def script_saveCommands(in_dir_meta, out_dir_meta, out_file_text):
cats = [
dir_curr for dir_curr in os.listdir(in_dir_meta)
if os.path.isdir(os.path.join(in_dir_meta, dir_curr))
]
# print len(cats);
commands = []
command_text = 'ffmpeg -i '
for cat in cats:
dir_curr = os.path.join(in_dir_meta, cat)
dir_out_curr = os.path.join(out_dir_meta, cat)
print dir_out_curr
if not os.path.exists(dir_out_curr):
os.mkdir(dir_out_curr)
videos = [
file_curr for file_curr in os.listdir(dir_curr)
if file_curr.endswith('.avi')
]
for video in videos:
out_dir_video_org = os.path.join(dir_out_curr, video[:-4])
out_dir_video = util.escapeString(out_dir_video_org)
command_curr = 'mkdir ' + out_dir_video + ';' + command_text + util.escapeString(
os.path.join(dir_curr,
video)) + ' ' + out_dir_video + '/image_%d.ppm'
commands.append(command_curr)
with open(out_file_text, 'wb') as f:
for command in commands:
f.write(command + '\n')
def script_writeFlownetCommands(params):
video_list_file = params.video_list_file
path_to_video_meta = params.path_to_video_meta
in_dir_meta = params.in_dir_meta
out_dir_meta = params.out_dir_meta
path_to_deploy = params.path_to_deploy
out_file_commands = params.out_file_commands
dir_flownet_meta = params.dir_flownet_meta
path_to_sizer = params.path_to_sizer
caffe_bin = params.caffe_bin
path_to_model = params.path_to_model
text_1_org = params.text_1
text_2_org = params.text_2
deploy_file = params.deploy_file
gpu = params.gpu
im_dirs = util.readLinesFromFile(video_list_file)
im_dirs = [
im_dir.replace(path_to_video_meta, in_dir_meta)[:-4]
for im_dir in im_dirs
]
commands = []
# im_dirs=['/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data/hmdb/pick/THE_WALLET_TRICK!!!_pick_f_cm_np2_ba_med_1'];
for idx_im_dir, im_dir in enumerate(im_dirs):
print idx_im_dir, len(im_dirs)
out_dir_curr = im_dir.replace(in_dir_meta, out_dir_meta)
text_1 = os.path.join(out_dir_curr, text_1_org)
text_2 = os.path.join(out_dir_curr, text_2_org)
out_deploy = os.path.join(out_dir_curr, deploy_file)
subprocess.call('mkdir -p ' + util.escapeString(out_dir_curr),
shell=True)
list_1, list_2 = getImageListForFlow(im_dir)
util.writeFile(text_1, list_1)
util.writeFile(text_2, list_2)
# im_test=util.escapeString(list_1[0]);
dim_list = [
int(dimstr) for dimstr in str(
subprocess.check_output([path_to_sizer, list_1[0]])).split(',')
]
replaceProto(path_to_deploy, out_deploy, dim_list, text_1, text_2,
len(list_1), out_dir_curr)
args = [
caffe_bin, 'test', '-model',
util.escapeString(out_deploy), '-weights', path_to_model,
'-iterations', '1', '-gpu',
str(gpu)
]
cmd = str.join(' ', args)
commands.append(cmd)
# print('Executing %s' % cmd)
util.writeFile(out_file_commands, commands)
def script_writeFlownetCommands(params):
video_list_file= params.video_list_file;
path_to_video_meta= params.path_to_video_meta;
in_dir_meta= params.in_dir_meta;
out_dir_meta= params.out_dir_meta;
path_to_deploy= params.path_to_deploy;
out_file_commands= params.out_file_commands;
dir_flownet_meta= params.dir_flownet_meta;
path_to_sizer= params.path_to_sizer;
caffe_bin = params.caffe_bin;
path_to_model = params.path_to_model;
text_1_org= params.text_1;
text_2_org= params.text_2;
deploy_file= params.deploy_file;
gpu= params.gpu;
im_dirs=util.readLinesFromFile(video_list_file);
im_dirs=[im_dir.replace(path_to_video_meta,in_dir_meta)[:-4] for im_dir in im_dirs];
commands=[];
# im_dirs=['/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data/hmdb/pick/THE_WALLET_TRICK!!!_pick_f_cm_np2_ba_med_1'];
for idx_im_dir,im_dir in enumerate(im_dirs):
print idx_im_dir,len(im_dirs);
out_dir_curr=im_dir.replace(in_dir_meta,out_dir_meta);
text_1=os.path.join(out_dir_curr,text_1_org);
text_2=os.path.join(out_dir_curr,text_2_org);
out_deploy=os.path.join(out_dir_curr,deploy_file);
subprocess.call('mkdir -p '+util.escapeString(out_dir_curr), shell=True)
list_1,list_2 = getImageListForFlow(im_dir)
util.writeFile(text_1,list_1);
util.writeFile(text_2,list_2);
# im_test=util.escapeString(list_1[0]);
dim_list = [int(dimstr) for dimstr in str(subprocess.check_output([path_to_sizer, list_1[0]])).split(',')]
replaceProto(path_to_deploy,out_deploy,dim_list,text_1,text_2,len(list_1),out_dir_curr)
args = [caffe_bin, 'test', '-model', util.escapeString(out_deploy),
'-weights', path_to_model,
'-iterations', '1',
'-gpu', str(gpu)]
cmd = str.join(' ', args)
commands.append(cmd);
# print('Executing %s' % cmd)
util.writeFile(out_file_commands,commands);
def script_writeCommandsForPreprocessing(all_dirs_file,command_file_pre,num_proc,check_file=None):
all_dirs=util.readLinesFromFile(all_dirs_file);
all_dirs=[dir_curr[:-1] for dir_curr in all_dirs];
if check_file is not None:
all_dirs=getRemainingDirs(all_dirs,check_file);
command_pre='echo '
command_middle_1=';cd ~/Downloads/opticalflow; matlab -nojvm -nodisplay -nosplash -r "out_folder=\''
command_middle='\';saveTrainingData" > '
command_end=' 2>&1';
commands=[];
for dir_curr in all_dirs:
dir_curr=util.escapeString(dir_curr);
log_file=os.path.join(dir_curr,'log.txt');
command=command_pre+dir_curr+command_middle_1+dir_curr+command_middle+log_file+command_end;
commands.append(command);
idx_range=util.getIdxRange(len(commands),len(commands)/num_proc)
command_files=[];
for i,start_idx in enumerate(idx_range[:-1]):
command_file_curr=command_file_pre+str(i)+'.txt'
end_idx=idx_range[i+1]
commands_rel=commands[start_idx:end_idx];
util.writeFile(command_file_curr,commands_rel);
