def crop_ortho_image_using_3d_box(img_res, camera, lower_left_lon, lower_left_lat, lower_left_elev, upper_right_lon, upper_right_lat, upper_right_elev):
bvxm_batch.init_process("vpglCropOrthoUsing3DboxPRocess")
bvxm_batch.set_input_from_db(0, img_res);
bvxm_batch.set_input_from_db(1, camera);
bvxm_batch.set_input_double(2, lower_left_lon);
bvxm_batch.set_input_double(3, lower_left_lat);
bvxm_batch.set_input_double(4, lower_left_elev);
bvxm_batch.set_input_double(5, upper_right_lon);
bvxm_batch.set_input_double(6, upper_right_lat);
bvxm_batch.set_input_double(7, upper_right_elev);
status = bvxm_batch.run_process();
if status:
(id, type) = bvxm_batch.commit_output(0);
local_geo_cam = dbvalue(id, type);
(id, type) = bvxm_batch.commit_output(1);
i0 = bvxm_batch.get_output_unsigned(id)
(id, type) = bvxm_batch.commit_output(2);
j0 = bvxm_batch.get_output_unsigned(id)
(id, type) = bvxm_batch.commit_output(3);
ni = bvxm_batch.get_output_unsigned(id)
(id, type) = bvxm_batch.commit_output(4);
nj = bvxm_batch.get_output_unsigned(id)
return status, local_geo_cam, i0, j0, ni, nj;
else:
return status, dbvalue(0, ""), 0, 0, 0, 0;
def convert_local_rational_perspective_camera(local_cam) :
bvxm_batch.init_process("vpglConvertLocalRationalToPerspectiveProcess");
bvxm_batch.set_input_from_db(0, local_cam);
bvxm_batch.run_process();
(id,type) = bvxm_batch.commit_output(0);
cam = dbvalue(id,type);
return cam;
def get_image_coverage(mdata):
bvxm_batch.init_process("bradGetImageCoverageProcess")
bvxm_batch.set_input_from_db(0, mdata)
status = bvxm_batch.run_process()
if status:
(id, type) = bvxm_batch.commit_output(0)
ll_lon = bvxm_batch.get_output_double(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(1)
ll_lat = bvxm_batch.get_output_double(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(2)
ll_elev = bvxm_batch.get_output_double(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(3)
ur_lon = bvxm_batch.get_output_double(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(4)
ur_lat = bvxm_batch.get_output_double(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(5)
ur_elev = bvxm_batch.get_output_double(id)
bvxm_batch.remove_data(id)
return ll_lon, ll_lat, ll_elev, ur_lon, ur_lat, ur_elev
else:
return 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
def model_dir(scene):
bvxm_batch.init_process("bvxmSceneModelDirProcess");
bvxm_batch.set_input_from_db(0, scene);
bvxm_batch.run_process();
(id, type) = bvxm_batch.commit_output(0);
model_dir = bvxm_batch.get_output_string(id);
return model_dir;
def get_geocam_footprint(geocam, geotiff_filename, out_kml_filename,init_finish=True):
bvxm_batch.init_process('vpglGeoFootprintProcess');
bvxm_batch.set_input_from_db(0,geocam);
bvxm_batch.set_input_string(1,geotiff_filename);
bvxm_batch.set_input_string(2,out_kml_filename);
bvxm_batch.set_input_bool(3,init_finish);
bvxm_batch.run_process();
def map_sdet_to_volm_ids(sdet_color_class_img):
bvxm_batch.init_process("volmGenerateClassMapProcess");
bvxm_batch.set_input_from_db(0,sdet_color_class_img);
bvxm_batch.run_process();
(id, type) = bvxm_batch.commit_output(0);
out_img = dbvalue(id, type);
return out_img
def test_classifier_clouds2(tclsf, dictionary_name, image_resource, i, j, width, height, block_size, percent_cat_name, category_id_file=""):
bvxm_batch.init_process("sdetTextureClassifySatelliteCloudsProcess2")
bvxm_batch.set_input_from_db(0, tclsf)
bvxm_batch.set_input_string(1, dictionary_name)
bvxm_batch.set_input_from_db(2, image_resource)
bvxm_batch.set_input_unsigned(3, i)
