def multi_labels(label_values,ilp, files, gt, dense_gt, loops=3, weights="", repeats=1, outpath= "",
t_cache = "", p_cache = ""):
hostname = socket.gethostname()
test_folder_path = assign_path(hostname)[5]
if t_cache == "":
t_cache = test_folder_path + "/t_cache"
if p_cache == "":
filesplit = files.split(".")[-2]
filename = filesplit.split("/")[-1]
p_cache = test_folder_path + "/p_cache/" + filename
if not os.path.exists(p_cache):
os.mkdir(p_cache)
if outpath == "":
outpath = test_folder_path + "/q_data"
for n in label_values:
ilp = reduce_labels_in_ilp(ilp, n)
test(ilp, files, gt, dense_gt, n, loops, weights, repeats, outpath, t_cache, p_cache)
def multi_loops(nol, ilp, files, gt, dense_gt, labels="", weights="", repeats=1, outpath= "",
t_cache = "", p_cache = ""):
hostname = socket.gethostname()
if labels != "":
print
print "reducing labels to " + str(labels)
ilp = reduce_labels_in_ilp(ilp, labels)
test_folder_path = assign_path(hostname)[5]
if t_cache == "":
t_cache = test_folder_path + "/t_cache"
if p_cache == "":
filesplit = files.split(".")[-2]
filename = filesplit.split("/")[-1]
p_cache = test_folder_path + "/p_cache/" + filename
if not os.path.exists(p_cache):
os.mkdir(p_cache)
if outpath == "":
outpath = test_folder_path + "/q_data"
for n in range(1,nol+1):
test(ilp, files, gt, dense_gt, labels, n, weights, repeats, outpath, t_cache, p_cache)
save_h5([labels],q_data_outpath, "autocontext_parameters/#labels")
save_h5([loops], q_data_outpath, "autocontext_parameters/#loops")
save_h5([str(weight_tag)], q_data_outpath, "autocontext_parameters/weights")
print
print "quality data saved"
#save configuration data
# call(["cp", predict_path, q_outpath])
save_h5(["pmin", "minMemb", "minSeg", "sigMin", "sigWeights", "sigSmooth", "cleanCloseSeeds", "returnSeedsOnly"],
q_data_outpath, "segmentation/wsDt parameters", None)
save_h5(["edge_weights", "edgeLengths", "nodeFeatures", "nodeSizes", "nodeLabels", "nodeNumStop", "beta", "metric",
"wardness", "out"], q_data_outpath, "segmentation/agglCl parameters", None)
print
print "quality data saved"
if __name__ == '__main__':
hostname = socket.gethostname()
ilp_folder = assign_path(hostname)[1]
volumes_folder = assign_path(hostname)[2]
ilp_file = ilp_folder + "100p_cube2_t_05.ilp"
files = volumes_folder + "test_data/100p_cube1.h5/data"
gt_path = volumes_folder + "groundtruth/trimaps/100p_cube1_trimap_t_05.h5"
dense_gt_path = volumes_folder + "groundtruth/dense_groundtruth/100p_cube1_dense_gt.h5"
ilp = reduce_labels_in_ilp(ilp_file, 10000)
test(ilp, files, gt_path, dense_gt_path, 10000, 3, "", 10)
print
print "done"