command_files.append(command_file_curr);
return command_files;
def script_writeCommandsForPreprocessing(all_dirs_file,
command_file_pre,
num_proc,
check_file=None):
all_dirs = util.readLinesFromFile(all_dirs_file)
all_dirs = [dir_curr[:-1] for dir_curr in all_dirs]
if check_file is not None:
all_dirs = getRemainingDirs(all_dirs, check_file)
command_pre = 'echo '
command_middle_1 = ';cd ~/Downloads/opticalflow; matlab -nojvm -nodisplay -nosplash -r "out_folder=\''
command_middle = '\';saveTrainingData" > '
command_end = ' 2>&1'
commands = []
for dir_curr in all_dirs:
dir_curr = util.escapeString(dir_curr)
log_file = os.path.join(dir_curr, 'log.txt')
command = command_pre + dir_curr + command_middle_1 + dir_curr + command_middle + log_file + command_end
commands.append(command)
idx_range = util.getIdxRange(len(commands), len(commands) / num_proc)
command_files = []
for i, start_idx in enumerate(idx_range[:-1]):
command_file_curr = command_file_pre + str(i) + '.txt'
end_idx = idx_range[i + 1]
commands_rel = commands[start_idx:end_idx]
util.writeFile(command_file_curr, commands_rel)
command_files.append(command_file_curr)
return command_files
def script_saveCommands(in_dir_meta,out_dir_meta,out_file_text):
cats=[dir_curr for dir_curr in os.listdir(in_dir_meta) if os.path.isdir(os.path.join(in_dir_meta,dir_curr))];
# print len(cats);
commands=[];
command_text='ffmpeg -i '
for cat in cats:
dir_curr=os.path.join(in_dir_meta,cat);
dir_out_curr=os.path.join(out_dir_meta,cat);
print dir_out_curr;
if not os.path.exists(dir_out_curr):
os.mkdir(dir_out_curr);
videos=[file_curr for file_curr in os.listdir(dir_curr) if file_curr.endswith('.avi')];
for video in videos:
out_dir_video_org=os.path.join(dir_out_curr,video[:-4])
out_dir_video = util.escapeString(out_dir_video_org)
command_curr='mkdir '+out_dir_video+';'+command_text+util.escapeString(os.path.join(dir_curr,video))+' '+out_dir_video+'/image_%d.ppm'
commands.append(command_curr);
with open(out_file_text,'wb') as f:
for command in commands:
f.write(command+'\n');
def writeCommands_hacky(out_file_commands,dirs,caffe_bin,deploy_name,path_to_model,gpu):
commands=[];
for dir_curr in dirs:
out_deploy=os.path.join(dir_curr,deploy_name);
args = [caffe_bin, 'test', '-model', util.escapeString(out_deploy),
'-weights', path_to_model,
'-iterations', '1',
'-gpu', str(gpu)]
cmd = str.join(' ', args)
commands.append(cmd)
util.writeFile(out_file_commands,commands);
def writeCommands_hacky(out_file_commands, dirs, caffe_bin, deploy_name,
path_to_model, gpu):
commands = []
for dir_curr in dirs:
out_deploy = os.path.join(dir_curr, deploy_name)
args = [
caffe_bin, 'test', '-model',
util.escapeString(out_deploy), '-weights', path_to_model,
'-iterations', '1', '-gpu',
str(gpu)
]
cmd = str.join(' ', args)
commands.append(cmd)
util.writeFile(out_file_commands, commands)
def main():
# dir_meta='/disk2/flow_data';
# dir_meta_old='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
# deploy_file='deploy.prototxt';
# dir_mids=[os.path.join(dir_meta,dir_mid) for dir_mid in os.listdir(dir_meta) if os.path.isdir(os.path.join(dir_meta,dir_mid))]
# dirs_left=[os.path.join(dir_mid,dir_curr) for dir_mid in dir_mids for dir_curr in os.listdir(dir_mid) if os.path.isdir(os.path.join(dir_mid,dir_curr))]
# dirs_left=[os.path.join(dir_mid,dir_curr) for dir_mid in dirs_left for dir_curr in os.listdir(dir_mid) if os.path.isdir(os.path.join(dir_mid,dir_curr))]
# print len(dirs_left);
# print dirs_left[0];
# for dir_curr in dirs_left:
# deploy_curr=os.path.join(dir_curr,deploy_file);
# print deploy_curr
# data=[];
# with open(deploy_curr,'r') as f:
# data = f.read()
# with open(deploy_curr+'_backup','w') as f:
# f.write(data);
# data = data.replace(dir_meta_old, dir_meta)
# with open(deploy_curr, "w") as f:
# f.write(data);
# return
# video_list_file='/disk2/video_data/video_list.txt'
# path_to_video_meta='/disk2/video_data';
# path_to_flo_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
# path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
# video_files=util.readLinesFromFile(video_list_file);
# # image_dirs=[dir_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for dir_curr in video_files];
# # flo_dirs=[dir_curr.replace(path_to_video_meta,path_to_flo_meta)[:-4] for dir_curr in video_files];
# flo_dirs=pickle.load(open('/disk2/temp/dirs_done.p','rb'));
# image_dirs=[dir_curr.replace(path_to_flo_meta,path_to_im_meta) for dir_curr in flo_dirs];
# print len(image_dirs)
# out_dir='/disk2/image_data_moved';
# out_file='/disk2/image_data_moved/mv_commands_2.txt'
# commands=[];
# image_dirs_to_move=image_dirs[5000:7000];
# for image_dir in image_dirs_to_move:
# image_dir=util.escapeString(image_dir);
# new_dir=image_dir.replace(path_to_im_meta,out_dir);
# command='mkdir -p '+new_dir+';';
# command=command+'mv '+image_dir+'/* '+new_dir;
# commands.append(command);
# util.writeFile('/disk2/image_data_moved/dirs_moved_2.txt',image_dirs_to_move);
# util.writeFile(out_file,commands);
# return
video_list_file = '/disk2/video_data/video_list.txt'
path_to_video_meta = '/disk2/video_data'
# path_to_flo_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
path_to_flo_meta = '/disk2/flow_data'
path_to_im_meta = '/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data'
video_files = util.readLinesFromFile(video_list_file)
