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 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, lvcs=0):
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)
if lvcs:
boxm2_batch.set_input_from_db(9, 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 get_3d_from_cams( cams, points ):
assert( len(cams) == len(points) and len(cams) > 1 );
#list of points will just be [u1,v1,u2,v2...];
ptlist = [];
for p in points:
ptlist.append(p[0]);
ptlist.append(p[1]);
#list of cam ids (type will be checked in C++);
camlist = [];
for cam in cams:
camlist.append(cam.id);
boxm2_batch.init_process("vpglGenerate3dPointFromCamsProcess");
boxm2_batch.set_input_unsigned_array(0, camlist);
boxm2_batch.set_input_int_array(1, ptlist);
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);
return x,y,z;
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 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 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 arf_stream(file_path) :
boxm2_batch.init_process("bilCreateArfImageIstreamProcess")
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 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 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 get_perspective_camera_center(cam):
boxm2_batch.init_process("vpglGetPerspectiveCamCenterProcess")
boxm2_batch.set_input_from_db(0, cam)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
x = boxm2_batch.get_output_float(id)
(id, type) = boxm2_batch.commit_output(1)
y = boxm2_batch.get_output_float(id)
(id, type) = boxm2_batch.commit_output(2)
z = boxm2_batch.get_output_float(id)
return x, y, z
def arf_seek_frame(rawStream, frame):
boxm2_batch.init_process("bilArfSeekFrameProcess")
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)
boxm2_batch.remove_data(id)
return img, time
def get_perspective_cam_center(pcam):
boxm2_batch.init_process("vpglGetPerspectiveCamCenterProcess");
boxm2_batch.set_input_from_db(0, pcam);
boxm2_batch.run_process();
(x_id,x_type) = boxm2_batch.commit_output(0);
x = boxm2_batch.get_output_float(x_id);
(y_id,type) = boxm2_batch.commit_output(1);
y = boxm2_batch.get_output_float(y_id);
(z_id,type) = boxm2_batch.commit_output(2);
z = boxm2_batch.get_output_float(z_id);
return x, y, z;
def geo_cam_global_to_img(geocam, lon, lat):
boxm2_batch.init_process("vpglGeoGlobalToImgProcess");
boxm2_batch.set_input_from_db(0, geocam);
boxm2_batch.set_input_double(1, lon);
boxm2_batch.set_input_double(2, lat);
boxm2_batch.run_process();
(id, type) = boxm2_batch.commit_output(0);
u = boxm2_batch.get_output_int(id);
(id, type) = boxm2_batch.commit_output(1);
v = boxm2_batch.get_output_int(id);
return u, v;
def get_sun_angles(mdata):
boxm2_batch.init_process("bradGetSunAnglesProcess")
boxm2_batch.set_input_from_db(0,mdata)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
sun_az = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
(id,type) = boxm2_batch.commit_output(1)
sun_el = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return sun_az, sun_el
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)
def get_rational_camera_offsets(cam_in):
boxm2_batch.init_process('vpglGetRationalCameraOffsetsProcess');
boxm2_batch.set_input_from_db(0,cam_in);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
offset_u = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
(id,type) = boxm2_batch.commit_output(1);
offset_v = boxm2_batch.get_output_double(id);
boxm2_batch.remove_data(id);
return (offset_u,offset_v);
def project_point(camera, x, y, z):
boxm2_batch.init_process("vpglProjectProcess")
boxm2_batch.set_input_from_db(0, camera)
boxm2_batch.set_input_float(1, x)
boxm2_batch.set_input_float(2, y)
boxm2_batch.set_input_float(3, z)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
u = boxm2_batch.get_output_float(id)
(id, type) = boxm2_batch.commit_output(1)
v = boxm2_batch.get_output_float(id)
return (u, v)
def project_point(camera,x,y,z):
boxm2_batch.init_process('vpglProjectProcess');
boxm2_batch.set_input_from_db(0,camera);
boxm2_batch.set_input_float(1,x);
boxm2_batch.set_input_float(2,y);
boxm2_batch.set_input_float(3,z);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
u = boxm2_batch.get_output_float(id);
(id,type) = boxm2_batch.commit_output(1);
v = boxm2_batch.get_output_float(id);
return (u,v);
def get_view_at_point(persp_cam,x,y,z):
boxm2_batch.init_process("vpglGetViewDirectionAtPointProcess");
boxm2_batch.set_input_from_db(0,persp_cam);
boxm2_batch.set_input_float(1,x);
boxm2_batch.set_input_float(2,y);
boxm2_batch.set_input_float(3,z);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
