#!/usr/bin/python import submit_jobs_matlab prepr_params = dict(); video_names = submit_jobs_matlab.runBash('ls /cortex/data/video/princeton_tracking_RGBD/EvaluationSet/').split() prepr_params['fayao.clgtv'] = """struct('depth_method', 'fayao', 'opflow_method', 'CLGTV', 'sample_interval', {iv}, 'scale_to_resolution', [240 320])""" frame_smp_interval = 1 run_prms = "preprocess_wrapper('internal', '{vid_name}', {prepr_params})" Jobs = [] Jobs += [("ctx06", run_prms, 'approaching_toward.avi', prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # run_prms = "preprocess_wrapper('princeton', '{vid_name}', {prepr_params})" # for k in range(15): # Jobs += [("ctx06", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(15, 30): # Jobs += [("ctx07", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(30, 45): # Jobs += [("ctx08", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(45, 60): # Jobs += [("ctx10", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(60, 75): # Jobs += [("ctx11", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # # for k in range(75, 95): # Jobs += [("ctx17", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))]
#!/usr/bin/python import submit_jobs_matlab prepr_params = dict() video_names = submit_jobs_matlab.runBash( 'ls /cortex/data/video/princeton_tracking_RGBD/EvaluationSet/').split() prepr_params[ 'fayao.clgtv'] = """struct('depth_method', 'fayao', 'opflow_method', 'CLGTV', 'sample_interval', {iv}, 'scale_to_resolution', [240 320])""" frame_smp_interval = 1 run_prms = "preprocess_wrapper('internal', '{vid_name}', {prepr_params})" Jobs = [] Jobs += [("ctx06", run_prms, 'approaching_toward.avi', prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # run_prms = "preprocess_wrapper('princeton', '{vid_name}', {prepr_params})" # for k in range(15): # Jobs += [("ctx06", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(15, 30): # Jobs += [("ctx07", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(30, 45): # Jobs += [("ctx08", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(45, 60): # Jobs += [("ctx10", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] # for k in range(60, 75): # Jobs += [("ctx11", run_prms, video_names[k], prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] #
#!/usr/bin/python import submit_jobs_matlab import scipy.io from numpy import * import itertools prepr_params = dict(); dir_names = submit_jobs_matlab.runBash('ls /storage/yuvval/data/video/MSRV3D/').split() prepr_params['eigen.clgtv'] = """struct('depth_method', 'eigen', 'opflow_method', 'CLGTV', 'sample_interval', {iv})""" frame_smp_interval = 1 run_prms = "preprocess_wrapper('msrv3d', {vid_name}, {prepr_params})" dir_names = [dir for dir in dir_names if 'Indoor' in dir] num_vids_in_dirs = [] vid_names = [] for dir in dir_names: info = scipy.io.loadmat('/storage/yuvval/data/video/MSRV3D/' + dir + '/info.mat') num_vids_in_dir = shape(info['clips'])[0] vid_names += ["struct('dir', '%s', 'idx', %d)"%(dir, k+1) for k in range(num_vids_in_dir)] Jobs = [] # Jobs += [("ctx06", run_prms, 'approaching_toward.avi', prepr_params['fayao.clgtv'].format(iv=frame_smp_interval))] for k in range(len(vid_names)):