# image_dirs=[dir_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for dir_curr in video_files];
# flo_dirs=[dir_curr.replace(path_to_video_meta,path_to_flo_meta)[:-4] for dir_curr in video_files];
flo_dirs = pickle.load(open('/disk2/temp/dirs_done_disk2.p', 'rb'))
image_dirs = [
dir_curr.replace(path_to_flo_meta, path_to_im_meta)
for dir_curr in flo_dirs
]
print len(image_dirs)
finished = []
i = 0
for image_dir, flo_dir in zip(image_dirs, flo_dirs):
print i
count_im_command = 'ls ' + os.path.join(util.escapeString(image_dir),
'*.ppm') + '| wc -l'
count_flo_command = 'ls ' + os.path.join(util.escapeString(flo_dir),
'*.flo') + '| wc -l'
# im_count=int(subprocess.check_output(count_im_command,shell=True));
# flo_count=int(subprocess.check_output(count_flo_command,shell=True));
im_count = len([
file_curr for file_curr in os.listdir(image_dir)
if file_curr.endswith('.ppm')
])
flo_count = len([
file_curr for file_curr in os.listdir(flo_dir)
if file_curr.endswith('.flo')
])
print i, flo_count, im_count
if flo_count + 1 == im_count:
finished.append(1)
else:
finished.append(0)
i += 1
finished = np.array(finished)
print 'done', sum(finished == 1)
print 'not done', sum(finished == 0)
pickle.dump([finished, image_dirs], open('/disk2/temp/to_rerun.p', 'wb'))
return
dir_flownet_meta = '/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet'
caffe_bin = os.path.join(dir_flownet_meta, 'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,
'model/flownet_official.caffemodel')
video_list_file = '/disk2/video_data/video_list.txt'
path_to_video_meta = '/disk2/video_data'
in_dir_meta = '/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data'
in_dir_meta = '/disk2/flow_data'
# if not os.path.exists(new_in_dir_meta):
# os.mkdir(new_in_dir_meta);
deploy_name = 'deploy.prototxt'
gpu = 0
dirs = [
dir_curr.replace(path_to_video_meta, in_dir_meta)[:-4]
for dir_curr in util.readLinesFromFile(video_list_file)
]
dirs = [dir_curr for dir_curr in dirs if os.path.exists(dir_curr)]
counts = [
len(os.listdir(dir_curr)) for dir_curr in dirs
if os.path.exists(dir_curr)
]
dirs_left = []
dirs_done = []
for idx_count, count in enumerate(counts):
if count == 4:
dirs_left.append(dirs[idx_count])
# dir_curr=dirs[idx_count]
# deploy_curr=os.path.join(dir_curr,deploy_name);
# im_file=os.path.join(dir_curr,'im_1.txt');
# batch_size = sum(1 for line in open(im_file))
# old_str='batch_size: '+str(int(ceil(batch_size/5)));
# print old_str,
# batch_size = int(ceil(batch_size/8));
# new_str='batch_size: '+str(batch_size);
# print new_str
# data=[];
# with open(deploy_curr,'r') as f:
# data = f.read()
# # print data[:300];
# assert old_str in data;
# data = data.replace(old_str, new_str)
# # print data[:300];
# with open(deploy_curr, "w") as f:
# f.write(data);
# out_dir_curr=dir_curr.replace(in_dir_meta,new_in_dir_meta);
#mkdir of new location
# mkdir_command='mkdir -p '+util.escapeString(out_dir_curr)
# print mkdir_command
# subprocess.call(mkdir_command, shell=True)
#mv contents from old to new
# mv_command='mv '+util.escapeString(dir_curr)+'/* '+util.escapeString(out_dir_curr);
# print mv_command
# subprocess.call(mv_command, shell=True)
#append new to dirs_left
# dirs_left.append(out_dir_curr);
# raw_input();
else:
dirs_done.append(dirs[idx_count])
print min(counts)
counts = np.array(counts)
print sum(counts == 4)
print len(dirs_left)
mid_point = len(dirs_left) / 2
print mid_point, len(dirs_left) - mid_point
out_file_commands = '/disk2/januaryExperiments/gettingFlows/flownet_commands_left_0.txt'
gpu = 0
# writeCommands_hacky(out_file_commands,dirs_left[:mid_point],caffe_bin,deploy_name,path_to_model,gpu)
out_file_commands = '/disk2/januaryExperiments/gettingFlows/flownet_commands_left_1.txt'
gpu = 1
# writeCommands_hacky(out_file_commands,dirs_left[mid_point:],caffe_bin,deploy_name,path_to_model,gpu)
print len(dirs_done)
pickle.dump(dirs_done, open('/disk2/temp/dirs_done_disk2.p', 'wb'))
return
video_list_file = '/disk2/video_data/video_list.txt'
path_to_video_meta = '/disk2/video_data'
in_dir_meta = '/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data'
out_dir_meta = '/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data'
path_to_deploy = '/disk2/januaryExperiments/gettingFlows/deploy_template.prototxt'
out_file_commands = '/disk2/januaryExperiments/gettingFlows/flownet_commands.txt'
dir_flownet_meta = '/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet'
path_to_sizer = os.path.join(dir_flownet_meta, 'bin/get_image_size')
caffe_bin = os.path.join(dir_flownet_meta, 'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,
'model/flownet_official.caffemodel')
text_1 = 'im_1.txt'
text_2 = 'im_2.txt'
deploy_file = 'deploy.prototxt'
gpu = 0
params_dict = {}
params_dict['video_list_file'] = video_list_file
params_dict['path_to_video_meta'] = path_to_video_meta
params_dict['in_dir_meta'] = in_dir_meta
params_dict['out_dir_meta'] = out_dir_meta
params_dict['path_to_deploy'] = path_to_deploy
params_dict['out_file_commands'] = out_file_commands
params_dict['dir_flownet_meta'] = dir_flownet_meta
params_dict['path_to_sizer'] = path_to_sizer
params_dict['caffe_bin'] = caffe_bin
params_dict['path_to_model'] = path_to_model
params_dict['text_1'] = text_1
params_dict['text_2'] = text_2
params_dict['deploy_file'] = deploy_file
params_dict['gpu'] = gpu
params = createParams('writeFlownetCommands')
params = params(**params_dict)
# script_writeFlownetCommands(params);
commands = util.readLinesFromFile(params.out_file_commands)
commands = [c.replace('-gpu 1', '-gpu 0') for c in commands]
