为YOLOv框架实现了多骨干和多gpu_model，从qqwwee分叉而来。_Implementedmulti-bac资源-CSDN下载

共26个文件

py：20个

txt：4个

otf：1个

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package

为YOLOv框架实现了多骨干和多gpu_model，从qqwwee分叉而来。_Implemented multi-backbone and multi_gpu_model for YOLOv3 framework, forked from qqwwee..zip （26个子文件）

folder

Multi-YOLOv3-master

folder

helper

utils.py 15KB

train_helper.py 7KB

image_helper.py 15KB

output_helper.py 4KB

input_helper.py 2KB

folder

font

FiraMono-Medium.otf 124KB

SIL Open Font License.txt 4KB

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toolkits

coco_annotation.py 1KB

convert.py 10KB

kmeans.py 3KB

train_YOLOv3_SingleGPU.py 8KB

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dataset

yolo_anchors.txt 68B

object_classes.txt 31B

train.txt 585B

test_YOLOv3_folder.py 4KB

train_YOLOv3_MultiGPU.py 15KB

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yolo3

model_Xception.py 25KB

utils.py 11KB

model_Mobilenet.py 29KB

model_MobileNetV2.py 17KB

model_ShuffleNet.py 66KB

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detector

detector.py 508B

YOLOv3.py 9KB

model_vgg16.py 19KB

README.md 278B

test_YOLOv3_file.py 9KB

# Mutli-YOLOv3 Implemented multi-backbone and multi_gpu_model for YOLOv3 framework, forked from qqwwee (https://github.com/qqwweee/keras-yolo3). # Improvement ##1. Train models with multi GPUs ##2. Train models with multi Backbones (DarkNet, MobileNet, MobileNetV2, Xception)

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