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pytorch_classification/train_multi_GPU
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- ``` python train_multi_gpu_using_spawn.py ```
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## 训练时间对比
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- ![ training time] ( ./ training_time.png)
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+ ![ training time] ( training_time.png )
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## 是否使用SyncBatchNorm
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- ![ syncbn] ( ./ syncbn.png)
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+ ![ syncbn] ( syncbn.png )
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## 单GPU与多GPU训练曲线
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- ![ accuracy] ( ./ accuracy.png)
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+ ![ accuracy] ( accuracy.png )
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* https://b23.tv/HvMiDy
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## Faster RCNN框架图
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- ![ Faster R-CNN] ( https://github.com/WZMIAOMIAO/deep-learning-for-image-processing/raw/master/pytorch_object_detection/faster_rcnn/ fasterRCNN.png)
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+ ![ Faster R-CNN] ( fasterRCNN.png )
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* https://www.bilibili.com/video/BV1vK411H771/
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## Resnet50 + SSD算法框架图
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- ![ Resnet50 SSD] ( https://github.com/WZMIAOMIAO/deep-learning-for-image-processing/raw/master/pytorch_object_detection/ssd/ res50_ssd.png)
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+ ![ Resnet50 SSD] ( res50_ssd.png )
Original file line number Diff line number Diff line change @@ -129,4 +129,4 @@ cfg_path = "./cfg/yolov3-spp.cfg"
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[ https://www.bilibili.com/video/BV1t54y1C7ra ] ( https://www.bilibili.com/video/BV1t54y1C7ra )
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## YOLOv3 SPP框架图
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- ![ yolov3spp] ( https://github.com/WZMIAOMIAO/deep-learning-for-image-processing/raw/master/pytorch_object_detection/yolov3_spp/ yolov3spp.png)
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+ ![ yolov3spp] ( yolov3spp.png )
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## 进一步了解该项目,以及对FCN代码的分析可参考我的bilibili
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- ## FCN网络框架图
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+ ## Pytorch官方实现的FCN网络框架图
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![ torch_fcn] ( torch_fcn.png )
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