util.writeFile(params.out_file_commands, commands)
pickle.dump(params._asdict(),
open(params.out_file_commands + '_meta_experiment.p', 'wb'))
return
video_list_file = '/disk2/video_data/video_list.txt'
path_to_im_meta = '/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data'
path_to_video_meta = '/disk2/video_data'
commands_file_text = '/disk2/januaryExperiments/gettingFlows/resize_commands.txt'
video_list = util.readLinesFromFile(video_list_file)
print len(video_list)
image_dirs = [
video_curr.replace(path_to_video_meta, path_to_im_meta)[:-4]
for video_curr in video_list
]
print len(image_dirs), image_dirs[0]
image_dirs = image_dirs[:1]
commands = []
command_conv = ['convert', '-resize 512x384']
for image_dir in image_dirs:
image_list = [
os.path.join(image_dir, im) for im in os.listdir(image_dir)
if im.endswith('.ppm')
]
for image_curr in image_list:
command_curr = [
command_conv[0], image_curr, command_conv[1], image_curr
]
command_curr = ' '.join(command_curr)
commands.append(command_curr)
print len(commands)
print commands[0]
util.writeFile(commands_file_text, commands)
return
video_list_file = '/disk2/video_data/video_list.txt'
path_to_im_meta = '/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data'
path_to_video_meta = '/disk2/video_data'
path_to_txt_1 = '/disk2/januaryExperiments/gettingFlows/temp_im_1.txt'
path_to_txt_2 = '/disk2/januaryExperiments/gettingFlows/temp_im_2.txt'
video_list = util.readLinesFromFile(video_list_file)
print len(video_list)
image_dirs = [
video_curr.replace(path_to_video_meta, path_to_im_meta)[:-4]
for video_curr in video_list
]
print len(image_dirs), image_dirs[0]
list_1 = []
list_2 = []
for image_dir in image_dirs[:10]:
list_1_curr, list_2_curr = getImageListForFlow(image_dir)
list_1.extend(list_1_curr[:3])
list_2.extend(list_2_curr[:3])
assert len(list_1) == len(list_2)
util.writeFile(path_to_txt_1, list_1)
util.writeFile(path_to_txt_2, list_2)
def main():
# list_params = ['out_file_html',
# 'out_dir_flo_im',
# 'flo_dir',
# 'im_file_1',
# 'im_file_2',
# 'height',
# 'width',
# 'rel_path'];
# video_dir = '/disk2/marchExperiments/ucf-101- new/v_HeadMassage_g23_c07';
# params_dict={};
# params_dict['out_dir_flo_im'] = os.path.join(video_dir,'flo_im');
# util.mkdir(params_dict['out_dir_flo_im']);
# params_dict['out_file_html'] = os.path.join(video_dir,'visualize_flos.html');
# params_dict['flo_dir'] = os.path.join(video_dir,'flo');
# params_dict['im_file_1'] = os.path.join(video_dir,'flo','im_1.txt')
# params_dict['im_file_2'] = os.path.join(video_dir,'flo','im_2.txt')
# params_dict['height'] = 240;
# params_dict['width'] = 320;
# params_dict['rel_path'] = ['/disk2','../../../..'];
# params=createParams('visualizeFlos');
# params=params(**params_dict);
# script_visualizeFlos(params);
# pickle.dump(params._asdict(),open(params.out_file_html+'_meta_experiment.p','wb'));
# return
out_dir_old='/disk2/marchExperiments/ucf-101';
out_dir='/disk2/marchExperiments/ucf-101-new';
subset_size=100;
# path_to_video_subset=os.path.join(out_dir_old,'video_files_subset_'+str(subset_size)+'.txt');
path_to_video_subset=os.path.join(out_dir,'video_list_0.txt');
videos=util.readLinesFromFile(path_to_video_subset);
gpu=0;
# random.shuffle(videos);
# halfway=len(videos)/2;
# videos_1=videos[:halfway];
# videos_2=videos[halfway:];
# print len(videos_1),len(videos_2),len(set(videos_1+videos_2)),len(videos)
# util.writeFile(os.path.join(out_dir,'video_list_0.txt'),videos_1);
# util.writeFile(os.path.join(out_dir,'video_list_1.txt'),videos_2);
# return
size_vid=[320,240];
size_flo=[160,120];
path_to_deploy='';
out_deploy='deploy.prototxt';
# gpu=0;
args=[];
for idx_curr,path_to_video in enumerate(videos):
# print path_to_video,
# idx_curr=0;
# path_to_video='/disk2/video_data/UCF-101/ApplyLipstick/v_ApplyLipstick_g06_c04.avi'
args_curr=(path_to_video,out_dir,size_vid,size_flo,path_to_deploy,out_deploy,gpu)
script_processVideo(args_curr);
# args.append(args_curr)
print len(args);
# return
# script_processVideo(path_to_video,out_dir,size_vid,size_flo,path_to_deploy,out_deploy,gpu)
# break;
# n_jobs=4;
# t=time.time();
# p=multiprocessing.Pool(n_jobs);
# p.map(script_processVideo,args);
# print time.time()-t
# break;
return
out_dir='/disk2/marchExperiments/ucf-101';
path_to_video_txt=os.path.join(out_dir,'video_files.txt');
subset_size=100;
videos=util.readLinesFromFile(path_to_video_txt);
random.shuffle(videos);
videos_subset=videos[:subset_size];
util.writeFile(path_to_video_subset,videos_subset);
return
path_to_deploy='/disk2/januaryExperiments/gettingFlows/deploy_template.prototxt';
dir_flownet_meta='/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet';
path_to_sizer=os.path.join(dir_flownet_meta,'bin/get_image_size')
caffe_bin = os.path.join(dir_flownet_meta,'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,'model/flownet_official.caffemodel')
text_1='im_1.txt';
text_2='im_2.txt';
deploy_file='deploy.prototxt';
gpu=0;
im_dir='/disk2/marchExperiments/debug_data/image'
out_deploy='deploy.prototxt'
out_dir_curr='/disk2/marchExperiments/debug_data/flo/'
list_1,list_2 = getImageListForFlow(im_dir)
# print list_1
util.writeFile(text_1,list_1);
util.writeFile(text_2,list_2);
dim_list = [int(dimstr) for dimstr in str(subprocess.check_output([path_to_sizer, list_1[0]])).split(',')]
print dim_list
dim_list=[160,120];
replaceProto(path_to_deploy,out_deploy,dim_list,text_1,text_2,len(list_1),out_dir_curr)
args = [caffe_bin, 'test', '-model', util.escapeString(out_deploy),
