def get_info_along_ray(scene,cache,cam,u,v,prefix,identifier="") :
print("Ray Probe");
boxm2_batch.init_process("boxm2CppRayProbeProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_from_db(2,cam);
boxm2_batch.set_input_unsigned(3,u);
boxm2_batch.set_input_unsigned(4,v);
boxm2_batch.set_input_string(5,prefix);
boxm2_batch.set_input_string(6,identifier);
boxm2_batch.run_process();
(id, type) = boxm2_batch.commit_output(0);
len_array_1d = boxm2_batch.get_bbas_1d_array_float(id);
(id, type) = boxm2_batch.commit_output(1);
alpha_array_1d = boxm2_batch.get_bbas_1d_array_float(id);
(id, type) = boxm2_batch.commit_output(2);
vis_array_1d = boxm2_batch.get_bbas_1d_array_float(id);
(id, type) = boxm2_batch.commit_output(3);
tabs_array_1d = boxm2_batch.get_bbas_1d_array_float(id);
(id, type) = boxm2_batch.commit_output(4);
res_array_1d = boxm2_batch.get_bbas_1d_array_float(id);
if (prefix != "") :
(id, type) = boxm2_batch.commit_output(5);
data_array_1d = boxm2_batch.get_bbas_1d_array_float(id);
(id, type) = boxm2_batch.commit_output(6);
nelems = boxm2_batch.get_output_int(id);
return len_array_1d, alpha_array_1d, vis_array_1d ,tabs_array_1d,res_array_1d, data_array_1d, nelems;
else :
return len_array_1d, alpha_array_1d, vis_array_1d ,tabs_array_1d,res_array_1d;
def load_perspective_camera(file_path) :
boxm2_batch.init_process("vpglLoadPerspectiveCameraProcess");
boxm2_batch.set_input_string(0, file_path);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
cam = dbvalue(id,type);
return cam;
def gen_error_point_cloud(scene,cache,filename,thresh = 0.3):
boxm2_batch.init_process("boxm2ExportErrorPointCloudProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_string(2,filename); #ply filename
boxm2_batch.set_input_float(3,thresh); #prob threshold
boxm2_batch.run_process();
def load_lvcs(lvcs_filename):
boxm2_batch.init_process("vpglLoadLVCSProcess");
boxm2_batch.set_input_string(0, lvcs_filename);
boxm2_batch.run_process();
(lvcs_id, lvcs_type) = boxm2_batch.commit_output(0);
lvcs = dbvalue(lvcs_id, lvcs_type);
return lvcs;
def load_dictionary(dictionary_name):
boxm2_batch.init_process("sdetLoadTextureDictionaryProcess");
boxm2_batch.set_input_string(0,dictionary_name);
boxm2_batch.run_process();
(tclsf_id, tclsf_type)=boxm2_batch.commit_output(0);
tclsf = dbvalue(tclsf_id, tclsf_type);
return tclsf
def get_geocam_footprint(geocam, geotiff_filename, out_kml_filename,init_finish=True):
boxm2_batch.init_process('vpglGeoFootprintProcess');
boxm2_batch.set_input_from_db(0,geocam);
boxm2_batch.set_input_string(1,geotiff_filename);
boxm2_batch.set_input_string(2,out_kml_filename);
boxm2_batch.set_input_bool(3,init_finish);
boxm2_batch.run_process();
def load_eigenspace(filename):
boxm2_batch.init_process("bradLoadEigenspaceProcess");
boxm2_batch.set_input_string(0, filename);
boxm2_batch.run_process();
(eig_id,eig_type)=boxm2_batch.commit_output(0);
eig = dbvalue(eig_id, eig_type);
return eig;
def load_local_rational_camera(file_path) :
boxm2_batch.init_process("vpglLoadLocalRationalCameraProcess");
boxm2_batch.set_input_string(0, file_path);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
cam = dbvalue(id,type);
return cam;
def export_points_and_normals(
scene,
cache,
file_out,
save_aux=True,
prob_thresh=0.0,
vis_thresh=0.0,
nmag_thresh=0.0,
exp_thresh=0.0,
bbox_file="",
):
if cache.type == "boxm2_cache_sptr":
print ("Exporting to oriented point cloud")
boxm2_batch.init_process("boxm2ExportOrientedPointCloudProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_string(2, file_out)
# output aux (prob, vis, normal magnitdue)
boxm2_batch.set_input_bool(3, save_aux)
boxm2_batch.set_input_float(4, vis_thresh) # vis threshold
boxm2_batch.set_input_float(5, nmag_thresh) # nmag threshold
boxm2_batch.set_input_float(6, prob_thresh) # prob threshold