bvxm_batch.set_input_unsigned(4, j)
bvxm_batch.set_input_unsigned(5, width)
bvxm_batch.set_input_unsigned(6, height)
bvxm_batch.set_input_unsigned(7, block_size)
bvxm_batch.set_input_string(8, category_id_file)
bvxm_batch.set_input_string(9, percent_cat_name)
status = bvxm_batch.run_process()
if status:
(out_id, out_type) = bvxm_batch.commit_output(0)
out_crop = dbvalue(out_id, out_type)
(out_id, out_type) = bvxm_batch.commit_output(1)
out_id_map = dbvalue(out_id, out_type)
(out_id, out_type) = bvxm_batch.commit_output(2)
out_rgb_map = dbvalue(out_id, out_type)
(out_id, out_type) = bvxm_batch.commit_output(3)
percent = bvxm_batch.get_output_float(out_id)
bvxm_batch.remove_data(out_id)
return out_crop, out_id_map, out_rgb_map, percent
else:
return 0, 0, 0, 100
def generate_roc3(tclsf, in_prob_img, prefix_for_bin_files, positive_category_name):
bvxm_batch.init_process("sdetTextureClassifierROCProcess3")
bvxm_batch.set_input_from_db(0, tclsf)
bvxm_batch.set_input_from_db(1, in_prob_img)
bvxm_batch.set_input_string(2, prefix_for_bin_files)
bvxm_batch.set_input_string(3, positive_category_name)
status = bvxm_batch.run_process()
if status:
(id, type) = bvxm_batch.commit_output(0)
thres = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(1)
tp = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(2)
tn = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(3)
fp = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(4)
fn = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(5)
tpr = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(6)
fpr = bvxm_batch.get_bbas_1d_array_float(id)
return thres, tp, tn, fp, fn, tpr, fpr
else:
return None, None, None, None, None, None, None
def create_ortho_camera(world):
bvxm_batch.init_process("bvxmCreateOrthoCameraProcess");
bvxm_batch.set_input_from_db(0,world);
bvxm_batch.run_process();
(id, type) = bvxm_batch.commit_output(0);
ortho_cam = dbvalue(id, type);
return ortho_cam
def save_occupancy_raw(world, filename, app_model, scale=0):
bvxm_batch.init_process("bvxmSaveOccupancyRawProcess");
bvxm_batch.set_input_from_db(0,world);
bvxm_batch.set_input_string(1,filename);
bvxm_batch.set_input_unsigned(2, scale);
bvxm_batch.set_input_string(3, app_model);
bvxm_batch.run_process();
def interpolate_perspective_cameras(cam0,cam1,ncams,outdir):
bvxm_batch.init_process("vpglInterpolatePerspectiveCamerasProcess");
bvxm_batch.set_input_from_db(0, cam0);
bvxm_batch.set_input_from_db(1, cam1);
bvxm_batch.set_input_unsigned(2, ncams);
bvxm_batch.set_input_string(3, outdir);
return bvxm_batch.run_process();
def get_metadata_info(mdata):
bvxm_batch.init_process("bradGetMetaDataInfoProcess")
bvxm_batch.set_input_from_db(0, mdata)
bvxm_batch.run_process()
(id,type) = bvxm_batch.commit_output(0)
sun_az = bvxm_batch.get_output_float(id)
bvxm_batch.remove_data(id)
(id,type) = bvxm_batch.commit_output(1)
sun_el = bvxm_batch.get_output_float(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(2)
year = bvxm_batch.get_output_int(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(3)
month = bvxm_batch.get_output_int(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(4)
day = bvxm_batch.get_output_int(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(5)
hour = bvxm_batch.get_output_int(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(6)
minutes = bvxm_batch.get_output_int(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(7)
seconds = bvxm_batch.get_output_int(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(8)