'-weights', path_to_model,
'-iterations', '1',
'-gpu', str(gpu)]
cmd = str.join(' ', args)
print cmd;
return
# dir_meta='/disk2/flow_data';
# dir_meta_old='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
# deploy_file='deploy.prototxt';
# dir_mids=[os.path.join(dir_meta,dir_mid) for dir_mid in os.listdir(dir_meta) if os.path.isdir(os.path.join(dir_meta,dir_mid))]
# dirs_left=[os.path.join(dir_mid,dir_curr) for dir_mid in dir_mids for dir_curr in os.listdir(dir_mid) if os.path.isdir(os.path.join(dir_mid,dir_curr))]
# dirs_left=[os.path.join(dir_mid,dir_curr) for dir_mid in dirs_left for dir_curr in os.listdir(dir_mid) if os.path.isdir(os.path.join(dir_mid,dir_curr))]
# print len(dirs_left);
# print dirs_left[0];
# for dir_curr in dirs_left:
# deploy_curr=os.path.join(dir_curr,deploy_file);
# print deploy_curr
# data=[];
# with open(deploy_curr,'r') as f:
# data = f.read()
# with open(deploy_curr+'_backup','w') as f:
# f.write(data);
# data = data.replace(dir_meta_old, dir_meta)
# with open(deploy_curr, "w") as f:
# f.write(data);
# return
# video_list_file='/disk2/video_data/video_list.txt'
# path_to_video_meta='/disk2/video_data';
# path_to_flo_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
# path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
# video_files=util.readLinesFromFile(video_list_file);
# # image_dirs=[dir_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for dir_curr in video_files];
# # flo_dirs=[dir_curr.replace(path_to_video_meta,path_to_flo_meta)[:-4] for dir_curr in video_files];
# flo_dirs=pickle.load(open('/disk2/temp/dirs_done.p','rb'));
# image_dirs=[dir_curr.replace(path_to_flo_meta,path_to_im_meta) for dir_curr in flo_dirs];
# print len(image_dirs)
# out_dir='/disk2/image_data_moved';
# out_file='/disk2/image_data_moved/mv_commands_2.txt'
# commands=[];
# image_dirs_to_move=image_dirs[5000:7000];
# for image_dir in image_dirs_to_move:
# image_dir=util.escapeString(image_dir);
# new_dir=image_dir.replace(path_to_im_meta,out_dir);
# command='mkdir -p '+new_dir+';';
# command=command+'mv '+image_dir+'/* '+new_dir;
# commands.append(command);
# util.writeFile('/disk2/image_data_moved/dirs_moved_2.txt',image_dirs_to_move);
# util.writeFile(out_file,commands);
# return
video_list_file='/disk2/video_data/video_list.txt'
path_to_video_meta='/disk2/video_data';
# path_to_flo_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
path_to_flo_meta='/disk2/flow_data';
path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
video_files=util.readLinesFromFile(video_list_file);
# image_dirs=[dir_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for dir_curr in video_files];
# flo_dirs=[dir_curr.replace(path_to_video_meta,path_to_flo_meta)[:-4] for dir_curr in video_files];
flo_dirs=pickle.load(open('/disk2/temp/dirs_done_disk2.p','rb'));
image_dirs=[dir_curr.replace(path_to_flo_meta,path_to_im_meta) for dir_curr in flo_dirs];
print len(image_dirs);
finished=[];
i=0;
for image_dir,flo_dir in zip(image_dirs,flo_dirs):
print i
count_im_command='ls '+os.path.join(util.escapeString(image_dir),'*.ppm')+'| wc -l';
count_flo_command='ls '+os.path.join(util.escapeString(flo_dir),'*.flo')+'| wc -l';
# im_count=int(subprocess.check_output(count_im_command,shell=True));
# flo_count=int(subprocess.check_output(count_flo_command,shell=True));
im_count=len([file_curr for file_curr in os.listdir(image_dir) if file_curr.endswith('.ppm')]);
flo_count=len([file_curr for file_curr in os.listdir(flo_dir) if file_curr.endswith('.flo')]);
print i,flo_count,im_count
if flo_count+1==im_count:
finished.append(1);
else:
finished.append(0);
i+=1;
finished=np.array(finished);
print 'done',sum(finished==1);
print 'not done',sum(finished==0);
pickle.dump([finished,image_dirs],open('/disk2/temp/to_rerun.p','wb'));
return
dir_flownet_meta='/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet';
caffe_bin = os.path.join(dir_flownet_meta,'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,'model/flownet_official.caffemodel')
video_list_file='/disk2/video_data/video_list.txt'
path_to_video_meta='/disk2/video_data';
in_dir_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
in_dir_meta='/disk2/flow_data';
# if not os.path.exists(new_in_dir_meta):
# os.mkdir(new_in_dir_meta);
deploy_name='deploy.prototxt';
gpu=0;
dirs=[dir_curr.replace(path_to_video_meta,in_dir_meta)[:-4] for dir_curr in util.readLinesFromFile(video_list_file)];
dirs=[dir_curr for dir_curr in dirs if os.path.exists(dir_curr)]
counts=[len(os.listdir(dir_curr)) for dir_curr in dirs if os.path.exists(dir_curr)];
dirs_left=[]
dirs_done=[];
for idx_count,count in enumerate(counts):
if count==4:
dirs_left.append(dirs[idx_count])
# dir_curr=dirs[idx_count]
# deploy_curr=os.path.join(dir_curr,deploy_name);
# im_file=os.path.join(dir_curr,'im_1.txt');
# batch_size = sum(1 for line in open(im_file))
# old_str='batch_size: '+str(int(ceil(batch_size/5)));
# print old_str,
# batch_size = int(ceil(batch_size/8));
# new_str='batch_size: '+str(batch_size);
# print new_str
# data=[];
# with open(deploy_curr,'r') as f:
# data = f.read()
# # print data[:300];
# assert old_str in data;
# data = data.replace(old_str, new_str)
# # print data[:300];
# with open(deploy_curr, "w") as f:
# f.write(data);
# out_dir_curr=dir_curr.replace(in_dir_meta,new_in_dir_meta);
#mkdir of new location
# mkdir_command='mkdir -p '+util.escapeString(out_dir_curr)
# print mkdir_command
# subprocess.call(mkdir_command, shell=True)
#mv contents from old to new
