def render(scene, device, cache, cam, time=0, ni=1624, nj=1224, render_label=False): if cache.type == "bstm_cache_sptr": print "bstm_batch CPU render grey and vis not yet implemented" return elif cache.type == "bstm_opencl_cache_sptr" and device: bstm_batch.init_process("bstmOclRenderExpectedImageProcess") bstm_batch.set_input_from_db(0, device) bstm_batch.set_input_from_db(1, scene) bstm_batch.set_input_from_db(2, cache) bstm_batch.set_input_from_db(3, cam) bstm_batch.set_input_unsigned(4, ni) bstm_batch.set_input_unsigned(5, nj) bstm_batch.set_input_float(6, time) bstm_batch.set_input_bool(7, render_label) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) exp_image = dbvalue(id, type) (id, type) = bstm_batch.commit_output(1) vis_image = dbvalue(id, type) return exp_image, vis_image else: print "ERROR: Cache type not recognized: ", cache.type
def merge(scene, cpu_cache, p_threshold, time): bstm_batch.init_process("bstmCppMergeTTProcess") bstm_batch.set_input_from_db(0, scene) bstm_batch.set_input_from_db(1, cpu_cache) bstm_batch.set_input_float(2, p_threshold) bstm_batch.set_input_float(3, time) bstm_batch.run_process()
def trajectory_next(trajectory): bstm_batch.init_process("bstmViewTrajectoryNextProcess") bstm_batch.set_input_from_db(0, trajectory) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) cam = dbvalue(id, type) return cam
def scale_and_offset_values(img, scale, offset): bstm_batch.init_process("vilScaleAndOffsetValuesProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.set_input_float(1, scale) bstm_batch.set_input_float(2, offset) bstm_batch.run_process() return
def load_perspective_camera(file_path) : bstm_batch.init_process("vpglLoadPerspectiveCameraProcess"); bstm_batch.set_input_string(0, file_path); bstm_batch.run_process(); (id,type) = bstm_batch.commit_output(0); cam = dbvalue(id,type); return cam;
def refine_time(scene, cpu_cache, change_prob_t, time): bstm_batch.init_process("bstmCppRefineTTProcess"); bstm_batch.set_input_from_db(0,scene); bstm_batch.set_input_from_db(1,cpu_cache); bstm_batch.set_input_float(2,change_prob_t); bstm_batch.set_input_float(3,time); bstm_batch.run_process();
def change_btw_frames(scene, cpu_cache, time0, time1): bstm_batch.init_process("bstmCppChangeBtwFramesProcess"); bstm_batch.set_input_from_db(0,scene); bstm_batch.set_input_from_db(1,cpu_cache); bstm_batch.set_input_float(2,time0); bstm_batch.set_input_float(3,time1); bstm_batch.run_process();
def refine(scene, cpu_cache, p_threshold, time): bstm_batch.init_process("bstmCppRefineSpacetimeProcess"); bstm_batch.set_input_from_db(0,scene); bstm_batch.set_input_from_db(1,cpu_cache); bstm_batch.set_input_float(2,p_threshold); bstm_batch.set_input_float(3,time); bstm_batch.run_process();
def trajectory_next(trajectory) : bstm_batch.init_process("bstmViewTrajectoryNextProcess"); bstm_batch.set_input_from_db(0, trajectory); bstm_batch.run_process(); (id,type) = bstm_batch.commit_output(0); cam = dbvalue(id,type); return cam;
def rgb2gray(img): bstm_batch.init_process("vilRGBToGreyProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) outimg = dbvalue(id, type) return outimg
def load_projective_camera(file_path): bstm_batch.init_process("vpglLoadProjCameraProcess") bstm_batch.set_input_string(0, file_path) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) cam = dbvalue(id, type) return cam
def change_btw_frames(scene, cpu_cache, time0, time1): bstm_batch.init_process("bstmCppChangeBtwFramesProcess") bstm_batch.set_input_from_db(0, scene) bstm_batch.set_input_from_db(1, cpu_cache) bstm_batch.set_input_float(2, time0) bstm_batch.set_input_float(3, time1) bstm_batch.run_process()
def refine_time(scene, cpu_cache, change_prob_t, time): bstm_batch.init_process("bstmCppRefineTTProcess") bstm_batch.set_input_from_db(0, scene) bstm_batch.set_input_from_db(1, cpu_cache) bstm_batch.set_input_float(2, change_prob_t) bstm_batch.set_input_float(3, time) bstm_batch.run_process()
def merge(scene, cpu_cache, p_threshold, time): bstm_batch.init_process("bstmCppMergeTTProcess"); bstm_batch.set_input_from_db(0,scene); bstm_batch.set_input_from_db(1,cpu_cache); bstm_batch.set_input_float(2,p_threshold); bstm_batch.set_input_float(3,time); bstm_batch.run_process();