gsd = bvxm_batch.get_output_float(id)
bvxm_batch.remove_data(id)
(id, type) = bvxm_batch.commit_output(9)
sat_name = bvxm_batch.get_output_string(id)
bvxm_batch.remove_data(id)
return sun_az, sun_el, year, month, day, hour, minutes, seconds, gsd, sat_name
def add_to_filter_bank(tclsf, img_name, plane, filter_folder):
bvxm_batch.init_process("sdetAddtoFilterBankProcess");
bvxm_batch.set_input_from_db(0,tclsf); # classifier instance
bvxm_batch.set_input_string(1,img_name);
bvxm_batch.set_input_unsigned(2,plane); ## pass which plane to extract the gauss response from
bvxm_batch.set_input_string(3,filter_folder);
bvxm_batch.run_process();
def region_wise_roc_analysis(in_img, in_cam, positive_kml, negative_kml):
bvxm_batch.init_process("volmDetectionRateROCProcess")
bvxm_batch.set_input_from_db(0, in_img)
bvxm_batch.set_input_from_db(1, in_cam)
bvxm_batch.set_input_string(2, positive_kml)
bvxm_batch.set_input_string(3, negative_kml)
status = bvxm_batch.run_process()
if status:
(id, type) = bvxm_batch.commit_output(0)
thres_out = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(1)
tp = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(2)
tn = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(3)
fp = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(4)
fn = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(5)
tpr = bvxm_batch.get_bbas_1d_array_float(id)
(id, type) = bvxm_batch.commit_output(6)
fpr = bvxm_batch.get_bbas_1d_array_float(id)
return thres_out, tp, tn, fp, fn, tpr, fpr
else:
return None, None, None, None, None, None, None
def correct_ransac_process(res, cor_file, output_folder, pixel_radius):
bvxm_batch.init_process("volmCorrectRationalCamerasRANSACProcess");
bvxm_batch.set_input_from_db(0, res);
bvxm_batch.set_input_string(1, cor_file);
bvxm_batch.set_input_string(2, output_folder);
bvxm_batch.set_input_float(3, pixel_radius); ## pixel radius to count for inliers
bvxm_batch.run_process();
def volm_id_color_img(id_img, id_to_color_txt=""):
bvxm_batch.init_process("volmGenerateColorClassMapProcess")
bvxm_batch.set_input_from_db(0,id_img);
bvxm_batch.set_input_string(1,id_to_color_txt)
bvxm_batch.run_process();
(id, type) = bvxm_batch.commit_output(0);
out_img = dbvalue(id, type);
return out_img;
def create_ortho_camera(world, is_utm=False):
bvxm_batch.init_process("bvxmCreateOrthoCameraProcess")
bvxm_batch.set_input_from_db(0, world)
bvxm_batch.set_input_bool(1, is_utm)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
ortho_cam = dbvalue(id, type)
return ortho_cam
def radiometrically_calibrate(cropped_image, meta):
bvxm_batch.init_process("bradNITFAbsRadiometricCalibrationProcess")
bvxm_batch.set_input_from_db(0, cropped_image)
bvxm_batch.set_input_from_db(1, meta)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
cropped_img_cal = dbvalue(id, type)
return cropped_img_cal
def create_ortho_camera(world, is_utm=False):
bvxm_batch.init_process("bvxmCreateOrthoCameraProcess")
bvxm_batch.set_input_from_db(0, world)
bvxm_batch.set_input_bool(1, is_utm)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
ortho_cam = dbvalue(id, type)
return ortho_cam
def correct_ransac_process(res, cor_file, output_folder, pixel_radius):
bvxm_batch.init_process("volmCorrectRationalCamerasRANSACProcess")
bvxm_batch.set_input_from_db(0, res)
bvxm_batch.set_input_string(1, cor_file)
bvxm_batch.set_input_string(2, output_folder)
bvxm_batch.set_input_float(3, pixel_radius)
## pixel radius to count for inliers
bvxm_batch.run_process()
def truncate_nitf_image(img, is_short = True):
