- Truong Phuc Anh - 14520040@gm.uit.edu.vn
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Python 3.6
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Matlab
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Run ./setup/install_python.cmd to install python 3.
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Run command python in command line to check whether install sucess or not.
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Run ./setup/install_packages.cmd to install python's packages.
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Run python ./setup/test/tensorflow_test.py to validate your tensorflow installation. If "Hello, TensorFlow!" is printed, your installation is success.
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Run python ./setup/test/keras_test.py to validate your keras installation. If "Hello Keras!" is printed, your installation is success.
Download 2 datasets using link below, extra it in ./src/DS_/original.
Re-format dataset into ./src/DS_/original/
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GTOS dataset: http://eceweb1.rutgers.edu/vision/gts/download.html
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FMD dataset: https://people.csail.mit.edu/celiu/CVPR2010/FMD/
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Make sure you have original dataset in folder ./DS_<dataset_name>/data/original.
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Run the following command.
python ./src/tools/create_data_folders.py <dataset_name> texture
python ./src/get_data_filenames.py <dataset_name> original
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Open Matlab.exe, change working folder to ./src.
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In get_texture.m edit txt file name into <dataset_name>_original.txt.
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Run get_texture.m.
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Open folder ./DS_<dataset_name>/data/texture to check
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Make sure you have original dataset in folder ./DS_<dataset_name>/data/original.
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Run the following command.
python ./src/local-feature-extractor/extract_candy_edge.py <dataset_name>
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Make sure you have original, edges and texture dataset in folder ./DS_<dataset_name>/data.
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Configs your own SVM kernel parameter in file ./config/models_config.csv
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Run the following command.
./src/run-FMD.cmd
./src/run-GTOS.cmd
- Only re-train the last layer. Run the following commands:
python .\src\vgg16_experiment\finetune.py GTOS 1 39
python .\src\vgg16_experiment\finetune.py GTOS 2 39
python .\src\vgg16_experiment\finetune.py GTOS 3 39
python .\src\vgg16_experiment\finetune.py GTOS 4 39
python .\src\vgg16_experiment\finetune.py GTOS 5 39
python .\src\vgg16_experiment\finetune.py FMD 1 10
python .\src\vgg16_experiment\finetune.py FMD 2 10
python .\src\vgg16_experiment\finetune.py FMD 3 10
python .\src\vgg16_experiment\finetune.py FMD 4 10
python .\src\vgg16_experiment\finetune.py FMD 5 10
- Re-train all layers. Run the following commands
python .\src\vgg16_experiment\finetune_full.py GTOS 1 39
python .\src\vgg16_experiment\finetune_full.py GTOS 2 39
python .\src\vgg16_experiment\finetune_full.py GTOS 3 39
python .\src\vgg16_experiment\finetune_full.py GTOS 4 39
python .\src\vgg16_experiment\finetune_full.py GTOS 5 39
python .\src\vgg16_experiment\finetune_full.py FMD 1 10
python .\src\vgg16_experiment\finetune_full.py FMD 2 10
python .\src\vgg16_experiment\finetune_full.py FMD 3 10
python .\src\vgg16_experiment\finetune_full.py FMD 4 10
python .\src\vgg16_experiment\finetune_full.py FMD 5 10
Results are stored in ./<dataset_name>/result/test
Including: accuracy, miss sample, classifiers, confusion matrix, etc.