def get_3d_point_from_index(scene,cache,block_index, index):
#Warning, you probably shouldn't be doing this!
boxm2_batch.init_process("boxm2CppGet3dPointFromIndexProcess");
boxm2_batch.set_input_from_db(0, scene);
boxm2_batch.set_input_from_db(1, cache);
boxm2_batch.set_input_int(2, block_index[0]);
boxm2_batch.set_input_int(3, block_index[1]);
boxm2_batch.set_input_int(4, block_index[2]);
boxm2_batch.set_input_int(5, index);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
x=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(1);
y=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(2);
z=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(3);
xs=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(4);
ys=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(5);
zs=boxm2_batch.get_output_float(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(6);
leaf=boxm2_batch.get_output_int(id);
boxm2_batch.remove_data(id);
return ((x, y, z), (xs, ys, zs), leaf)
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 invert_float_image(img):
boxm2_batch.init_process("vilInvertFloatImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
inverted_img = dbvalue(id, type)
return inverted_img
def crop_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, uncertainty):
boxm2_batch.init_process("vpglCropImgUsing3DboxProcess");
boxm2_batch.set_input_from_db(0, img_res);
boxm2_batch.set_input_from_db(1, camera);
boxm2_batch.set_input_double(2, lower_left_lon);
boxm2_batch.set_input_double(3, lower_left_lat);
boxm2_batch.set_input_double(4, lower_left_elev);
boxm2_batch.set_input_double(5, upper_right_lon);
boxm2_batch.set_input_double(6, upper_right_lat);
boxm2_batch.set_input_double(7, upper_right_elev);
boxm2_batch.set_input_double(8, uncertainty);
status = boxm2_batch.run_process();
if status:
(id, type) = boxm2_batch.commit_output(0);
local_cam = dbvalue(id, type);
(id, type) = boxm2_batch.commit_output(1);
i0 = boxm2_batch.get_output_unsigned(id)
(id, type) = boxm2_batch.commit_output(2);
j0 = boxm2_batch.get_output_unsigned(id)
(id, type) = boxm2_batch.commit_output(3);
ni = boxm2_batch.get_output_unsigned(id)
(id, type) = boxm2_batch.commit_output(4);
nj = boxm2_batch.get_output_unsigned(id)
return status, local_cam, i0, j0, ni, nj;
else:
return status, dbvalue(0, ""), 0, 0, 0, 0;
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 get_generic_cam_ray(cam, u, v):
boxm2_batch.init_process("vpglGetGenericCamRayProcess");
boxm2_batch.set_input_from_db(0, cam);
boxm2_batch.set_input_unsigned(1, u);
boxm2_batch.set_input_unsigned(2, v);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
orig_x = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(1);
orig_y = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(2);
orig_z = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(3);
dir_x = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(4);
dir_y = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(5);
dir_z = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
return orig_x, orig_y, orig_z, dir_x, dir_y, dir_z;
def convert_local_rational_perspective_camera(local_cam) :
boxm2_batch.init_process("vpglConvertLocalRationalToPerspectiveProcess");
boxm2_batch.set_input_from_db(0, local_cam);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
cam = dbvalue(id,type);
return cam;
def scale_and_offset_values(img, scale, offset):
boxm2_batch.init_process("vilScaleAndOffsetValuesProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, scale)
boxm2_batch.set_input_float(2, offset)
boxm2_batch.run_process()
return
def debayer(img):
boxm2_batch.init_process("vilDebayerBGGRToRGBProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
outimg = dbvalue(id, type)
return outimg
def gen_tex_mesh(mesh,in_img_dir, in_cam_dir,out_dir):
boxm2_batch.init_process("boxm2TextureMeshProcess");
boxm2_batch.set_input_from_db(0,mesh);
boxm2_batch.set_input_string(1,in_img_dir);
boxm2_batch.set_input_string(2,in_cam_dir);
boxm2_batch.set_input_string(3,out_dir);
boxm2_batch.run_process();
def offset_cam_using_3d_box(camera, lower_left_lon, lower_left_lat, lower_left_elev, upper_right_lon, upper_right_lat, upper_right_elev, uncertainty, lvcs=None):