bvxm_batch.init_process("bripTruncateNITFBitProcess");
bvxm_batch.set_input_from_db(0, img);
bvxm_batch.set_input_bool(1, is_short);
bvxm_batch.run_process();
(id, type) = bvxm_batch.commit_output(0);
out_img = dbvalue(id, type);
return out_img;
def find_seed_sat_resources(res, poly_kml, downsample_factor, sat_res_file):
bvxm_batch.init_process("volmFindOverlappingSatResourcesProcess")
bvxm_batch.set_input_from_db(0,res); # satellite resource
bvxm_batch.set_input_string(1,poly_kml); # kml polygon filename
bvxm_batch.set_input_float(2,downsample_factor); # factor by which to downsample resource footprints when
# computing the raster (smaller factor takes more time & memory)
bvxm_batch.set_input_string(3,sat_res_file); # output file to print the list (this will also save a kml version)
bvxm_batch.run_process();
def add_responses_to_filter_bank(tclsf, img_name, img, filter_folder, filter_name):
bvxm_batch.init_process("sdetAddResponsestoFilterBankProcess");
bvxm_batch.set_input_from_db(0,tclsf); # classifier instance
bvxm_batch.set_input_string(1,img_name);
bvxm_batch.set_input_from_db(2,img);
bvxm_batch.set_input_string(3,filter_folder);
bvxm_batch.set_input_string(4,filter_name); ## pass a unique name to be used to write to filter_folder
bvxm_batch.run_process();
def find_sun_dir_bin(metadata, output_file):
bvxm_batch.init_process("bradSunDirBinProcess")
bvxm_batch.set_input_from_db(0, metadata)
bvxm_batch.set_input_string(1, output_file)
bvxm_batch.run_process()
(bin_id, bin_type) = bvxm_batch.commit_output(0)
bin = bvxm_batch.get_output_int(bin_id)
return bin
def volm_id_color_img(id_img, id_to_color_txt=""):
bvxm_batch.init_process("volmGenerateColorClassMapProcess")
bvxm_batch.set_input_from_db(0, id_img)
bvxm_batch.set_input_string(1, id_to_color_txt)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out_img = dbvalue(id, type)
return out_img
def bvxm_detect_edges(cropped_image, edge_params_xml):
bvxm_batch.init_process("bvxmDetectEdgesProcess");
bvxm_batch.set_input_from_db(0,cropped_image);
bvxm_batch.set_params_process(edge_params_xml);
bvxm_batch.run_process();
(cropped_edge_image_id,cropped_edge_image) = bvxm_batch.commit_output(0);
cropped_edge_image = dbvalue(cropped_edge_image_id,cropped_edge_image);
return cropped_edge_image
def find_sun_dir_bin(metadata, output_file):
bvxm_batch.init_process("bradSunDirBinProcess");
bvxm_batch.set_input_from_db(0,metadata)
bvxm_batch.set_input_string(1,output_file);
bvxm_batch.run_process();
(bin_id,bin_type)=bvxm_batch.commit_output(0);
bin = bvxm_batch.get_output_int(bin_id);
return bin
def get_cloud_coverage(mdata):
bvxm_batch.init_process("bradGetCloudCoverageProcess")
bvxm_batch.set_input_from_db(0, mdata)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
cloud_coverage = bvxm_batch.get_output_float(id)
bvxm_batch.remove_data(id)
return cloud_coverage
def bvxm_detect_edges(cropped_image, edge_params_xml):
bvxm_batch.init_process("bvxmDetectEdgesProcess")
bvxm_batch.set_input_from_db(0, cropped_image)
bvxm_batch.set_params_process(edge_params_xml)
bvxm_batch.run_process()
(cropped_edge_image_id, cropped_edge_image) = bvxm_batch.commit_output(0)
cropped_edge_image = dbvalue(cropped_edge_image_id, cropped_edge_image)
return cropped_edge_image
def add_to_filter_bank(tclsf, img_name, plane, filter_folder):
bvxm_batch.init_process("sdetAddtoFilterBankProcess")
bvxm_batch.set_input_from_db(0, tclsf)
# classifier instance
bvxm_batch.set_input_string(1, img_name)
bvxm_batch.set_input_unsigned(2, plane)
