minor text change

bin/dpmcreate.c

@@ -17,16 +17,16 @@ void exit_with_help()
 	"\t--symmetric : 0 or 1, whether to exploit symmetric property of the object\n\n"
 	"\033[1mOTHER OPTIONS\033[0m\n"
 	"\t--base-dir : change the base directory so that the program can read images from there\n"
-	"\t--iterations : how many iterations needed for stochastic gradient descent [DEFAULT TO 1000]\n"
-	"\t--data-minings : how many data mining procedures are needed for discovering hard examples [DEFAULT TO 50]\n"
+	"\t--iterations : how many iterations are needed for stochastic gradient descent [DEFAULT TO 1000]\n"
+	"\t--data-minings : how many data mining procedures are needed for discovering hard examples [DEFAULT TO 100]\n"
 	"\t--relabels : how many relabel procedures are needed [DEFAULT TO 5]\n"
-	"\t--alpha : the step size for stochastic gradient descent [DEFAULT TO 0.1]\n"
-	"\t--alpha-ratio : decrease the step size for each iteration [DEFAULT TO 0.99]\n"
+	"\t--alpha : the step size for stochastic gradient descent [DEFAULT TO 0.01]\n"
+	"\t--alpha-ratio : decrease the step size for each iteration [DEFAULT TO 0.995]\n"
 	"\t--margin-c : the famous C in SVM [DEFAULT TO 0.002]\n"
-	"\t--balance : to balance the weight of positive examples and negative examples [DEFAULT TO 1.75]\n"
-	"\t--negative-cache-size : the cache size for negative examples it should be smaller than negative-count and larger than 100 [DEFAULT TO 1000]\n"
+	"\t--balance : to balance the weight of positive examples and negative examples [DEFAULT TO 1.5]\n"
+	"\t--negative-cache-size : the cache size for negative examples it should be smaller than negative-count and larger than 100 [DEFAULT TO 2000]\n"
 	"\t--include-overlap : the percentage of overlap between expected bounding box and the bounding box from detection. Beyond this threshold, it is ensured to be the same object [DEFAULT TO 0.7]\n"
-	"\t--grayscale : 0 or 1, whether to exploit color in a given image [DEFAULT TO 1]\n"
+	"\t--grayscale : 0 or 1, whether to exploit color in a given image [DEFAULT TO 0]\n"
 	"\t--percentile-breakdown : 0.00 - 1.00, the percentile use for breakdown threshold [DEFAULT TO 0.05]\n"
 	);
 	exit(-1);

bin/dpmdetect.c

@@ -17,7 +17,7 @@ int main(int argc, char** argv)
 	ccv_dense_matrix_t* image = 0;
 	ccv_read(argv[1], &image, CCV_IO_ANY_FILE);
 	ccv_dpm_mixture_model_t* model = ccv_load_dpm_mixture_model(argv[2]);
-	ccv_dpm_param_t params = { .interval = 8, .min_neighbors = 1, .flags = 0, .threshold = 0.3 };
+	ccv_dpm_param_t params = { .interval = 8, .min_neighbors = 1, .flags = 0, .threshold = 0.4 };
 	if (image != 0)
 	{
 		unsigned int elapsed_time = get_current_time();

lib/ccv_dpm.c

@@ -1304,7 +1304,7 @@ static void _ccv_dpm_adjust_model_constant(ccv_dpm_mixture_model_t* model, ccv_d
 		float adjust = scores[ccv_clamp((int)(percentile * j), 0, j - 1)];
 		// adjust to percentile
 		model->root[k].beta -= adjust;
-		printf(" - tune model %d constant for %f\n", k, -adjust);
+		printf(" - tune model %d constant for %f\n", k + 1, -adjust);
 	}
 	ccfree(scores);
 }