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Added a --split-train-test option to imglab.
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@ -21,7 +21,7 @@
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#include <dlib/dir_nav.h>
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const char* VERSION = "1.14";
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const char* VERSION = "1.15";
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@ -127,6 +127,44 @@ int split_dataset (
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// ----------------------------------------------------------------------------------------
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int make_train_test_splits (
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const command_line_parser& parser
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)
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{
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if (parser.number_of_arguments() != 1)
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{
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cerr << "The --split-train-test option requires you to give one XML file on the command line." << endl;
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return EXIT_FAILURE;
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}
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const double train_frac = get_option(parser, "split-train-test", 0.5);
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dlib::image_dataset_metadata::dataset data, data_train, data_test;
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load_image_dataset_metadata(data, parser[0]);
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data_train.name = data.name;
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data_train.comment = data.comment;
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data_test.name = data.name;
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data_test.comment = data.comment;
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const unsigned long num_train_images = static_cast<unsigned long>(std::round(train_frac*data.images.size()));
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for (unsigned long i = 0; i < data.images.size(); ++i)
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{
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if (i < num_train_images)
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data_train.images.push_back(data.images[i]);
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else
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data_test.images.push_back(data.images[i]);
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}
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save_image_dataset_metadata(data_train, left_substr(parser[0],".") + "_train.xml");
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save_image_dataset_metadata(data_test, left_substr(parser[0],".") + "_test.xml");
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return EXIT_SUCCESS;
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}
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// ----------------------------------------------------------------------------------------
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void print_all_labels (
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const dlib::image_dataset_metadata::dataset& data
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)
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@ -545,6 +583,10 @@ int main(int argc, char** argv)
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parser.add_option("seed", "When using --shuffle, set the random seed to the string <arg>.",1);
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parser.add_option("split", "Split the contents of an XML file into two separate files. One containing the "
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"images with objects labeled <arg> and another file with all the other images. ",1);
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parser.add_option("split-train-test", "Split the contents of an XML file into two separate files. A training "
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"file containing <arg> fraction of the images and a testing file containing the remaining (1-<arg>) images. "
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"The partitioning is done deterministically by putting the first images in the input xml file into the training split "
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"and the later images into the test split.",1);
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parser.add_option("add", "Add the image metadata from <arg1> into <arg2>. If any of the image "
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"tags are in both files then the ones in <arg2> are deleted and replaced with the "
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"image tags from <arg1>. The results are saved into merged.xml and neither <arg1> or "
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@ -581,7 +623,7 @@ int main(int argc, char** argv)
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const char* singles[] = {"h","c","r","l","files","convert","parts","rmdiff", "rmtrunc", "rmdupes", "seed", "shuffle", "split", "add",
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"flip-basic", "flip", "rotate", "tile", "size", "cluster", "resample", "min-object-size", "rmempty",
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"crop-size", "cropped-object-size", "rmlabel", "rm-other-labels", "rm-if-overlaps", "sort-num-objects",
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"one-object-per-image", "jpg", "rmignore", "sort"};
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"one-object-per-image", "jpg", "rmignore", "sort", "split-train-test"};
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parser.check_one_time_options(singles);
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const char* c_sub_ops[] = {"r", "convert"};
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parser.check_sub_options("c", c_sub_ops);
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@ -676,6 +718,7 @@ int main(int argc, char** argv)
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parser.check_option_arg_range("min-object-size", 1, 10000*10000);
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parser.check_option_arg_range("cropped-object-size", 4, 10000*10000);
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parser.check_option_arg_range("crop-size", 1.0, 100.0);
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parser.check_option_arg_range("split-train-test", 0.0, 1.0);
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if (parser.option("h"))
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{
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@ -1016,6 +1059,11 @@ int main(int argc, char** argv)
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return split_dataset(parser);
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}
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if (parser.option("split-train-test"))
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{
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return make_train_test_splits(parser);
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}
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if (parser.option("shuffle"))
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{
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if (parser.number_of_arguments() != 1)
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