def bundle2scene(bundle_file, img_dir, app_model="bstm_mog3_grey", isalign=True, out_dir="", timeSteps=32): if app_model == "bstm_mog3_grey": nobs_model = "bstm_num_obs" else: print "ERROR appearance model not recognized!!!", app_model return # run process bstm_batch.init_process("bstmBundleToSceneProcess") bstm_batch.set_input_string(0, bundle_file) bstm_batch.set_input_string(1, img_dir) bstm_batch.set_input_string(2, app_model) bstm_batch.set_input_string(3, nobs_model) bstm_batch.set_input_bool(4, isalign) bstm_batch.set_input_unsigned(5, timeSteps) bstm_batch.set_input_string(6, out_dir) bstm_batch.run_process() (scene_id, scene_type) = bstm_batch.commit_output(0) uscene = dbvalue(scene_id, scene_type) return uscene
def refine(scene, cpu_cache, p_threshold, time): bstm_batch.init_process("bstmCppRefineSpacetimeProcess") bstm_batch.set_input_from_db(0, scene) bstm_batch.set_input_from_db(1, cpu_cache) bstm_batch.set_input_float(2, p_threshold) bstm_batch.set_input_float(3, time) bstm_batch.run_process()
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 convert_image(img, type="byte"): bstm_batch.init_process("vilConvertPixelTypeProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.set_input_string(1, type) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) cimg = dbvalue(id, type) return cimg
def img_sum(img, plane_index=0): bstm_batch.init_process("vilImageSumProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.set_input_unsigned(1, plane_index) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) value = bstm_batch.get_output_double(id) return value
def close_image(img, disk_radius): bstm_batch.init_process("vilImageClosingDiskProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.set_input_float(1, disk_radius) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) cimg = dbvalue(id, type) return cimg
def trajectory_size(trajectory): bstm_batch.init_process("bstmViewTrajectorySizeProcess") bstm_batch.set_input_from_db(0, trajectory) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) size = bstm_batch.get_output_unsigned(id) bstm_batch.remove_data(id) return size
def write_cache(cache, do_clear=0): if cache.type == "bstm_cache_sptr": bstm_batch.init_process("bstmWriteCacheProcess") bstm_batch.set_input_from_db(0, cache) bstm_batch.set_input_bool(1, do_clear) bstm_batch.run_process() else: print "ERROR: Cache type needs to be bstm_cache_sptr, not ", cache.type
def load_scene(scene_str): #print("Loading a Scene from file: ", scene_str); bstm_batch.init_process("bstmLoadSceneProcess"); bstm_batch.set_input_string(0, scene_str); bstm_batch.run_process(); (scene_id, scene_type) = bstm_batch.commit_output(0); scene = dbvalue(scene_id, scene_type); return scene;
def load_scene(scene_str): #print("Loading a Scene from file: ", scene_str); bstm_batch.init_process("bstmLoadSceneProcess") bstm_batch.set_input_string(0, scene_str) bstm_batch.run_process() (scene_id, scene_type) = bstm_batch.commit_output(0) scene = dbvalue(scene_id, scene_type) return scene
def write_cache(cache, do_clear = 0) : if cache.type == "bstm_cache_sptr" : bstm_batch.init_process("bstmWriteCacheProcess"); bstm_batch.set_input_from_db(0,cache); bstm_batch.set_input_bool(1,do_clear); bstm_batch.run_process(); else : print "ERROR: Cache type needs to be bstm_cache_sptr, not ", cache.type;
def trajectory_size(trajectory): bstm_batch.init_process("bstmViewTrajectorySizeProcess") bstm_batch.set_input_from_db(0, trajectory) bstm_batch.run_process() (id,type) = bstm_batch.commit_output(0) size = bstm_batch.get_output_unsigned(id) bstm_batch.remove_data(id) return size
def binary_img_op(img1, img2, operation="sum"): bstm_batch.init_process("vilBinaryImageOpProcess") bstm_batch.set_input_from_db(0, img1) bstm_batch.set_input_from_db(1, img2) bstm_batch.set_input_string(2, operation) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) out = dbvalue(id, type) return out
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 image_size(img): bstm_batch.init_process("vilImageSizeProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) ni = bstm_batch.get_output_unsigned(id) (id, type) = bstm_batch.commit_output(1) nj = bstm_batch.get_output_unsigned(id) return ni, nj
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 gradient_angle(Ix, Iy): bstm_batch.init_process("vilGradientAngleProcess") bstm_batch.set_input_from_db(0, Ix) bstm_batch.set_input_from_db(1, Iy) bstm_batch.run_process() # x image (id, type) = bstm_batch.commit_output(0) angleImg = dbvalue(id, type) return angleImg
def gradient_angle(Ix, Iy): bstm_batch.init_process('vilGradientAngleProcess') bstm_batch.set_input_from_db(0, Ix) bstm_batch.set_input_from_db(1, Iy) bstm_batch.run_process() # x image (id, type) = bstm_batch.commit_output(0) angleImg = dbvalue(id, type) return angleImg