boxm2_batch.init_process("vpglOffsetCamUsing3DboxProcess");
boxm2_batch.set_input_from_db(0, camera);
boxm2_batch.set_input_double(1, lower_left_lon);
boxm2_batch.set_input_double(2, lower_left_lat);
boxm2_batch.set_input_double(3, lower_left_elev);
boxm2_batch.set_input_double(4, upper_right_lon);
boxm2_batch.set_input_double(5, upper_right_lat);
boxm2_batch.set_input_double(6, upper_right_elev);
boxm2_batch.set_input_double(7, uncertainty);
if lvcs:
boxm2_batch.set_input_from_db(8, lvcs);
status = boxm2_batch.run_process();
if status:
(id, type) = boxm2_batch.commit_output(0);
local_cam = dbvalue(id, type);
(id, type) = boxm2_batch.commit_output(1);
i0 = boxm2_batch.get_output_unsigned(id)
boxm2_batch.remove_data(id);
(id, type) = boxm2_batch.commit_output(2);
j0 = boxm2_batch.get_output_unsigned(id)
boxm2_batch.remove_data(id);
(id, type) = boxm2_batch.commit_output(3);
ni = boxm2_batch.get_output_unsigned(id)
boxm2_batch.remove_data(id);
(id, type) = boxm2_batch.commit_output(4);
nj = boxm2_batch.get_output_unsigned(id)
boxm2_batch.remove_data(id);
return status, local_cam, i0, j0, ni, nj;
else:
return status, dbvalue(0, ""), 0, 0, 0, 0;
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 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 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 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 test_classifier_clouds(tclsf, dictionary_name, image_resource, i, j, width, height, block_size, percent_cat_name, category_id_file=""):
boxm2_batch.init_process("sdetTextureClassifySatelliteCloudsProcess");
boxm2_batch.set_input_from_db(0, tclsf);
boxm2_batch.set_input_string(1, dictionary_name);
boxm2_batch.set_input_from_db(2, image_resource);
boxm2_batch.set_input_unsigned(3, i);
boxm2_batch.set_input_unsigned(4, j);
boxm2_batch.set_input_unsigned(5, width);
boxm2_batch.set_input_unsigned(6, height);
boxm2_batch.set_input_unsigned(7, block_size);
boxm2_batch.set_input_string(8, category_id_file);
boxm2_batch.set_input_string(9, percent_cat_name);
status = boxm2_batch.run_process();
if status:
(out_id, out_type)=boxm2_batch.commit_output(0);
out_crop = dbvalue(out_id, out_type);
(out_id, out_type)=boxm2_batch.commit_output(1);
out_id_map = dbvalue(out_id, out_type);
(out_id, out_type)=boxm2_batch.commit_output(2);
out_rgb_map = dbvalue(out_id, out_type);
(percent_id, percent_type) = boxm2_batch.commit_output(3);
percent = boxm2_batch.get_output_float(percent_id);
boxm2_batch.remove_data(percent_id)
return out_crop, out_id_map, out_rgb_map, percent
else:
out_crop = 0;
out_id_map = 0;
out_rgb_map = 0;
percent = 100;
return out_crop, out_id_map, out_rgb_map, percent
def histogram_equalize(img):
boxm2_batch.init_process("vilHistogramEqualizeProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_equalized = dbvalue(id, type)
return img_equalized
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 fill_holes(img):
boxm2_batch.init_process("vilFillHolesInRegionsProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
outimg = dbvalue(id, type)
return outimg
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 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 BGR_to_RGB(inimg):
boxm2_batch.init_process("vilBGRToRGBProcess")
boxm2_batch.set_input_from_db(0, inimg)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
out_img = dbvalue(id, type)
return out_img
def median_filter_image(img, neighborhood_radius):
boxm2_batch.init_process("vilMedianFilterProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, neighborhood_radius)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
filt_img = dbvalue(id, type)
return filt_img
def add_responses_to_filter_bank(tclsf, img_name, img, filter_folder, filter_name):
boxm2_batch.init_process("sdetAddResponsestoFilterBankProcess");
boxm2_batch.set_input_from_db(0,tclsf); # classifier instance
boxm2_batch.set_input_string(1,img_name);
boxm2_batch.set_input_from_db(2,img);
boxm2_batch.set_input_string(3,filter_folder);
boxm2_batch.set_input_string(4,filter_name); ## pass a unique name to be used to write to filter_folder
boxm2_batch.run_process();
