def texture_training(tclsf, image, exp_poly_path,texton_dict_path, name_of_category="mod", compute_textons=True):
boxm2_batch.init_process("sdetTextureTrainingProcess");
boxm2_batch.set_input_from_db(0,tclsf);
boxm2_batch.set_input_bool(1,compute_textons);# compute textons
boxm2_batch.set_input_from_db(2,image);
boxm2_batch.set_input_string(3,exp_poly_path);
boxm2_batch.set_input_string(4,name_of_category);
boxm2_batch.set_input_string(5,texton_dict_path);
boxm2_batch.run_process();
# write out the texton dictionary on finish
boxm2_batch.finish_process();
def train_classifier(tclsf, poly_file, category_name, dictionary_name, compute_category_textons, finish_and_write_dictionary):
boxm2_batch.init_process("sdetTextureTrainingProcess2");
boxm2_batch.set_input_from_db(0,tclsf);
if compute_category_textons:
boxm2_batch.set_input_bool(1,1); # compute the textons if this is the last polygon file for the category
else:
boxm2_batch.set_input_bool(1,0);
boxm2_batch.set_input_string(2, poly_file);
boxm2_batch.set_input_string(3, category_name);
boxm2_batch.set_input_string(4, dictionary_name);
boxm2_batch.run_process();
(tclsf_id, tclsf_type)=boxm2_batch.commit_output(0);
tclsf = dbvalue(tclsf_id, tclsf_type);
if finish_and_write_dictionary:
boxm2_batch.finish_process();
return tclsf
def texture_training(tclsf,
image,
exp_poly_path,
texton_dict_path,
name_of_category="mod",
compute_textons=True):
boxm2_batch.init_process("sdetTextureTrainingProcess")
boxm2_batch.set_input_from_db(0, tclsf)
boxm2_batch.set_input_bool(1, compute_textons) # compute textons
boxm2_batch.set_input_from_db(2, image)
boxm2_batch.set_input_string(3, exp_poly_path)
boxm2_batch.set_input_string(4, name_of_category)
boxm2_batch.set_input_string(5, texton_dict_path)
boxm2_batch.run_process()
# write out the texton dictionary on finish
boxm2_batch.finish_process()
