def sample_video(video_file,
import_path,
video_sample_interval=2.0,
video_start_time=None,
video_duration_ratio=1.0,
verbose=False):
if import_path and not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
# command specific checks
video_file = os.path.abspath(video_file) if (
os.path.isfile(video_file) or os.path.isdir(video_file)) else None
if not video_file:
print("Error, video path " + video_file + " does not exist, exiting...")
sys.exit(1)
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(video_file)
import_path = os.path.join(os.path.abspath(import_path), video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
print("Video sampling path set to {}".format(import_path))
# check video logs
video_upload = processing.video_upload(video_file, import_path, verbose)
if video_upload:
return
if os.path.isdir(video_file):
video_list = uploader.get_video_file_list(video_file)
for video in video_list:
extract_frames(video,
import_path,
video_sample_interval,
video_start_time,
video_duration_ratio,
verbose)
else:
# single video file
extract_frames(video_file,
import_path,
video_sample_interval,
video_start_time,
video_duration_ratio,
verbose)
processing.create_and_log_video_process(video_file, import_path)
def process_upload_params(import_path,
user_name,
master_upload=False,
verbose=False,
rerun=False,
skip_subfolders=False,
video_file=None):
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file)
or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
# get list of file to process
process_file_list = processing.get_process_file_list(
import_path, "upload_params_process", rerun, verbose, skip_subfolders)
if not len(process_file_list):
print("No images to run upload params process")
print(
"If the images have already been processed and not yet uploaded, they can be processed again, by passing the argument --rerun"
)
# sanity checks
if not user_name:
print("Error, must provide a valid user name, exiting...")
processing.create_and_log_process_in_list(
process_file_list, "upload_params_process"
"failed", verbose)
return
if not master_upload:
try:
credentials = uploader.authenticate_user(user_name)
except:
print("Error, user authentication failed for user " + user_name)
processing.create_and_log_process_in_list(
process_file_list, "upload_params_process"
"failed", verbose)
return
if credentials == None or "user_upload_token" not in credentials or "user_permission_hash" not in credentials or "user_signature_hash" not in credentials:
print("Error, user authentication failed for user " + user_name)
processing.create_and_log_process_in_list(
process_file_list, "upload_params_process"
"failed", verbose)
return
user_upload_token = credentials["user_upload_token"]
user_permission_hash = credentials["user_permission_hash"]
user_signature_hash = credentials["user_signature_hash"]
user_key = credentials["MAPSettingsUserKey"]
for image in process_file_list:
# check the status of the sequence processing
log_root = uploader.log_rootpath(image)
duplicate_flag_path = os.path.join(log_root, "duplicate")
upload_params_path = os.path.join(log_root,
"upload_params_process.json")
if os.path.isfile(upload_params_path):
os.remove(upload_params_path)
if os.path.isfile(duplicate_flag_path) or master_upload:
continue
upload_params_properties = processing.get_upload_param_properties(
log_root, image, user_name, user_upload_token,
user_permission_hash, user_signature_hash, user_key, verbose)
processing.create_and_log_process(image,
"upload_params_process",
"success",
upload_params_properties,
verbose=verbose)
# flag manual upload
log_manual_upload = os.path.join(log_root, "manual_upload")
open(log_manual_upload, 'a').close()
def process_import_meta_properties(import_path,
orientation=None,
device_make=None,
device_model=None,
GPS_accuracy=None,
add_file_name=False,
add_import_date=False,
verbose=False,
rerun=False,
skip_subfolders=False,
video_file=None,
custom_meta_data=None,
camera_uuid=None):
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file)
or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
# get list of file to process
process_file_list = processing.get_process_file_list(
import_path, "import_meta_data_process", rerun, verbose,
skip_subfolders)
if not len(process_file_list):
print("No images to run import meta data process")
print(
"If the images have already been processed and not yet uploaded, they can be processed again, by passing the argument --rerun"
)
# map orientation from degrees to tags
if orientation:
orientation = processing.format_orientation(orientation)
# read import meta from image EXIF and finalize the import
# properties process
progress_count = 0
for image in process_file_list:
progress_count += 1
if verbose:
if (progress_count % 50) == 0:
sys.stdout.write(".")