def atmospheric_correct(image, sun_z):
boxm2_batch.init_process('bbasAtmosphericCorrProcess')
boxm2_batch.set_input_from_db(0,image)
boxm2_batch.set_input_float(1,sun_z)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
image_corrected = dbvalue(id,type)
return image_corrected
def query_cell_data(scene,cache,point):
boxm2_batch.init_process("boxm2CppQueryCellDataProcess");
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.run_process();
def prob_as_expected(image,atomicity):
boxm2_batch.init_process("bslExpectedImageProcess")
boxm2_batch.set_input_from_db(0,image)
boxm2_batch.set_input_float(1,atomicity)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
image_prob = dbvalue(id,type)
return image_prob
def perspective_camera_distance(cam1, cam2):
boxm2_batch.init_process('vpglPerspCamDistanceProcess')
boxm2_batch.set_input_from_db(0,cam1)
boxm2_batch.set_input_from_db(1,cam2)
boxm2_batch.run_process()
(dist_id,type) = boxm2_batch.commit_output(0)
dist = boxm2_batch.get_output_float(dist_id);
return dist
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 get_number_of_planes(img):
boxm2_batch.init_process("vilGetNumberOfPlanesProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
n_planes = boxm2_batch.get_output_unsigned(id)
boxm2_batch.remove_data(id)
return n_planes
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 arf_next_frame(rawStream):
boxm2_batch.init_process("bilArfReadFrameProcess")
boxm2_batch.set_input_from_db(0, rawStream)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img = dbvalue(id, type)
(id, type) = boxm2_batch.commit_output(1)
time = boxm2_batch.get_output_unsigned(id)
return img, time
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 visualize_change(change_img, in_img, thresh=.5):
boxm2_batch.init_process("boxm2OclVisualizeChangeProcess")
boxm2_batch.set_input_from_db(0, change_img)
boxm2_batch.set_input_from_db(1, in_img)
boxm2_batch.set_input_float(2, thresh)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
vis_img = dbvalue(id, type)
return vis_img
def fuse_beliefs(image1, image2, atomicity):
boxm2_batch.init_process("bslFusionProcess")
boxm2_batch.set_input_from_db(0, image1)
boxm2_batch.set_input_from_db(1, image2)
boxm2_batch.set_input_float(2, atomicity)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
fused_image = dbvalue(id, type)
return fused_image
def correct_rational_camera(cam_in, offset_x, offset_y):
boxm2_batch.init_process('vpglCorrectRationalCameraProcess')
boxm2_batch.set_input_from_db(0, cam_in)
boxm2_batch.set_input_double(1, offset_x)
boxm2_batch.set_input_double(2, offset_y)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
corrected_cam = dbvalue(id, type)
return corrected_cam
def rotate_perspective_camera(cam_in, theta, phi):
boxm2_batch.init_process('vpglRotatePerspCamProcess')
boxm2_batch.set_input_from_db(0, cam_in)
boxm2_batch.set_input_float(1, theta)
boxm2_batch.set_input_float(2, phi)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
rot_cam = dbvalue(id, type)
return rot_cam
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 translate_geo_camera(geocam, x, y):
boxm2_batch.init_process("vpglTranslateGeoCameraProcess")
boxm2_batch.set_input_from_db(0, geocam)
boxm2_batch.set_input_double(1, x)
boxm2_batch.set_input_double(2, y)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
def pixel(img, point):
boxm2_batch.init_process("vilPixelValueProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_int(1, int(point[0]))
boxm2_batch.set_input_int(2, int(point[1]))
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
val = boxm2_batch.get_output_float(id)
return val
def truncate_nitf_image(img, is_short=True, is_scale=True):
boxm2_batch.init_process("bripTruncateNITFBitProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_bool(1, is_short)
boxm2_batch.set_input_bool(2, is_scale)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
out_img = dbvalue(id, type)
return out_img
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 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)
boxm2_batch.remove_data(id)
return bin
def image_size(img):
boxm2_batch.init_process('vilImageSizeProcess')