# mv_command='mv '+util.escapeString(dir_curr)+'/* '+util.escapeString(out_dir_curr);
# print mv_command
# subprocess.call(mv_command, shell=True)
#append new to dirs_left
# dirs_left.append(out_dir_curr);
# raw_input();
else:
dirs_done.append(dirs[idx_count])
print min(counts);
counts=np.array(counts);
print sum(counts==4);
print len(dirs_left)
mid_point=len(dirs_left)/2;
print mid_point,len(dirs_left)-mid_point
out_file_commands='/disk2/januaryExperiments/gettingFlows/flownet_commands_left_0.txt';
gpu=0;
# writeCommands_hacky(out_file_commands,dirs_left[:mid_point],caffe_bin,deploy_name,path_to_model,gpu)
out_file_commands='/disk2/januaryExperiments/gettingFlows/flownet_commands_left_1.txt';
gpu=1;
# writeCommands_hacky(out_file_commands,dirs_left[mid_point:],caffe_bin,deploy_name,path_to_model,gpu)
print len(dirs_done);
pickle.dump(dirs_done,open('/disk2/temp/dirs_done_disk2.p','wb'));
return
video_list_file='/disk2/video_data/video_list.txt'
path_to_video_meta='/disk2/video_data';
in_dir_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
out_dir_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
path_to_deploy='/disk2/januaryExperiments/gettingFlows/deploy_template.prototxt';
out_file_commands='/disk2/januaryExperiments/gettingFlows/flownet_commands.txt';
dir_flownet_meta='/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet';
path_to_sizer=os.path.join(dir_flownet_meta,'bin/get_image_size')
caffe_bin = os.path.join(dir_flownet_meta,'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,'model/flownet_official.caffemodel')
text_1='im_1.txt';
text_2='im_2.txt';
deploy_file='deploy.prototxt';
gpu=0;
params_dict={};
params_dict['video_list_file'] = video_list_file;
params_dict['path_to_video_meta'] = path_to_video_meta;
params_dict['in_dir_meta'] = in_dir_meta;
params_dict['out_dir_meta'] = out_dir_meta;
params_dict['path_to_deploy'] = path_to_deploy;
params_dict['out_file_commands'] = out_file_commands;
params_dict['dir_flownet_meta'] = dir_flownet_meta;
params_dict['path_to_sizer'] = path_to_sizer;
params_dict['caffe_bin'] = caffe_bin;
params_dict['path_to_model'] = path_to_model;
params_dict['text_1'] = text_1;
params_dict['text_2'] = text_2;
params_dict['deploy_file'] = deploy_file;
params_dict['gpu'] = gpu;
params=createParams('writeFlownetCommands');
params=params(**params_dict);
# script_writeFlownetCommands(params);
commands=util.readLinesFromFile(params.out_file_commands);
commands=[c.replace('-gpu 1','-gpu 0') for c in commands];
util.writeFile(params.out_file_commands,commands);
pickle.dump(params._asdict(),open(params.out_file_commands+'_meta_experiment.p','wb'));
return
video_list_file='/disk2/video_data/video_list.txt'
path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
path_to_video_meta='/disk2/video_data';
commands_file_text='/disk2/januaryExperiments/gettingFlows/resize_commands.txt';
video_list=util.readLinesFromFile(video_list_file);
print len(video_list);
image_dirs=[video_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for video_curr in video_list];
print len(image_dirs),image_dirs[0];
image_dirs=image_dirs[:1];
commands=[];
command_conv=['convert','-resize 512x384'];
for image_dir in image_dirs:
image_list=[os.path.join(image_dir,im) for im in os.listdir(image_dir) if im.endswith('.ppm')];
for image_curr in image_list:
command_curr=[command_conv[0],image_curr,command_conv[1],image_curr];
command_curr=' '.join(command_curr);
commands.append(command_curr);
print len(commands);
print commands[0];
util.writeFile(commands_file_text,commands);
return
video_list_file='/disk2/video_data/video_list.txt'
path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
path_to_video_meta='/disk2/video_data';
path_to_txt_1='/disk2/januaryExperiments/gettingFlows/temp_im_1.txt';
path_to_txt_2='/disk2/januaryExperiments/gettingFlows/temp_im_2.txt';
video_list=util.readLinesFromFile(video_list_file);
print len(video_list);
image_dirs=[video_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for video_curr in video_list];
print len(image_dirs),image_dirs[0];
list_1=[];list_2=[];
for image_dir in image_dirs[:10]:
list_1_curr,list_2_curr=getImageListForFlow(image_dir);
list_1.extend(list_1_curr[:3]);
list_2.extend(list_2_curr[:3]);
assert len(list_1)==len(list_2);
util.writeFile(path_to_txt_1,list_1);
util.writeFile(path_to_txt_2,list_2);
def script_processVideo((path_to_video,out_dir_meta,size_vid,size_flo,path_to_deploy,out_deploy,gpu)):
video_name=path_to_video[path_to_video.rindex('/')+1:];
video_name=video_name[:video_name.rindex('.')];
out_dir=os.path.join(out_dir_meta,video_name)
if os.path.exists(os.path.join(out_dir,'done')):
print 'skipping';
return;
util.mkdir(out_dir);
# temp_dir=os.path.join(out_dir,'temp')
im_dir=os.path.join(out_dir,'im')
flo_dir=os.path.join(out_dir,'flo')
# util.mkdir(temp_dir);
util.mkdir(im_dir);
util.mkdir(flo_dir);
out_video=os.path.join(out_dir,'temp_vid.avi');
ffmpeg_command='ffmpeg -i '+util.escapeString(path_to_video)+' -vf scale='+str(size_vid[0])+':'+str(size_vid[1])+' -y '+util.escapeString(out_video);
print ffmpeg_command;
subprocess.call(ffmpeg_command, shell=True)
ffmpeg_command_resize='ffmpeg -i '+util.escapeString(out_video)+' '+os.path.join(util.escapeString(im_dir),'image_%d.jpg');
print ffmpeg_command_resize;
subprocess.call(ffmpeg_command_resize, shell=True)
list_1,list_2 = getImageListForFlow(im_dir,10)