if (progress_count % 5000) == 0:
print("")
import_meta_data_properties = get_import_meta_properties_exif(
image, verbose)
finalize_import_properties_process(image, import_path, orientation,
device_make, device_model,
GPS_accuracy, add_file_name,
add_import_date, verbose,
import_meta_data_properties,
custom_meta_data, camera_uuid)
print("Sub process finished")
def insert_MAPJson(import_path,
master_upload=False,
verbose=False,
rerun=False,
skip_subfolders=False,
skip_EXIF_insert=False,
keep_original=False,
video_file=None):
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file)
or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
# get list of file to process
process_file_list = processing.get_process_file_list(
import_path, "mapillary_image_description", rerun, verbose,
skip_subfolders)
if not len(process_file_list):
print("No images to run process finalization")
print(
"If the images have already been processed and not yet uploaded, they can be processed again, by passing the argument --rerun"
)
progress_count = 0
for image in process_file_list:
progress_count += 1
if verbose:
if (progress_count % 50) == 0:
sys.stdout.write(".")
if (progress_count % 5000) == 0:
print("")
# check the processing logs
log_root = uploader.log_rootpath(image)
duplicate_path = os.path.join(log_root, "duplicate")
if os.path.isfile(duplicate_path):
continue
final_mapillary_image_description = processing.get_final_mapillary_image_description(
log_root, image, master_upload, verbose, skip_EXIF_insert,
keep_original)
processing.create_and_log_process(image,
"mapillary_image_description",
"success",
final_mapillary_image_description,
verbose=verbose)
print("Sub process finished")
def process_sequence_properties(import_path,
cutoff_distance=600.0,
cutoff_time=60.0,
interpolate_directions=False,
flag_duplicates=False,
duplicate_distance=0.1,
duplicate_angle=5,
offset_angle=0.0,
verbose=False,
rerun=False,
skip_subfolders=False,
video_file=None):
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file)
or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
sequences = []
if skip_subfolders:
process_file_list = processing.get_process_file_list(
import_path, "sequence_process", rerun, verbose, True, import_path)
if not len(process_file_list):
if verbose:
print("No images to run sequence process in root " +
import_path)
print(
"If the images have already been processed and not yet uploaded, they can be processed again, by passing the argument --rerun"
)
else:
# LOAD TIME AND GPS POINTS ------------------------------------
file_list, capture_times, lats, lons, directions = processing.load_geotag_points(
process_file_list, verbose)
# ---------------------------------------
# SPLIT SEQUENCES --------------------------------------
if len(capture_times) and len(lats) and len(lons):
sequences.extend(
processing.split_sequences(capture_times, lats, lons,
file_list, directions,
cutoff_time, cutoff_distance,
verbose))
# ---------------------------------------
else:
# sequence limited to the root of the files
for root, dirs, files in os.walk(import_path):
if os.path.join(".mapillary", "logs") in root:
continue
if len(files):
process_file_list = processing.get_process_file_list(
import_path, "sequence_process", rerun, verbose, True,
root)
if not len(process_file_list):
if verbose:
print("No images to run sequence process in root " +
root)
print(
"If the images have already been processed and not yet uploaded, they can be processed again, by passing the argument --rerun"
)
continue
# LOAD TIME AND GPS POINTS ------------------------------------
file_list, capture_times, lats, lons, directions = processing.load_geotag_points(
process_file_list, verbose)
# ---------------------------------------
# SPLIT SEQUENCES --------------------------------------
if len(capture_times) and len(lats) and len(lons):
sequences.extend(
processing.split_sequences(capture_times, lats, lons,
file_list, directions,
cutoff_time,
cutoff_distance, verbose))
# ---------------------------------------
# process for each sequence
for sequence in sequences:
file_list = sequence["file_list"]
directions = sequence["directions"]