## pass which plane to extract the gauss response from
bvxm_batch.set_input_string(3, filter_folder)
bvxm_batch.run_process()
def get_full_path(res, name):
bvxm_batch.init_process("volmGetFullPathProcess");
bvxm_batch.set_input_from_db(0,res);
bvxm_batch.set_input_string(1,name);
statuscode=bvxm_batch.run_process();
(f_id, f_type) = bvxm_batch.commit_output(0);
full_path = bvxm_batch.get_output_string(f_id);
bvxm_batch.remove_data(f_id);
return full_path
def translate_geo_camera(geocam, x, y):
bvxm_batch.init_process("vpglTranslateGeoCameraProcess");
bvxm_batch.set_input_from_db(0, geocam);
bvxm_batch.set_input_double(1, x);
bvxm_batch.set_input_double(2, y);
bvxm_batch.run_process();
(c_id, c_type) = bvxm_batch.commit_output(0);
cam = dbvalue(c_id, c_type);
return cam;
def correct_rational_camera(cam_in, offset_x, offset_y):
bvxm_batch.init_process('vpglCorrectRationalCameraProcess');
bvxm_batch.set_input_from_db(0,cam_in);
bvxm_batch.set_input_double(1,offset_x);
bvxm_batch.set_input_double(2,offset_y);
bvxm_batch.run_process();
(id,type) = bvxm_batch.commit_output(0);
corrected_cam = dbvalue(id,type);
return corrected_cam;
def rotate_perspective_camera(cam_in, theta, phi):
bvxm_batch.init_process('vpglRotatePerspCamProcess');
bvxm_batch.set_input_from_db(0,cam_in);
bvxm_batch.set_input_float(1,theta);
bvxm_batch.set_input_float(2,phi);
bvxm_batch.run_process();
(id,type) = bvxm_batch.commit_output(0);
rot_cam = dbvalue(id,type);
return rot_cam;
def truncate_nitf_image(img, is_byte=True, is_scale=False):
bvxm_batch.init_process("bripTruncateNITFBitProcess")
bvxm_batch.set_input_from_db(0, img)
bvxm_batch.set_input_bool(1, is_byte)
bvxm_batch.set_input_bool(2, is_scale)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out_img = dbvalue(id, type)
return out_img
def translate_geo_camera(geocam, x, y):
bvxm_batch.init_process("vpglTranslateGeoCameraProcess")
bvxm_batch.set_input_from_db(0, geocam)
bvxm_batch.set_input_double(1, x)
bvxm_batch.set_input_double(2, y)
bvxm_batch.run_process()
(c_id, c_type) = bvxm_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def load_geotiff_from_header(filename, lvcs=0):
bvxm_batch.init_process("vpglLoadGeotiffCamFromHeaderProcess");
bvxm_batch.set_input_string(0, filename);
if lvcs != 0:
bvxm_batch.set_input_from_db(1, lvcs);
bvxm_batch.run_process();
(c_id,c_type) = bvxm_batch.commit_output(0);
cam = dbvalue(c_id,c_type);
return cam;
def correct_rational_camera(cam_in, offset_x, offset_y):
bvxm_batch.init_process('vpglCorrectRationalCameraProcess')
bvxm_batch.set_input_from_db(0, cam_in)
bvxm_batch.set_input_double(1, offset_x)
bvxm_batch.set_input_double(2, offset_y)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
corrected_cam = dbvalue(id, type)
return corrected_cam
def rotate_perspective_camera(cam_in, theta, phi):
bvxm_batch.init_process('vpglRotatePerspCamProcess')
bvxm_batch.set_input_from_db(0, cam_in)
bvxm_batch.set_input_float(1, theta)
bvxm_batch.set_input_float(2, phi)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
rot_cam = dbvalue(id, type)
return rot_cam
def load_geotiff_from_header(filename, lvcs=0):
bvxm_batch.init_process("vpglLoadGeotiffCamFromHeaderProcess")
bvxm_batch.set_input_string(0, filename)
if lvcs != 0:
bvxm_batch.set_input_from_db(1, lvcs)
bvxm_batch.run_process()
(c_id, c_type) = bvxm_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def get_full_path(res, name):
bvxm_batch.init_process("volmGetFullPathProcess")
bvxm_batch.set_input_from_db(0, res)
bvxm_batch.set_input_string(1, name)
statuscode = bvxm_batch.run_process()
