def image_range(img):
bstm_batch.init_process("vilImageRangeProcess")
bstm_batch.set_input_from_db(0, img)
bstm_batch.run_process()
(id, type) = bstm_batch.commit_output(0)
minVal = bstm_batch.get_output_float(id)
(id, type) = bstm_batch.commit_output(1)
maxVal = bstm_batch.get_output_float(id)
return minVal, maxVal
def image_range(img):
bstm_batch.init_process('vilImageRangeProcess')
bstm_batch.set_input_from_db(0, img)
bstm_batch.run_process()
(id, type) = bstm_batch.commit_output(0)
minVal = bstm_batch.get_output_float(id)
(id, type) = bstm_batch.commit_output(1)
maxVal = bstm_batch.get_output_float(id)
return minVal, maxVal
def project_point(camera, x, y, z):
bstm_batch.init_process('vpglProjectProcess')
bstm_batch.set_input_from_db(0, camera)
bstm_batch.set_input_float(1, x)
bstm_batch.set_input_float(2, y)
bstm_batch.set_input_float(3, z)
bstm_batch.run_process()
(id, type) = bstm_batch.commit_output(0)
u = bstm_batch.get_output_float(id)
(id, type) = bstm_batch.commit_output(1)
v = bstm_batch.get_output_float(id)
return (u, v)
def scene_statistics(scene, cache):
bstm_batch.init_process("bstmSceneStatisticsProcess")
bstm_batch.set_input_from_db(0, scene)
bstm_batch.set_input_from_db(1, cache)
bstm_batch.run_process()
(s1_id, s1_type) = bstm_batch.commit_output(0)
(s2_id, s2_type) = bstm_batch.commit_output(1)
(s3_id, s3_type) = bstm_batch.commit_output(2)
s1 = bstm_batch.get_output_float(s1_id)
s2 = bstm_batch.get_output_float(s2_id)
s3 = bstm_batch.get_output_unsigned(s3_id)
return [s1, s2, s3]
def scene_statistics(scene, cache):
bstm_batch.init_process("bstmSceneStatisticsProcess");
bstm_batch.set_input_from_db(0, scene );
bstm_batch.set_input_from_db(1, cache );
bstm_batch.run_process();
(s1_id, s1_type) = bstm_batch.commit_output(0);
(s2_id, s2_type) = bstm_batch.commit_output(1);
(s3_id, s3_type) = bstm_batch.commit_output(2);
s1 = bstm_batch.get_output_float(s1_id);
s2 = bstm_batch.get_output_float(s2_id);
s3 = bstm_batch.get_output_unsigned(s3_id);
return [s1,s2,s3]
def image_mean(img):
bstm_batch.init_process("vilImageMeanProcess")
bstm_batch.set_input_from_db(0, img)
bstm_batch.run_process()
(id, type) = bstm_batch.commit_output(0)
mean_val = bstm_batch.get_output_float(id)
bstm_batch.remove_data(id)
return mean_val
def image_mean(img):
bstm_batch.init_process("vilImageMeanProcess")
bstm_batch.set_input_from_db(0, img)
bstm_batch.run_process()
(id, type) = bstm_batch.commit_output(0)
mean_val = bstm_batch.get_output_float(id)
bstm_batch.remove_data(id)
return mean_val
def pixel(img, point):
bstm_batch.init_process("vilPixelValueProcess")
bstm_batch.set_input_from_db(0, img)
bstm_batch.set_input_int(1, int(point[0]))
bstm_batch.set_input_int(2, int(point[1]))
bstm_batch.run_process()
(id, type) = bstm_batch.commit_output(0)
val = bstm_batch.get_output_float(id)
return val
def pixel(img, point):
bstm_batch.init_process("vilPixelValueProcess")
bstm_batch.set_input_from_db(0, img)
bstm_batch.set_input_int(1, int(point[0]))
bstm_batch.set_input_int(2, int(point[1]))
bstm_batch.run_process()
(id, type) = bstm_batch.commit_output(0)
val = bstm_batch.get_output_float(id)
return val