# boxm2_batch.set_input_float(7,exp_thresh); #exp threshold
# boxm2_batch.set_input_string(8, bbox_file); #bb filename
boxm2_batch.set_input_string(7, bbox_file) # bb filename
return boxm2_batch.run_process()
else:
print "ERROR: Cache type not recognized: ", cache.type
return False
def import_triangle_mesh(scene, cache, ply_filename, occupied_prob=0.99):
boxm2_batch.init_process("boxm2ImportTriangleMeshProcess")
boxm2_batch.set_input_from_db(0,scene)
boxm2_batch.set_input_from_db(1,cache)
boxm2_batch.set_input_string(2,ply_filename)
boxm2_batch.set_input_float(3,occupied_prob)
boxm2_batch.run_process()
def load_projective_camera(file_path):
boxm2_batch.init_process("vpglLoadProjCameraProcess")
boxm2_batch.set_input_string(0, file_path)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
cam = dbvalue(id, type)
return cam
def load_rational_camera_nitf(file_path):
boxm2_batch.init_process("vpglLoadRationalCameraNITFProcess")
boxm2_batch.set_input_string(0, file_path)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
cam = dbvalue(id, type)
return cam
def load_image_metadata(filename):
boxm2_batch.init_process("bradLoadImageMetadataProcess")
boxm2_batch.set_input_string(0,filename)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
mdata = dbvalue(id,type)
return mdata
def load_joint_hist3d(filename):
boxm2_batch.init_process("bstaLoadJointHist3dProcess");
boxm2_batch.set_input_string(0,filename);
boxm2_batch.run_process();
(h_id,h_type) = boxm2_batch.commit_output(0);
h = dbvalue(h_id, h_type);
return h
def interpolate_perspective_cameras(cam0,cam1,ncams,outdir):
boxm2_batch.init_process("vpglInterpolatePerspectiveCamerasProcess");
boxm2_batch.set_input_from_db(0, cam0);
boxm2_batch.set_input_from_db(1, cam1);
boxm2_batch.set_input_unsigned(2, ncams);
boxm2_batch.set_input_string(3, outdir);
return boxm2_batch.run_process();
def load_atmospheric_parameters(filename):
boxm2_batch.init_process("bradLoadAtmosphericParametersProcess")
boxm2_batch.set_input_string(0,filename)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
atm_params = dbvalue(id,type)
return atm_params
def texture_classifier_kernel_margin(dictionary):
boxm2_batch.init_process("sdetTextureClassifierKernelMarginProcess");
boxm2_batch.set_input_string(0,dictionary);
boxm2_batch.run_process();
(m_id, m_type) = boxm2_batch.commit_output(0);
margin = boxm2_batch.get_output_int(m_id);
return margin;
def import_point_cloud(scene,cache,in_file,min_octree_depth=2):
boxm2_batch.init_process("boxm2ImportPointCloudProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_string(2,in_file);
boxm2_batch.set_input_unsigned(3, min_octree_depth)
boxm2_batch.run_process();
def load_mesh(filename):
boxm2_batch.init_process("boxm2LoadMeshProcess");
boxm2_batch.set_input_string(0,filename);
boxm2_batch.run_process();
(id, type) = boxm2_batch.commit_output(0);
mesh = dbvalue(id, type);
return mesh;
def load_classifier(classifier_name):
boxm2_batch.init_process("sdetLoadTextureClassifierProcess");
boxm2_batch.set_input_string(0,classifier_name);
boxm2_batch.run_process();
(tclsf_id, tclsf_type)=boxm2_batch.commit_output(0);
tclsf = dbvalue(tclsf_id, tclsf_type);
return tclsf
def export_stack(scene,cache,outdir,identifier):
boxm2_batch.init_process("boxm2ExportStackImagesProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_string(2,outdir);
boxm2_batch.set_input_string(3,identifier);
boxm2_batch.run_process();
def export_stack(scene,cache,outdir,isopacityonly= True):
boxm2_batch.init_process("boxm2ExportStackImagesProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_string(2,outdir);
boxm2_batch.set_input_bool(3,isopacityonly);
boxm2_batch.run_process();
def paint_mesh(scene,cache,in_file,out_file):
boxm2_batch.init_process("boxm2PaintMeshProcess");
boxm2_batch.set_input_from_db(0,scene);
boxm2_batch.set_input_from_db(1,cache);
boxm2_batch.set_input_string(2,in_file);
boxm2_batch.set_input_string(3,out_file);
boxm2_batch.run_process();
