void init_haar(t_haar *haar)
{
init_feature(haar->typea);
init_feature(haar->typeb);
init_feature(haar->typec);
init_feature(haar->typed);
init_feature(haar->typee);
}
int main(int argc, char *argv[])
{
boolean print_parse = FALSE;
boolean print_expanded = FALSE;
char *arg;
char *source_name = NULL;
char *output_name = NULL;
FILE *file;
add_header_handler("module", set_module);
add_header_handler("library", set_library);
add_header_handler(NULL, end_of_headers);
init_sym_table();
init_feature();
init_info();
init_expand();
init_compile();
#ifdef MACOS
add_feature(symbol("macos"));
# ifndef SHLB
argc = ccommand( &argv );
# endif
#endif
while ((arg = *++argv) != NULL) {
if (arg[0] == '-') {
switch (arg[1]) {
case 'd':
if (arg[2] == '\0') {
print_parse = TRUE;
print_expanded = TRUE;
}
else {
char *ptr;
for (ptr = arg+2; *ptr != '\0'; ptr++) {
switch (*ptr) {
case 'p':
print_parse = TRUE;
break;
case 'e':
print_expanded = TRUE;
break;
default:
fprintf(stderr, "Invalid thing to print: ``%c''\n",
*ptr);
usage();
}
}
}
break;
case 'o':
if (output_name != NULL) {
fprintf(stderr, "-o can only be used once.\n");
usage();
}
else if (arg[2] != '\0')
output_name = arg+2;
else if (*++argv == NULL) {
fprintf(stderr, "-o must be followed by the output "
"file name.\n");
usage();
}
else
output_name = *argv;
break;
case 'l':
if (LibraryName != NULL) {
fprintf(stderr, "-l can only be used once.\n");
usage();
}
if (arg[2] != '\0')
LibraryName = symbol(arg+2);
else if (*++argv == NULL) {
fprintf(stderr, "-l must be followed by the library "
"name.\n");
usage();
}
else
LibraryName = symbol(*argv);
break;
case 'q':
GiveWarnings = FALSE;
break;
case 'D':
if (arg[2] != '\0')
add_feature(symbol(arg + 2));
else if (*++argv == NULL) {
fprintf(stderr,
"-D must be followed by the feature to define.\n");
usage();
}
else
add_feature(symbol(*argv));
break;
case 'U':
if (arg[2] != '\0')
remove_feature(symbol(arg + 2));
else if (*++argv == NULL) {
fprintf(stderr, "-U must be followed by the feature "
"to undefine.\n");
usage();
}
else
remove_feature(symbol(*argv));
break;
default:
fprintf(stderr, "Invalid flag: ``%s''\n", arg);
usage();
}
}
else if (source_name != NULL) {
fprintf(stderr, "Too many files\n");
usage();
}
else
source_name = arg;
}
if (source_name == NULL)
usage();
yyin = fopen(source_name, "rb");
if (yyin == NULL) {
/* Try the same filename but in the current directory */
/* Start ptr at the null termination, and work backwards to a
path separator. */
char *ptr = source_name + strlen(source_name);
for ( ; ptr != source_name; ptr--) {
if (*ptr == '/' || *ptr == '\\') {
/* We're pointing at the path separator, which is too far */
ptr++;
break;
}
}
/* If ptr is a different string than source_name, and it isn't
the empty string... */
if (ptr != source_name && *ptr != 0) {
yyin = fopen(ptr, "rb");
}
if (yyin == NULL) {
perror(source_name);
exit(1);
}
}
current_file = source_name;
yyparse();
if (print_parse) {
printf("================ Original Parse Tree ================\n");
print_body(Program, 0);
}
if (nerrors != 0)
exit(1);
/* Do the various source-to-source expansions. */
expand(Program);
if (print_expanded) {
printf("================ Expanded Parse Tree ================\n");
print_body(Program, 0);
}
if (nerrors != 0)
exit(1);
/* Run environment analysis */
environment_analysis(Program);
if (nerrors != 0)
exit(1);
if (output_name == NULL)
output_name = make_output_name(source_name, ".dbc");
if (strcmp(output_name, "-") == 0)
file = stdout;
else
file = fopen(output_name, "wb");
if (file == NULL) {
perror(output_name);
exit(1);
}
dump_setup_output(source_name, file);
/* Generate code. */
compile(Program);
dump_finalize_output();
fclose(file);
exit(0);
return 0;
}
StrongClassifier* adaboost_learning(CascadeClassifier *cc, std::list<float *> &positiveSet, int numPos,
std::list<float *> &negativeSet, int numNeg, std::list<float *> &validateSet, std::vector<Feature *> &featureSet,
float maxfpr, float maxfnr)
{
StrongClassifier *sc = new StrongClassifier;
int width = cc->WIDTH;
int height = cc->HEIGHT;
float *weights = NULL, *values = NULL;
int sampleSize = numPos + numNeg;
int fsize = featureSet.size();
float cfpr = 1.0;
init_weights(&weights, numPos, numNeg);
values = new float[sampleSize];
memset(values, 0, sizeof(float) * sampleSize);
while(cfpr > maxfpr)
{
std::list<float *>::iterator iter;
float minError = 1, error, beta;
WeakClassifier *bestWC = NULL;
for(int i = 0; i < fsize; i++)
{
Feature *feat = new Feature;
WeakClassifier *wc = new WeakClassifier;
init_feature(feat, featureSet[i]);
init_weak_classifier(wc, 0, 0, feat);
iter = positiveSet.begin();
for(int j = 0; j < numPos; j++, iter++)
values[j] = get_value(feat, *iter, width, 0, 0);
iter = negativeSet.begin();
for(int j = 0; j < numNeg; j++, iter++)
values[j + numPos] = get_value(feat, *iter, width, 0, 0);
error = train(wc, values, numPos, numNeg, weights);
if(error < minError)
{
if(bestWC != NULL){
clear(bestWC);
bestWC = NULL;
}
bestWC = wc;
minError = error;
printf("Select best weak classifier, min error: %f\r", minError);
fflush(stdout);
}
else
delete wc;
}
assert(minError > 0);
printf("best weak classifier error = %f \n", minError);
beta = minError / (1 - minError);
int tp = 0;
iter = positiveSet.begin();
for(int i = 0; i < numPos; i++, iter++){
if(classify(bestWC, *iter, width, 0, 0) == 1){
weights[i] *= beta;
tp ++;
}
}
int tn = 0;
iter = negativeSet.begin();
for(int i = numPos; i < sampleSize; i++, iter++){
if(classify(bestWC, *iter, width, 0, 0) != 1){
weights[i] *= beta;
tn++;
}
}
update_weights(weights, numPos, numNeg);
printf("TP = %d, TN = %d, beta = %f, log(1/beta) = %f\n", tp, tn, beta, log(1/beta));
add(sc, bestWC, log(1/beta));
train(sc, positiveSet, width, maxfnr);
cfpr = fpr(sc, validateSet, width);
printf("fpr validate: %f\n", fpr(sc, validateSet, width));
printf("fpr negative: %f\n", fpr(sc, negativeSet, width));
printf("\n");
}
printf("\nWeak classifier size %ld\n", sc->wcs.size());
delete [] values;
delete [] weights;
return sc;
}