#!/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)):