(f_id, f_type) = bvxm_batch.commit_output(0)
full_path = bvxm_batch.get_output_string(f_id)
bvxm_batch.remove_data(f_id)
return full_path
def truncate_nitf_image(img, is_byte=True, is_scale=False):
bvxm_batch.init_process("bripTruncateNITFBitProcess")
bvxm_batch.set_input_from_db(0, img)
bvxm_batch.set_input_bool(1, is_byte)
bvxm_batch.set_input_bool(2, is_scale)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out_img = dbvalue(id, type)
return out_img
def project_osm_to_ortho_img(img_byte, ortho_cam, osm_file):
bvxm_batch.init_process("volmMapOSMProcess")
bvxm_batch.set_input_from_db(0, img_byte)
bvxm_batch.set_input_from_db(1, ortho_cam)
bvxm_batch.set_input_string(2, osm_file)
# process returns true if any osm objects hit the image area in this tile
hit = bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out_img = dbvalue(id, type)
return hit, out_img
def get_geocam_footprint(geocam,
geotiff_filename,
out_kml_filename,
init_finish=True):
bvxm_batch.init_process('vpglGeoFootprintProcess')
bvxm_batch.set_input_from_db(0, geocam)
bvxm_batch.set_input_string(1, geotiff_filename)
bvxm_batch.set_input_string(2, out_kml_filename)
bvxm_batch.set_input_bool(3, init_finish)
bvxm_batch.run_process()
def create_perspective_camera2(pcam, cent_x, cent_y, cent_z):
bvxm_batch.init_process("vpglCreatePerspectiveCameraProcess2")
bvxm_batch.set_input_from_db(0, pcam)
bvxm_batch.set_input_float(1, cent_x)
bvxm_batch.set_input_float(2, cent_y)
bvxm_batch.set_input_float(3, cent_z)
bvxm_batch.run_process()
(c_id, c_type) = bvxm_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def render_uncertainty_img(input_cam, ni, nj, world):
bvxm_batch.init_process("bvxmUncertaintyProcess")
bvxm_batch.set_input_from_db(0, world)
bvxm_batch.set_input_from_db(1, input_cam)
bvxm_batch.set_input_unsigned(2, ni)
bvxm_batch.set_input_unsigned(3, nj)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out_img = dbvalue(id, type)
return out_img
def persp2gen(pcam, ni, nj, level=0):
bvxm_batch.init_process("vpglConvertToGenericCameraProcess")
bvxm_batch.set_input_from_db(0, pcam)
bvxm_batch.set_input_unsigned(1, ni)
bvxm_batch.set_input_unsigned(2, nj)
bvxm_batch.set_input_unsigned(3, level)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
gcam = dbvalue(id, type)
return gcam
def find_seed_sat_resources(res, poly_kml, downsample_factor, sat_res_file):
bvxm_batch.init_process("volmFindOverlappingSatResourcesProcess")
bvxm_batch.set_input_from_db(0, res) # satellite resource
bvxm_batch.set_input_string(1, poly_kml) # kml polygon filename
# factor by which to downsample resource footprints when
bvxm_batch.set_input_float(2, downsample_factor)
# computing the raster (smaller factor takes more time & memory)
# output file to print the list (this will also save a kml version)
bvxm_batch.set_input_string(3, sat_res_file)
bvxm_batch.run_process()
def render_height_map_with_cam(world, input_cam, ni, nj):
bvxm_batch.init_process("bvxmHeightmapProcess")
bvxm_batch.set_input_from_db(0, input_cam)
bvxm_batch.set_input_unsigned(1, ni)
bvxm_batch.set_input_unsigned(2, nj)
bvxm_batch.set_input_from_db(3, world)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out_d_img = dbvalue(id, type)
return out_d_img
def scene_lvcs(world):
bvxm_batch.init_process("bvxmSceneLvcsProcess")
bvxm_batch.set_input_from_db(0, world)
status = bvxm_batch.run_process()
if status:
(id, type) = bvxm_batch.commit_output(0)
lvcs = dbvalue(id, type)
return lvcs
else:
return 0