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
ni = boxm2_batch.get_output_unsigned(id)
(id, type) = boxm2_batch.commit_output(1)
nj = boxm2_batch.get_output_unsigned(id)
return ni, nj
def image_range(img):
boxm2_batch.init_process('vilImageRangeProcess')
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
minVal = boxm2_batch.get_output_float(id)
(id, type) = boxm2_batch.commit_output(1)
maxVal = boxm2_batch.get_output_float(id)
return minVal, maxVal
def threshold_image(img, value, threshold_above=True):
boxm2_batch.init_process("vilThresholdImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, value)
boxm2_batch.set_input_bool(2, threshold_above)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
def gradient_angle(Ix, Iy):
boxm2_batch.init_process('vilGradientAngleProcess')
boxm2_batch.set_input_from_db(0, Ix)
boxm2_batch.set_input_from_db(1, Iy)
boxm2_batch.run_process()
#x image
(id, type) = boxm2_batch.commit_output(0)
angleImg = dbvalue(id, type)
return angleImg
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 persp2gen(pcam, ni, nj, level=0):
boxm2_batch.init_process("vpglConvertToGenericCameraProcess")
boxm2_batch.set_input_from_db(0, pcam)
boxm2_batch.set_input_unsigned(1, ni)
boxm2_batch.set_input_unsigned(2, nj)
boxm2_batch.set_input_unsigned(3, level)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
gcam = dbvalue(id, type)
return gcam
def seek_frame(rawStream, frame):
boxm2_batch.init_process("bilSeekFrameProcess")
boxm2_batch.set_input_from_db(0, rawStream)
boxm2_batch.set_input_unsigned(1, frame)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img = dbvalue(id, type)
#(id, type) = boxm2_batch.commit_output(1);
#time = boxm2_batch.get_output_unsigned(id);
return img
def binary_edge_detection(img, max_size, min_size, threshold_id=255):
boxm2_batch.init_process("vilBinaryEdgeDetectionProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_unsigned(1, max_size)
boxm2_batch.set_input_unsigned(2, min_size)
boxm2_batch.set_input_unsigned(3, threshold_id)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
edge_img = dbvalue(id, type)
return edge_img
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 threshold_image_inside(img, min_thres, max_thres, threshold_inside=True):
boxm2_batch.init_process("vilThresholdImageInsideProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, min_thres)
boxm2_batch.set_input_float(2, max_thres)
boxm2_batch.set_input_bool(3, threshold_inside)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
def estimate_atmospheric_parameters(image, metadata, mean_reflectance=None):
boxm2_batch.init_process("bradEstimateAtmosphericParametersProcess")
boxm2_batch.set_input_from_db(0, image)
boxm2_batch.set_input_from_db(1, metadata)
if mean_reflectance != None:
boxm2_batch.set_input_float(2, mean_reflectance)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
atm_params = dbvalue(id, type)
return atm_params
def radiometrically_calibrate(cropped_image, meta):
boxm2_batch.init_process("bradNITFAbsRadiometricCalibrationProcess")
boxm2_batch.set_input_from_db(0, cropped_image)
boxm2_batch.set_input_from_db(1, meta)
status = boxm2_batch.run_process()
cropped_img_cal = None
if status:
(id, type) = boxm2_batch.commit_output(0)
cropped_img_cal = dbvalue(id, type)
return cropped_img_cal
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 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 convert_to_generic_camera(cam_in, ni, nj, level=0):
boxm2_batch.init_process('vpglConvertToGenericCameraProcess')
boxm2_batch.set_input_from_db(0, cam_in)
boxm2_batch.set_input_unsigned(1, ni)
boxm2_batch.set_input_unsigned(2, nj)
boxm2_batch.set_input_unsigned(3, level)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
generic_cam = dbvalue(id, type)
return generic_cam
def create_perspective_camera2(pcam, cent_x, cent_y, cent_z):
boxm2_batch.init_process("vpglCreatePerspectiveCameraProcess2")
boxm2_batch.set_input_from_db(0, pcam)
boxm2_batch.set_input_float(1, cent_x)
boxm2_batch.set_input_float(2, cent_y)
boxm2_batch.set_input_float(3, cent_z)
boxm2_batch.run_process()
(c_id, c_type) = boxm2_batch.commit_output(0)
cam = dbvalue(c_id, c_type)
return cam