def read_nitf_metadata(nitf_filename, imd_folder=""):
boxm2_batch.init_process("bradNITFReadMetadataProcess")
boxm2_batch.set_input_string(0, nitf_filename) # requires full path and name
boxm2_batch.set_input_string(1, imd_folder) # pass empty if meta is in img folder
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
meta = dbvalue(id, type)
return meta
def create_local_rational_camera(rational_cam_fname, lvcs_fname):
boxm2_batch.init_process('vpglCreateLocalRationalCameraProcess')
boxm2_batch.set_input_string(0, rational_cam_fname)
boxm2_batch.set_input_string(1, lvcs_fname)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
cam = dbvalue(id, type)
return cam
def update_cpp(scene, cache, cam, img, ident=""):
boxm2_batch.init_process("boxm2CppUpdateImageProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_from_db(2, cam)
boxm2_batch.set_input_from_db(3, img)
boxm2_batch.set_input_string(4, ident)
boxm2_batch.run_process()
def convert_image(img, type="byte"):
boxm2_batch.init_process("vilConvertPixelTypeProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_string(1, type)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
cimg = dbvalue(id, type)
return cimg
def find_sun_dir_bin(metadata, output_file):
boxm2_batch.init_process("bradSunDirBinProcess")
boxm2_batch.set_input_from_db(0, metadata)
boxm2_batch.set_input_string(1, output_file)
boxm2_batch.run_process()
(bin_id, bin_type) = boxm2_batch.commit_output(0)
bin = boxm2_batch.get_output_int(bin_id)
return bin
def save_lvcs(lat,lon,hae,lvcs_filename):
boxm2_batch.init_process("vpglSaveLVCSProcess")
boxm2_batch.set_input_float(0,lat)
boxm2_batch.set_input_float(1,lon)
boxm2_batch.set_input_float(2,hae)
boxm2_batch.set_input_string(3,lvcs_filename)
boxm2_batch.run_process()
return
def load_scene(scene_str):
print("Loading a Scene from file: ", scene_str)
boxm2_batch.init_process("boxm2LoadSceneProcess")
boxm2_batch.set_input_string(0, scene_str)
boxm2_batch.run_process()
(scene_id, scene_type) = boxm2_batch.commit_output(0)
scene = dbvalue(scene_id, scene_type)
return scene
def texture_classifier_kernel_margin(dictionary):
boxm2_batch.init_process("sdetTextureClassifierKernelMarginProcess")
boxm2_batch.set_input_string(0, dictionary)
boxm2_batch.run_process()
(m_id, m_type) = boxm2_batch.commit_output(0)
margin = boxm2_batch.get_output_int(m_id)
boxm2_batch.remove_data(m_id)
return margin
def find_sun_dir_bin(metadata, output_file):
boxm2_batch.init_process("bradSunDirBinProcess")
boxm2_batch.set_input_from_db(0, metadata)
boxm2_batch.set_input_string(1, output_file)
boxm2_batch.run_process()
(bin_id, bin_type) = boxm2_batch.commit_output(0)
bin = boxm2_batch.get_output_int(bin_id)
return bin
def sun_dir_bin(meta, illum_bin_filename):
boxm2_batch.init_process("bradSunDirBinProcess")
boxm2_batch.set_input_from_db(0, meta)
boxm2_batch.set_input_string(1, illum_bin_filename)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
bin = boxm2_batch.get_output_int(id)
return bin
def convert_image(img, type="byte"):
boxm2_batch.init_process("vilConvertPixelTypeProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_string(1, type)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
cimg = dbvalue(id, type)
return cimg
def create_local_rational_camera(rational_cam_fname, lvcs_fname):
boxm2_batch.init_process('vpglCreateLocalRationalCameraProcess');
boxm2_batch.set_input_string(0,rational_cam_fname);
boxm2_batch.set_input_string(1,lvcs_fname);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
cam = dbvalue(id,type);
return cam;
def create_and_save_lvcs(lat, lon, elev, cs_name, lvcs_filename):
boxm2_batch.init_process("vpglCreateAndSaveLVCSProcess");
boxm2_batch.set_input_float(0, lat);
boxm2_batch.set_input_float(1, lon);
boxm2_batch.set_input_float(2, elev);
boxm2_batch.set_input_string(3, cs_name);
boxm2_batch.set_input_string(4, lvcs_filename);
return bvxm_batch.run_process();