latlons = sequence["latlons"]
capture_times = sequence["capture_times"]
# COMPUTE DIRECTIONS --------------------------------------
interpolated_directions = [
compute_bearing(ll1[0], ll1[1], ll2[0], ll2[1])
for ll1, ll2 in zip(latlons[:-1], latlons[1:])
]
if len(interpolated_directions):
interpolated_directions.append(interpolated_directions[-1])
else:
interpolated_directions.append(directions[-1])
# use interpolated directions if direction not available or if flag for
# interpolate_directions
for i, d in enumerate(directions):
directions[i] = d if (
d is not None and not interpolate_directions
) else (interpolated_directions[i] + offset_angle) % 360.0
# ---------------------------------------
# INTERPOLATE TIMESTAMPS, in case of identical timestamps
capture_times = processing.interpolate_timestamp(capture_times)
final_file_list = file_list[:]
final_directions = directions[:]
final_capture_times = capture_times[:]
# FLAG DUPLICATES --------------------------------------
if flag_duplicates:
if verbose:
print(
"Flagging images as duplicates if consecutive distance difference less than {} and angle difference less than"
.format(duplicate_distance, duplicate_angle))
final_file_list = [file_list[0]]
final_directions = [directions[0]]
final_capture_times = [capture_times[0]]
prev_latlon = latlons[0]
prev_direction = directions[0]
for i, filename in enumerate(file_list[1:]):
log_root = uploader.log_rootpath(filename)
duplicate_flag_path = os.path.join(log_root, "duplicate")
sequence_process_success_path = os.path.join(
log_root, "sequence_process_success")
k = i + 1
distance = gps_distance(latlons[k], prev_latlon)
if directions[k] is not None and prev_direction is not None:
direction_diff = diff_bearing(directions[k],
prev_direction)
else:
# dont use bearing difference if no bearings are
# available
direction_diff = 360
if distance < duplicate_distance and direction_diff < duplicate_angle:
open(duplicate_flag_path, "w").close()
open(sequence_process_success_path, "w").close()
open(
sequence_process_success_path + "_" +
str(time.strftime("%Y_%m_%d_%H_%M_%S", time.gmtime())),
"w").close()
else:
prev_latlon = latlons[k]
prev_direction = directions[k]
final_file_list.append(filename)
final_directions.append(directions[k])
final_capture_times.append(capture_times[k])
# ---------------------------------------
# FINALIZE ------------------------------------
for i in range(0, len(final_file_list), MAX_SEQUENCE_LENGTH):
finalize_sequence_processing(
str(uuid.uuid4()), final_file_list[i:i + MAX_SEQUENCE_LENGTH],
final_directions[i:i + MAX_SEQUENCE_LENGTH],
final_capture_times[i:i + MAX_SEQUENCE_LENGTH], import_path,
verbose)
print("Sub process finished")
def process_geotag_properties(import_path,
geotag_source="exif",
geotag_source_path=None,
offset_time=0.0,
offset_angle=0.0,
local_time=False,
sub_second_interval=0.0,
use_gps_start_time=False,
verbose=False,
rerun=False,
skip_subfolders=False,
video_file=None):
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file)
or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
# get list of file to process
process_file_list = processing.get_process_file_list(
import_path, "geotag_process", rerun, verbose, skip_subfolders)
if not len(process_file_list):
print("No images to run geotag process")
print(
"If the images have already been processed and not yet uploaded, they can be processed again, by passing the argument --rerun"
)
# sanity checks
if geotag_source_path == None and geotag_source != "exif":
# if geotagging from external log file, path to the external log file
# needs to be provided, if not, exit
print(
"Error, if geotagging from external log, rather than image EXIF, you need to provide full path to the log file."
)
processing.create_and_log_process_in_list(process_file_list,
"geotag_process"
"failed", verbose)
sys.exit(1)
elif geotag_source != "exif" and not os.path.isfile(
geotag_source_path) and not os.path.isdir(geotag_source_path):
print(
"Error, " + geotag_source_path +
" file source of gps/time properties does not exist. If geotagging from external log, rather than image EXIF, you need to provide full path to the log file."
