зеркало из https://github.com/microsoft/caffe.git
25 строки
1.4 KiB
Bash
Executable File
25 строки
1.4 KiB
Bash
Executable File
#!/bin/bash
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#### https://github.com/Yangqing/mincepie/wiki/Launch-Your-Mapreducer
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# If you encounter error that the address already in use, kill the process.
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# 11235 is the port of server process
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# https://github.com/Yangqing/mincepie/blob/master/mincepie/mince.py
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# sudo netstat -ap | grep 11235
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# The last column of the output is PID/Program name
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# kill -9 PID
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# Second solution:
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# nmap localhost
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# fuser -k 11235/tcp
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# Or just wait a few seconds.
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## Launch your Mapreduce locally
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# num_clients: number of processes
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# image_lib: OpenCV or PIL, case insensitive. The default value is the faster OpenCV.
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# input: the file containing one image path relative to input_folder each line
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# input_folder: where are the original images
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# output_folder: where to save the resized and cropped images
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./resize_and_crop_images.py --num_clients=8 --image_lib=opencv --input=/home/user/Datasets/ImageNet/ILSVRC2010/ILSVRC2010_images.txt --input_folder=/home/user/Datasets/ImageNet/ILSVRC2010/ILSVRC2010_images_train/ --output_folder=/home/user/Datasets/ImageNet/ILSVRC2010/ILSVRC2010_images_train_resized/
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## Launch your Mapreduce with MPI
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# mpirun -n 8 --launch=mpi resize_and_crop_images.py --image_lib=opencv --input=/home/user/Datasets/ImageNet/ILSVRC2010/ILSVRC2010_images.txt --input_folder=/home/user/Datasets/ImageNet/ILSVRC2010/ILSVRC2010_images_train/ --output_folder=/home/user/Datasets/ImageNet/ILSVRC2010/ILSVRC2010_images_train_resized/
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