theta=boxm2_batch.get_output_float(id);
(id,type) = boxm2_batch.commit_output(1);
phi=boxm2_batch.get_output_float(id);
return theta, phi;
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);
status = boxm2_batch.run_process();
bin, angle = None, None
if status:
(bin_id,bin_type)=boxm2_batch.commit_output(0);
bin = boxm2_batch.get_output_int(bin_id);
(angle_id,angle_type)=boxm2_batch.commit_output(1);
angle = boxm2_batch.get_output_float(angle_id);
return bin, angle
def register_translational(img0, img0_mask, img1, search_radius=0):
boxm2_batch.init_process('ihogRegisterTranslationalProcess')
boxm2_batch.set_input_from_db(0,img0)
boxm2_batch.set_input_from_db(1,img0_mask)
boxm2_batch.set_input_from_db(2,img1)
boxm2_batch.set_input_int(3,search_radius)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
trans_x = boxm2_batch.get_output_double(id)
(id,type) = boxm2_batch.commit_output(1)
trans_y = boxm2_batch.get_output_double(id)
return (trans_x, trans_y)
def estimate_irradiance(image, sun_z, mean_albedo=1.0):
boxm2_batch.init_process('bbasEstimateIrradianceProcess')
boxm2_batch.set_input_from_db(0,image)
boxm2_batch.set_input_float(1,sun_z)
boxm2_batch.set_input_float(2,mean_albedo)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
img_float = dbvalue(id,type)
(id,type) = boxm2_batch.commit_output(1)
irrad = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return(img_float, irrad)
def camera_angles(camera, x,y,z):
boxm2_batch.init_process('bbasCameraAnglesProcess')
boxm2_batch.set_input_from_db(0,camera)
boxm2_batch.set_input_float(1,x)
boxm2_batch.set_input_float(2,y)
boxm2_batch.set_input_float(3,z)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
cam_az = boxm2_batch.get_output_float(id)
(id,type) = boxm2_batch.commit_output(1)
cam_el = boxm2_batch.get_output_float(id)
return (cam_az, cam_el)
def blobwise_kl_div(p_img, q_img, blob_img, thresh=.1) :
boxm2_batch.init_process("bripBlobwiseKLDivProcess")
boxm2_batch.set_input_from_db(0, p_img);
boxm2_batch.set_input_from_db(1, q_img);
boxm2_batch.set_input_from_db(2, blob_img);
boxm2_batch.set_input_float(3, thresh);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
kl_img = dbvalue(id,type);
(id,type) = boxm2_batch.commit_output(1);
thresh_img = dbvalue(id,type);
return kl_img, thresh_img;
def perturb_camera(cam_in, angle, rng):
boxm2_batch.init_process('vpglPerturbPerspCamOrientProcess');
boxm2_batch.set_input_from_db(0,cam_in);
boxm2_batch.set_input_float(1,angle);
boxm2_batch.set_input_from_db(2,rng);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
pert_cam = dbvalue(id,type);
(theta_id,type) = boxm2_batch.commit_output(1);
(phi_id,type) = boxm2_batch.commit_output(2);
theta = boxm2_batch.get_output_float(theta_id);
phi = boxm2_batch.get_output_float(phi_id);
return pert_cam, theta, phi;
def bbox_from_ply(filename):
minpoint = list();
maxpoint = list();
boxm2_batch.init_process('imeshPlyBboxProcess')
boxm2_batch.set_input_string(0,filename)
boxm2_batch.run_process()
for i in (0,1,2):
(id,type) = boxm2_batch.commit_output(i)
minpoint.append(boxm2_batch.get_output_double(id));
for i in (3,4,5):
(id,type) = boxm2_batch.commit_output(i)
maxpoint.append(boxm2_batch.get_output_double(id));
return (minpoint, maxpoint)
def geo_cam_global_to_img(geocam, lon, lat):
boxm2_batch.init_process("vpglGeoGlobalToImgProcess")
boxm2_batch.set_input_from_db(0, geocam)
boxm2_batch.set_input_double(1, lon)
boxm2_batch.set_input_double(2, lat)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
u = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(1)
v = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
return u, v
def test_classifier(tclsf, block_size, category_id_file=""):
boxm2_batch.init_process("sdetTextureClassifierProcess2");
boxm2_batch.set_input_from_db(0, tclsf);
boxm2_batch.set_input_unsigned(1, block_size);
boxm2_batch.set_input_string(2, category_id_file);
boxm2_batch.run_process();
(out_id, out_type)=boxm2_batch.commit_output(0);
out = dbvalue(out_id, out_type);
(out_id, out_type)=boxm2_batch.commit_output(1);
out_color = dbvalue(out_id, out_type);
(out_id, out_type)=boxm2_batch.commit_output(2);
out_id = dbvalue(out_id, out_type);
return out, out_color, out_id
def get_xyz_from_depth_image(cam,depth_img):
boxm2_batch.init_process("vpglGenerateXYZFromDepthImageProcess");
boxm2_batch.set_input_from_db(0,cam); # perspective or generic camera
boxm2_batch.set_input_from_db(1,depth_img);
boxm2_batch.run_process();
(id,type) = boxm2_batch.commit_output(0);
x_img = dbvalue(id,type);
(id,type) = boxm2_batch.commit_output(1);
y_img = dbvalue(id,type);