# print list_1
text_1=os.path.join(flo_dir,'im_1.txt');
text_2=os.path.join(flo_dir,'im_2.txt');
util.writeFile(text_1,list_1);
util.writeFile(text_2,list_2);
out_deploy=os.path.join(flo_dir,out_deploy);
path_to_deploy='/disk2/januaryExperiments/gettingFlows/deploy_template.prototxt';
dir_flownet_meta='/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet';
path_to_sizer=os.path.join(dir_flownet_meta,'bin/get_image_size')
caffe_bin = os.path.join(dir_flownet_meta,'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,'model/flownet_official.caffemodel')
if len(list_1)<500:
batch_size = len(list_1);
iterations = 1;
else:
# print len(list_1);
batch_size = math.floor(len(list_1)/8);
# print batch_size;
iterations = 8;
replaceProto(path_to_deploy,out_deploy,size_flo,text_1,text_2,batch_size,flo_dir)
args = [caffe_bin, 'test', '-model', util.escapeString(out_deploy),
'-weights', path_to_model,
'-iterations', str(iterations),
'-gpu', str(gpu)]
cmd = str.join(' ', args)
print cmd
subprocess.call(cmd, shell=True)
util.mkdir(os.path.join(out_dir,'done'));
print 'done';
def main():
# dir_meta='/disk2/flow_data';
# dir_meta_old='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
# deploy_file='deploy.prototxt';
# dir_mids=[os.path.join(dir_meta,dir_mid) for dir_mid in os.listdir(dir_meta) if os.path.isdir(os.path.join(dir_meta,dir_mid))]
# dirs_left=[os.path.join(dir_mid,dir_curr) for dir_mid in dir_mids for dir_curr in os.listdir(dir_mid) if os.path.isdir(os.path.join(dir_mid,dir_curr))]
# dirs_left=[os.path.join(dir_mid,dir_curr) for dir_mid in dirs_left for dir_curr in os.listdir(dir_mid) if os.path.isdir(os.path.join(dir_mid,dir_curr))]
# print len(dirs_left);
# print dirs_left[0];
# for dir_curr in dirs_left:
# deploy_curr=os.path.join(dir_curr,deploy_file);
# print deploy_curr
# data=[];
# with open(deploy_curr,'r') as f:
# data = f.read()
# with open(deploy_curr+'_backup','w') as f:
# f.write(data);
# data = data.replace(dir_meta_old, dir_meta)
# with open(deploy_curr, "w") as f:
# f.write(data);
# return
# video_list_file='/disk2/video_data/video_list.txt'
# path_to_video_meta='/disk2/video_data';
# path_to_flo_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
# path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
# video_files=util.readLinesFromFile(video_list_file);
# # image_dirs=[dir_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for dir_curr in video_files];
# # flo_dirs=[dir_curr.replace(path_to_video_meta,path_to_flo_meta)[:-4] for dir_curr in video_files];
# flo_dirs=pickle.load(open('/disk2/temp/dirs_done.p','rb'));
# image_dirs=[dir_curr.replace(path_to_flo_meta,path_to_im_meta) for dir_curr in flo_dirs];
# print len(image_dirs)
# out_dir='/disk2/image_data_moved';
# out_file='/disk2/image_data_moved/mv_commands_2.txt'
# commands=[];
# image_dirs_to_move=image_dirs[5000:7000];
# for image_dir in image_dirs_to_move:
# image_dir=util.escapeString(image_dir);
# new_dir=image_dir.replace(path_to_im_meta,out_dir);
# command='mkdir -p '+new_dir+';';
# command=command+'mv '+image_dir+'/* '+new_dir;
# commands.append(command);
# util.writeFile('/disk2/image_data_moved/dirs_moved_2.txt',image_dirs_to_move);
# util.writeFile(out_file,commands);
# return
video_list_file='/disk2/video_data/video_list.txt'
path_to_video_meta='/disk2/video_data';
# path_to_flo_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
path_to_flo_meta='/disk2/flow_data';
path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
video_files=util.readLinesFromFile(video_list_file);
# image_dirs=[dir_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for dir_curr in video_files];
# flo_dirs=[dir_curr.replace(path_to_video_meta,path_to_flo_meta)[:-4] for dir_curr in video_files];
flo_dirs=pickle.load(open('/disk2/temp/dirs_done_disk2.p','rb'));
image_dirs=[dir_curr.replace(path_to_flo_meta,path_to_im_meta) for dir_curr in flo_dirs];
print len(image_dirs);
finished=[];
i=0;
for image_dir,flo_dir in zip(image_dirs,flo_dirs):
print i
count_im_command='ls '+os.path.join(util.escapeString(image_dir),'*.ppm')+'| wc -l';
count_flo_command='ls '+os.path.join(util.escapeString(flo_dir),'*.flo')+'| wc -l';
# im_count=int(subprocess.check_output(count_im_command,shell=True));
# flo_count=int(subprocess.check_output(count_flo_command,shell=True));
im_count=len([file_curr for file_curr in os.listdir(image_dir) if file_curr.endswith('.ppm')]);
flo_count=len([file_curr for file_curr in os.listdir(flo_dir) if file_curr.endswith('.flo')]);
print i,flo_count,im_count
if flo_count+1==im_count:
finished.append(1);
else:
finished.append(0);
i+=1;
finished=np.array(finished);
print 'done',sum(finished==1);
print 'not done',sum(finished==0);
pickle.dump([finished,image_dirs],open('/disk2/temp/to_rerun.p','wb'));
return
dir_flownet_meta='/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet';
caffe_bin = os.path.join(dir_flownet_meta,'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,'model/flownet_official.caffemodel')
video_list_file='/disk2/video_data/video_list.txt'
path_to_video_meta='/disk2/video_data';
in_dir_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
in_dir_meta='/disk2/flow_data';
# if not os.path.exists(new_in_dir_meta):
# os.mkdir(new_in_dir_meta);
deploy_name='deploy.prototxt';
gpu=0;
dirs=[dir_curr.replace(path_to_video_meta,in_dir_meta)[:-4] for dir_curr in util.readLinesFromFile(video_list_file)];
dirs=[dir_curr for dir_curr in dirs if os.path.exists(dir_curr)]