def save_lvcs(lat,lon,hae,lvcs_filename):
boxm2_batch.init_process("vpglSaveLVCSProcess");
boxm2_batch.set_input_float(0,lat);
boxm2_batch.set_input_float(1,lon);
boxm2_batch.set_input_float(2,hae);
boxm2_batch.set_input_string(3,lvcs_filename);
boxm2_batch.run_process();
return;
def create_and_save_lvcs(lat, lon, elev, cs_name, lvcs_filename):
boxm2_batch.init_process("vpglCreateAndSaveLVCSProcess")
boxm2_batch.set_input_float(0, lat)
boxm2_batch.set_input_float(1, lon)
boxm2_batch.set_input_float(2, elev)
boxm2_batch.set_input_string(3, cs_name)
boxm2_batch.set_input_string(4, lvcs_filename)
return bvxm_batch.run_process()
def load_affine_camera(file_path, viewing_dist=1000):
boxm2_batch.init_process("vpglLoadAffineCameraProcess")
boxm2_batch.set_input_string(0, file_path)
boxm2_batch.set_input_double(1, viewing_dist)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
cam = dbvalue(id, type)
return cam
def sun_dir_bin(meta,illum_bin_filename):
boxm2_batch.init_process("bradSunDirBinProcess");
boxm2_batch.set_input_from_db(0,meta);
boxm2_batch.set_input_string(1,illum_bin_filename);
boxm2_batch.run_process();
(id,type)=boxm2_batch.commit_output(0);
bin = boxm2_batch.get_output_int(id);
return bin;
def load_geotiff_cam2(filename, ni, nj):
boxm2_batch.init_process("vpglLoadGeoCameraProcess2")
boxm2_batch.set_input_string(0, filename)
boxm2_batch.set_input_unsigned(1, ni)
boxm2_batch.set_input_unsigned(2, nj)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def query_cell_brdf(scene, cache, point, model_type):
boxm2_batch.init_process("boxm2CppQueryCellBrdfProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_float(2, point[0])
boxm2_batch.set_input_float(3, point[1])
boxm2_batch.set_input_float(4, point[2])
boxm2_batch.set_input_string(5, model_type)
boxm2_batch.run_process()
def gen_error_point_cloud(scene, cache, filename, thresh=0.3):
boxm2_batch.init_process("boxm2ExportErrorPointCloudProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_string(2, filename)
#ply filename
boxm2_batch.set_input_float(3, thresh)
#prob threshold
boxm2_batch.run_process()
def bae_raw_stream(file_path):
boxm2_batch.init_process("bilCreateRawImageIstreamProcess")
boxm2_batch.set_input_string(0, file_path)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
stream = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
numImgs = boxm2_batch.get_output_int(id)
return stream, numImgs
def undistort_image(img, param_file, iters):
boxm2_batch.init_process("vilUndistortImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_string(1, param_file)
boxm2_batch.set_input_int(2, iters)
boxm2_batch.run_process()
(o_id, o_type) = boxm2_batch.commit_output(0)
out_img = dbvalue(o_id, o_type)
return out_img
def binary_img_op(img1, img2, operation="sum"):
boxm2_batch.init_process("vilBinaryImageOpProcess")
boxm2_batch.set_input_from_db(0, img1)
boxm2_batch.set_input_from_db(1, img2)
boxm2_batch.set_input_string(2, operation)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
out = dbvalue(id, type)
return out
def update_with_quality(scene, cache, cam, img, q_img, identifier=""):
boxm2_batch.init_process("boxm2CppUpdateUsingQualityProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cache)
boxm2_batch.set_input_from_db(2, cam)
boxm2_batch.set_input_from_db(3, img)
boxm2_batch.set_input_from_db(4, q_img)
boxm2_batch.set_input_string(5, identifier)
boxm2_batch.run_process()
def load_geotiff_from_header(filename, lvcs=0):
boxm2_batch.init_process("vpglLoadGeotiffCamFromHeaderProcess")
boxm2_batch.set_input_string(0, filename)
if lvcs != 0:
boxm2_batch.set_input_from_db(1, lvcs)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def load_rational_camera(file_path):
boxm2_batch.init_process("vpglLoadRationalCameraProcess")
boxm2_batch.set_input_string(0, file_path)
status = boxm2_batch.run_process()
cam = None
if status:
(id, type) = boxm2_batch.commit_output(0)