def write_perspective_cam_vrml(vrml_filename, pcam, camera_rad, axis_length, r, g, b):
bvxm_batch.init_process("bvrmlWritePerspectiveCamProcess")
bvxm_batch.set_input_string(0, vrml_filename)
bvxm_batch.set_input_from_db(1, pcam)
bvxm_batch.set_input_float(2, camera_rad)
bvxm_batch.set_input_float(3, axis_length)
bvxm_batch.set_input_float(4, r)
bvxm_batch.set_input_float(5, g)
bvxm_batch.set_input_float(6, b)
bvxm_batch.run_process()
def render_height_map(world):
print("Rendering height map")
bvxm_batch.init_process("bvxmHeightmapOrthoProcess")
bvxm_batch.set_input_from_db(0, world)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out_d_img = dbvalue(id, type)
(id, type) = bvxm_batch.commit_output(1)
out_h_img = dbvalue(id, type)
return out_h_img, out_d_img
def add_responses_to_filter_bank(tclsf, img_name, img, filter_folder,
filter_name):
bvxm_batch.init_process("sdetAddResponsestoFilterBankProcess")
bvxm_batch.set_input_from_db(0, tclsf) # classifier instance
bvxm_batch.set_input_string(1, img_name)
bvxm_batch.set_input_from_db(2, img)
bvxm_batch.set_input_string(3, filter_folder)
# pass a unique name to be used to write to filter_folder
bvxm_batch.set_input_string(4, filter_name)
bvxm_batch.run_process()
def convert_to_generic_camera(cam_in, ni, nj, level=0):
bvxm_batch.init_process('vpglConvertToGenericCameraProcess')
bvxm_batch.set_input_from_db(0, cam_in)
bvxm_batch.set_input_unsigned(1, ni)
bvxm_batch.set_input_unsigned(2, nj)
bvxm_batch.set_input_unsigned(3, level)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
generic_cam = dbvalue(id, type)
return generic_cam
def rational_cam_nadirness(camera, lat, lon, elev):
bvxm_batch.init_process("vpglRationalCamNadirnessProcess")
bvxm_batch.set_input_from_db(0, camera)
bvxm_batch.set_input_double(1, lat)
bvxm_batch.set_input_double(2, lon)
bvxm_batch.set_input_double(3, elev)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
val = bvxm_batch.get_output_double(id)
return val
def resample_perspective_camera(cam, size0, size1):
bvxm_batch.init_process("vpglResamplePerspectiveCameraProcess")
bvxm_batch.set_input_from_db(0, cam)
bvxm_batch.set_input_int(1, size0[0])
bvxm_batch.set_input_int(2, size0[1])
bvxm_batch.set_input_int(3, size1[0])
bvxm_batch.set_input_int(4, size1[1])
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
out = dbvalue(id, type)
return out
def geo2generic(geocam, ni, nj, scene_height, level):
bvxm_batch.init_process("vpglConvertGeoCameraToGenericProcess")
bvxm_batch.set_input_from_db(0, geocam)
bvxm_batch.set_input_int(1, ni)
bvxm_batch.set_input_int(2, nj)
bvxm_batch.set_input_double(3, scene_height)
bvxm_batch.set_input_int(4, level)
bvxm_batch.run_process()
(c_id, c_type) = bvxm_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def geo_cam_global_to_img(geocam, lon, lat):
bvxm_batch.init_process("vpglGeoGlobalToImgProcess")
bvxm_batch.set_input_from_db(0, geocam)
bvxm_batch.set_input_double(1, lon)
bvxm_batch.set_input_double(2, lat)
bvxm_batch.run_process()
(id, type) = bvxm_batch.commit_output(0)
u = bvxm_batch.get_output_int(id)
(id, type) = bvxm_batch.commit_output(1)
v = bvxm_batch.get_output_int(id)
return u, v
def load_geotiff_cam(tfw_filename, lvcs=0, utm_zone=0, utm_hemisphere=0):
bvxm_batch.init_process("vpglLoadGeoCameraProcess")
bvxm_batch.set_input_string(0, tfw_filename)
if lvcs != 0:
bvxm_batch.set_input_from_db(1, lvcs)
bvxm_batch.set_input_int(2, utm_zone)
bvxm_batch.set_input_unsigned(3, utm_hemisphere)
bvxm_batch.run_process()
(c_id, c_type) = bvxm_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