def image_size(img): bstm_batch.init_process('vilImageSizeProcess') bstm_batch.set_input_from_db(0, img) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) ni = bstm_batch.get_output_unsigned(id) (id, type) = bstm_batch.commit_output(1) nj = bstm_batch.get_output_unsigned(id) return ni, nj
def threshold_image(img, value, threshold_above=True): bstm_batch.init_process("vilThresholdImageProcess") bstm_batch.set_input_from_db(0,img) bstm_batch.set_input_float(1,value) bstm_batch.set_input_bool(2,threshold_above) bstm_batch.run_process() (id,type) = bstm_batch.commit_output(0) mask = dbvalue(id,type) return mask
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 resize(img, ni, nj, pixel="float"): bstm_batch.init_process("vilResampleProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.set_input_int(1, ni) bstm_batch.set_input_int(2, nj) bstm_batch.set_input_string(3, pixel) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) img = dbvalue(id, type) return img
def convert_to_generic_camera(cam_in, ni, nj, level=0): bstm_batch.init_process('vpglConvertToGenericCameraProcess') bstm_batch.set_input_from_db(0, cam_in) bstm_batch.set_input_unsigned(1, ni) bstm_batch.set_input_unsigned(2, nj) bstm_batch.set_input_unsigned(3, level) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) generic_cam = dbvalue(id, type) return generic_cam
def persp2gen(pcam, ni, nj, level=0): bstm_batch.init_process("vpglConvertToGenericCameraProcess") bstm_batch.set_input_from_db(0, pcam) bstm_batch.set_input_unsigned(1, ni) bstm_batch.set_input_unsigned(2, nj) bstm_batch.set_input_unsigned(3, level) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) gcam = dbvalue(id, type) return gcam
def crop_image(img, i0, j0, ni, nj): bstm_batch.init_process("vilCropImageProcess") bstm_batch.set_input_from_db(0, img) bstm_batch.set_input_unsigned(1, i0) bstm_batch.set_input_unsigned(2, j0) bstm_batch.set_input_unsigned(3, ni) bstm_batch.set_input_unsigned(4, nj) bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) img_out = dbvalue(id, type) return img_out
def clear_cache(cache) : if cache.type == "bstm_cache_sptr" : bstm_batch.init_process("bstmClearCacheProcess"); bstm_batch.set_input_from_db(0,cache); bstm_batch.run_process(); elif cache.type == "bstm_opencl_cache_sptr" : bstm_batch.init_process("bstmOclClearCacheProcess"); bstm_batch.set_input_from_db(0,cache); bstm_batch.run_process(); else : print "ERROR: Cache type needs to be bstm_cache_sptr, not ", cache.type;
def label_change(scene, device, cache, cam, change_img, change_t, label, time) : bstm_batch.init_process("bstmOclLabelRayProcess"); bstm_batch.set_input_from_db(0,device); bstm_batch.set_input_from_db(1,scene); bstm_batch.set_input_from_db(2,cache); bstm_batch.set_input_from_db(3,cam); bstm_batch.set_input_from_db(4,change_img); bstm_batch.set_input_float(5, change_t); bstm_batch.set_input_float(6, time); bstm_batch.set_input_int(7, label); bstm_batch.run_process();
def label_change(scene, device, cache, cam, change_img, change_t, label, time): bstm_batch.init_process("bstmOclLabelRayProcess") bstm_batch.set_input_from_db(0, device) bstm_batch.set_input_from_db(1, scene) bstm_batch.set_input_from_db(2, cache) bstm_batch.set_input_from_db(3, cam) bstm_batch.set_input_from_db(4, change_img) bstm_batch.set_input_float(5, change_t) bstm_batch.set_input_float(6, time) bstm_batch.set_input_int(7, label) bstm_batch.run_process()
def ocl_info(): #print("Init Manager"); bstm_batch.init_process("boclInitManagerProcess"); bstm_batch.run_process(); (id, type) = bstm_batch.commit_output(0); mgr = dbvalue(id, type); print("Get OCL info"); bstm_batch.init_process("bocl_info_process"); bstm_batch.set_input_from_db(0,mgr) bstm_batch.run_process();
def ocl_info(): #print("Init Manager"); bstm_batch.init_process("boclInitManagerProcess") bstm_batch.run_process() (id, type) = bstm_batch.commit_output(0) mgr = dbvalue(id, type) print("Get OCL info") bstm_batch.init_process("bocl_info_process") bstm_batch.set_input_from_db(0, mgr) bstm_batch.run_process()
def clear_cache(cache): if cache.type == "bstm_cache_sptr": bstm_batch.init_process("bstmClearCacheProcess") bstm_batch.set_input_from_db(0, cache) bstm_batch.run_process() elif cache.type == "bstm_opencl_cache_sptr": bstm_batch.init_process("bstmOclClearCacheProcess") bstm_batch.set_input_from_db(0, cache) bstm_batch.run_process() else: print "ERROR: Cache type needs to be bstm_cache_sptr, not ", cache.type
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)