counts=[len(os.listdir(dir_curr)) for dir_curr in dirs if os.path.exists(dir_curr)];
dirs_left=[]
dirs_done=[];
for idx_count,count in enumerate(counts):
if count==4:
dirs_left.append(dirs[idx_count])
# dir_curr=dirs[idx_count]
# deploy_curr=os.path.join(dir_curr,deploy_name);
# im_file=os.path.join(dir_curr,'im_1.txt');
# batch_size = sum(1 for line in open(im_file))
# old_str='batch_size: '+str(int(ceil(batch_size/5)));
# print old_str,
# batch_size = int(ceil(batch_size/8));
# new_str='batch_size: '+str(batch_size);
# print new_str
# data=[];
# with open(deploy_curr,'r') as f:
# data = f.read()
# # print data[:300];
# assert old_str in data;
# data = data.replace(old_str, new_str)
# # print data[:300];
# with open(deploy_curr, "w") as f:
# f.write(data);
# out_dir_curr=dir_curr.replace(in_dir_meta,new_in_dir_meta);
#mkdir of new location
# mkdir_command='mkdir -p '+util.escapeString(out_dir_curr)
# print mkdir_command
# subprocess.call(mkdir_command, shell=True)
#mv contents from old to new
# mv_command='mv '+util.escapeString(dir_curr)+'/* '+util.escapeString(out_dir_curr);
# print mv_command
# subprocess.call(mv_command, shell=True)
#append new to dirs_left
# dirs_left.append(out_dir_curr);
# raw_input();
else:
dirs_done.append(dirs[idx_count])
print min(counts);
counts=np.array(counts);
print sum(counts==4);
print len(dirs_left)
mid_point=len(dirs_left)/2;
print mid_point,len(dirs_left)-mid_point
out_file_commands='/disk2/januaryExperiments/gettingFlows/flownet_commands_left_0.txt';
gpu=0;
# writeCommands_hacky(out_file_commands,dirs_left[:mid_point],caffe_bin,deploy_name,path_to_model,gpu)
out_file_commands='/disk2/januaryExperiments/gettingFlows/flownet_commands_left_1.txt';
gpu=1;
# writeCommands_hacky(out_file_commands,dirs_left[mid_point:],caffe_bin,deploy_name,path_to_model,gpu)
print len(dirs_done);
pickle.dump(dirs_done,open('/disk2/temp/dirs_done_disk2.p','wb'));
return
video_list_file='/disk2/video_data/video_list.txt'
path_to_video_meta='/disk2/video_data';
in_dir_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
out_dir_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/flow_data';
path_to_deploy='/disk2/januaryExperiments/gettingFlows/deploy_template.prototxt';
out_file_commands='/disk2/januaryExperiments/gettingFlows/flownet_commands.txt';
dir_flownet_meta='/home/maheenrashid/Downloads/flownet/flownet-release/models/flownet';
path_to_sizer=os.path.join(dir_flownet_meta,'bin/get_image_size')
caffe_bin = os.path.join(dir_flownet_meta,'bin/caffe')
path_to_model = os.path.join(dir_flownet_meta,'model/flownet_official.caffemodel')
text_1='im_1.txt';
text_2='im_2.txt';
deploy_file='deploy.prototxt';
gpu=0;
params_dict={};
params_dict['video_list_file'] = video_list_file;
params_dict['path_to_video_meta'] = path_to_video_meta;
params_dict['in_dir_meta'] = in_dir_meta;
params_dict['out_dir_meta'] = out_dir_meta;
params_dict['path_to_deploy'] = path_to_deploy;
params_dict['out_file_commands'] = out_file_commands;
params_dict['dir_flownet_meta'] = dir_flownet_meta;
params_dict['path_to_sizer'] = path_to_sizer;
params_dict['caffe_bin'] = caffe_bin;
params_dict['path_to_model'] = path_to_model;
params_dict['text_1'] = text_1;
params_dict['text_2'] = text_2;
params_dict['deploy_file'] = deploy_file;
params_dict['gpu'] = gpu;
params=createParams('writeFlownetCommands');
params=params(**params_dict);
# script_writeFlownetCommands(params);
commands=util.readLinesFromFile(params.out_file_commands);
commands=[c.replace('-gpu 1','-gpu 0') for c in commands];
util.writeFile(params.out_file_commands,commands);
pickle.dump(params._asdict(),open(params.out_file_commands+'_meta_experiment.p','wb'));
return
video_list_file='/disk2/video_data/video_list.txt'
path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
path_to_video_meta='/disk2/video_data';
commands_file_text='/disk2/januaryExperiments/gettingFlows/resize_commands.txt';
video_list=util.readLinesFromFile(video_list_file);
print len(video_list);
image_dirs=[video_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for video_curr in video_list];
print len(image_dirs),image_dirs[0];
image_dirs=image_dirs[:1];
commands=[];
command_conv=['convert','-resize 512x384'];
for image_dir in image_dirs:
image_list=[os.path.join(image_dir,im) for im in os.listdir(image_dir) if im.endswith('.ppm')];
for image_curr in image_list:
command_curr=[command_conv[0],image_curr,command_conv[1],image_curr];
command_curr=' '.join(command_curr);
commands.append(command_curr);
print len(commands);
print commands[0];
util.writeFile(commands_file_text,commands);
return
video_list_file='/disk2/video_data/video_list.txt'
path_to_im_meta='/media/maheenrashid/e5507fe3-2bff-4cbe-bc63-400de6deba92/maheen_data/image_data';
path_to_video_meta='/disk2/video_data';
path_to_txt_1='/disk2/januaryExperiments/gettingFlows/temp_im_1.txt';
path_to_txt_2='/disk2/januaryExperiments/gettingFlows/temp_im_2.txt';
video_list=util.readLinesFromFile(video_list_file);
print len(video_list);
image_dirs=[video_curr.replace(path_to_video_meta,path_to_im_meta)[:-4] for video_curr in video_list];
print len(image_dirs),image_dirs[0];
list_1=[];list_2=[];
for image_dir in image_dirs[:10]:
list_1_curr,list_2_curr=getImageListForFlow(image_dir);
list_1.extend(list_1_curr[:3]);
list_2.extend(list_2_curr[:3]);
assert len(list_1)==len(list_2);
util.writeFile(path_to_txt_1,list_1);
util.writeFile(path_to_txt_2,list_2);