. trainDatasetDirectory and trainDatasetLabelDirectory argument indicates the image and label file location respectively (MobileNet COCO test has low mAP though)


图片.png

Will add more info


上一篇: fire_detect_mobilenet_v2_ssdlite_keras

下一篇:mobileNet-SSD-for-Movidus

用户评价
全部评价

热门资源

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...