cam = dbvalue(id, type)
return status, cam
def load_image_metadata(filename):
boxm2_batch.init_process("bradLoadImageMetadataProcess")
boxm2_batch.set_input_string(0, filename)
status = boxm2_batch.run_process()
mdata = None
if status:
(id, type) = boxm2_batch.commit_output(0)
mdata = dbvalue(id, type)
return mdata
def texture_classifier(tcl, dictionary, img, block_size=64):
boxm2_batch.init_process("sdetTextureClassifierProcess")
boxm2_batch.set_input_from_db(0, tcl)
boxm2_batch.set_input_string(1, dictionary)
boxm2_batch.set_input_from_db(2, img)
boxm2_batch.set_input_unsigned(3, block_size) # size of blocks
boxm2_batch.run_process()
(img_id, img_type) = boxm2_batch.commit_output(0)
img_classified = dbvalue(img_id, img_type)
return img_classified
def write_perspective_cam_vrml(vrml_filename, pcam, camera_rad, axis_length, r, g, b):
boxm2_batch.init_process("bvrmlWritePerspectiveCamProcess");
boxm2_batch.set_input_string(0,vrml_filename);
boxm2_batch.set_input_from_db(1,pcam);
boxm2_batch.set_input_float(2,camera_rad);
boxm2_batch.set_input_float(3,axis_length);
boxm2_batch.set_input_float(4,r);
boxm2_batch.set_input_float(5,g);
boxm2_batch.set_input_float(6,b);
boxm2_batch.run_process();
def stretch_image(img, min_value, max_value, output_type_str='float'):
boxm2_batch.init_process("vilStretchImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_value)
boxm2_batch.set_input_float(2, max_value)
boxm2_batch.set_input_string(3, output_type_str)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
def resize(img, ni, nj, pixel="float"):
boxm2_batch.init_process("vilResampleProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, ni)
boxm2_batch.set_input_int(2, nj)
boxm2_batch.set_input_string(3, pixel)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img = dbvalue(id, type)
return img
def load_geotiff_cam(tfw_filename, lvcs, utm_zone, utm_hemisphere):
boxm2_batch.init_process("vpglLoadGeoCameraProcess")
boxm2_batch.set_input_string(0, tfw_filename)
boxm2_batch.set_input_from_db(1, lvcs)
boxm2_batch.set_input_int(2, utm_zone)
boxm2_batch.set_input_unsigned(3, utm_hemisphere)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def read_nitf_metadata(nitf_filename, imd_folder=""):
boxm2_batch.init_process("bradNITFReadMetadataProcess")
boxm2_batch.set_input_string(0,
nitf_filename) # requires full path and name
boxm2_batch.set_input_string(
1, imd_folder) # pass empty if meta is in img folder
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
meta = dbvalue(id, type)
return meta
def gen_mesh(z_img,x_img,y_img,out_dir):
boxm2_batch.init_process("boxm2ExportMeshProcess");
boxm2_batch.set_input_from_db(0,z_img);
boxm2_batch.set_input_from_db(1,x_img);
boxm2_batch.set_input_from_db(2,y_img);
boxm2_batch.set_input_string(3,out_dir);
boxm2_batch.run_process();
(id, type) = boxm2_batch.commit_output(0);
mesh = dbvalue(id, type);
return mesh;
def create_lvcs(lat, lon, el, csname):
boxm2_batch.init_process('vpglCreateLVCSProcess')
boxm2_batch.set_input_float(0, lat)
boxm2_batch.set_input_float(1, lon)
boxm2_batch.set_input_float(2, el)
boxm2_batch.set_input_string(3, csname)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
lvcs = dbvalue(id, type)
return lvcs
def get_geocam_footprint(geocam,
geotiff_filename,
out_kml_filename,
init_finish=True):
boxm2_batch.init_process('vpglGeoFootprintProcess')
boxm2_batch.set_input_from_db(0, geocam)
boxm2_batch.set_input_string(1, geotiff_filename)
boxm2_batch.set_input_string(2, out_kml_filename)
boxm2_batch.set_input_bool(3, init_finish)
boxm2_batch.run_process()
def sun_angles(image_path):
boxm2_batch.init_process('bbasSunAnglesProcess')
boxm2_batch.set_input_string(0, image_path)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
sun_el = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(1)
sun_az = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return (sun_az, sun_el)