(id,type) = boxm2_batch.commit_output(2);
z_img = dbvalue(id,type);
return x_img,y_img,z_img;
def perturb_camera_uniform(cam_in, angle, rng):
boxm2_batch.init_process('vpglPerturbUniformPerspCamOrientProcess')
boxm2_batch.set_input_from_db(0,cam_in)
boxm2_batch.set_input_float(1,angle)
boxm2_batch.set_input_from_db(2,rng)
boxm2_batch.run_process()
(id,type) = boxm2_batch.commit_output(0)
pert_cam = dbvalue(id,type)
(theta_id,type) = boxm2_batch.commit_output(1)
(phi_id,type) = boxm2_batch.commit_output(2)
theta = boxm2_batch.get_output_float(theta_id);
phi = boxm2_batch.get_output_float(phi_id);
return pert_cam, theta, phi
def get_backprojected_ray(cam, u, v):
boxm2_batch.init_process("vpglGetBackprojectRayProcess")
boxm2_batch.set_input_from_db(0, cam)
boxm2_batch.set_input_float(1, u)
boxm2_batch.set_input_float(2, v)
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)
return x, y, 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 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 blob_intersection(mp_img, gt_img):
boxm2_batch.init_process("bripBlobIntersectionProcess")
boxm2_batch.set_input_from_db(0, mp_img)
boxm2_batch.set_input_from_db(1, gt_img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
tp = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(1)
fp = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(2)
numBlobs = boxm2_batch.get_output_int(id)
boxm2_batch.remove_data(id)
return (tp, fp, numBlobs)
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_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 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 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 probe_intensities(scene, cpu_cache, str_cache, point):
boxm2_batch.init_process("boxm2CppBatchProbeIntensitiesProcess")
boxm2_batch.set_input_from_db(0, scene)
boxm2_batch.set_input_from_db(1, cpu_cache)
boxm2_batch.set_input_from_db(2, str_cache)
boxm2_batch.set_input_float(3, point[0])
boxm2_batch.set_input_float(4, point[1])
boxm2_batch.set_input_float(5, point[2])
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
intensities = boxm2_batch.get_bbas_1d_array_float(id)
boxm2_batch.remove_data(id)
(id, type) = boxm2_batch.commit_output(1)
visibilities = boxm2_batch.get_bbas_1d_array_float(id)
boxm2_batch.remove_data(id)
return intensities, visibilities
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 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 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 initialize_rng(seed=0):
boxm2_batch.init_process("bstaInitializeRandomSeedProcess")
boxm2_batch.set_input_unsigned(0, seed)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
rng = dbvalue(id, type)
return rng
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_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 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 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 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 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 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 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 max_threshold_image(img, threshold):
boxm2_batch.init_process("vilThresholdMaxImageProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, threshold)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mask = dbvalue(id, type)
return mask
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 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 image_mean(img):
boxm2_batch.init_process("vilImageMeanProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
mean_val = boxm2_batch.get_output_float(id)
boxm2_batch.remove_data(id)
return mean_val
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 get_plane(img, plane_id):
boxm2_batch.init_process("vilGetPlaneProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_unsigned(1, plane_id)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_plane = dbvalue(id, type)
return img_plane
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 detect_shadow_rgb(img, threshold):
boxm2_batch.init_process("vilShadowDetectionProcess")
boxm2_batch.set_input_from_db(0, img)
boxm2_batch.set_input_float(1, threshold)
boxm2_batch.run_process()
(o_id, o_type) = boxm2_batch.commit_output(0)
region_img = dbvalue(o_id, o_type)
return region_img
def combine_eo_ir(eo_img, ir_img):
boxm2_batch.init_process("vilEOIRCombineProcess")
boxm2_batch.set_input_from_db(0, eo_img)
boxm2_batch.set_input_from_db(1, ir_img)
boxm2_batch.run_process()
(id, type) = boxm2_batch.commit_output(0)
img_out = dbvalue(id, type)
return img_out