)
processing.create_and_log_process_in_list(process_file_list,
"geotag_process"
"failed", verbose)
sys.exit(1)
# function calls
if geotag_source == "exif":
geotag_properties = processing.geotag_from_exif(
process_file_list, import_path, offset_angle, verbose)
elif geotag_source == "gpx" or geotag_source == "nmea":
geotag_properties = processing.geotag_from_gps_trace(
process_file_list, import_path, geotag_source, geotag_source_path,
offset_time, offset_angle, local_time, sub_second_interval,
use_gps_start_time, verbose)
elif geotag_source == "csv":
geotag_properties = processing.geotag_from_csv(process_file_list,
import_path,
geotag_source_path,
offset_time,
offset_angle, verbose)
elif geotag_source == "gopro_video":
geotag_properties = processing.geotag_from_gopro_video(
process_file_list, import_path, geotag_source_path, offset_time,
offset_angle, local_time, sub_second_interval, use_gps_start_time,
verbose)
elif geotag_source == "blackvue_videos":
geotag_properties = processing.geotag_from_blackvue_video(
process_file_list, import_path, geotag_source_path, offset_time,
offset_angle, local_time, sub_second_interval, use_gps_start_time,
verbose)
elif geotag_source == "json":
geotag_properties = processing.geotag_from_json(
process_file_list, import_path, geotag_source_path, offset_time,
offset_angle, verbose)
print("Sub process finished")
def process_user_properties(import_path,
user_name,
organization_username=None,
organization_key=None,
private=False,
master_upload=False,
verbose=False,
rerun=False,
skip_subfolders=False,
video_file=None):
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file)
or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
# get list of file to process
process_file_list = processing.get_process_file_list(
import_path, "user_process", rerun, verbose, skip_subfolders)
if not len(process_file_list):
print("No images to run user process")
print(
"If the images have already been processed and not yet uploaded, they can be processed again, by passing the argument --rerun"
)
# sanity checks
if not user_name:
print("Error, must provide a valid user name, exiting...")
processing.create_and_log_process_in_list(process_file_list,
"user_process", "failed",
verbose)
sys.exit(1)
if private and not organization_username and not organization_key:
print(
"Error, if the import belongs to a private repository, you need to provide a valid organization user name or key to which the private repository belongs to, exiting..."
)
processing.create_and_log_process_in_list(process_file_list,
"user_process", "failed",
verbose)
sys.exit(1)
# function calls
if not master_upload:
user_properties = processing.user_properties(user_name, import_path,
process_file_list,
organization_username,
organization_key, private,
verbose)
else:
user_properties = processing.user_properties_master(
user_name, import_path, process_file_list, organization_key,
private, verbose)
# write data and logs
processing.create_and_log_process_in_list(process_file_list,
"user_process", "success",
verbose, user_properties)
print("Sub process ended")
def post_process(import_path,
split_import_path=None,
video_file=None,
summarize=False,
move_images=False,
move_duplicates=False,
move_uploaded=False,
save_as_json=False,
list_file_status=False,
push_images=False,
skip_subfolders=False,
verbose=False,
save_local_mapping=False):
# return if nothing specified
if not summarize and not move_images and not list_file_status and not push_images and not move_duplicates and not move_uploaded and not save_local_mapping:
print("No post processing action specified.")
return
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file) or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(os.path.abspath(import_path), video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
if save_local_mapping:
local_mapping = save_local_mapping(import_path)
with open(local_mapping_filepath, "w") as csvfile:
csvwriter = csv.writer(csvfile, delimiter=",")
for row in local_mapping:
csvwriter.writerow(row)
else:
print("Reading import logs for import path {}...".format(import_path))
# collect logs
summary_dict = {}
status_list_dict = {}
total_files = uploader.get_total_file_list(import_path)
total_files_count = len(total_files)
# upload logs
uploaded_files = uploader.get_success_upload_file_list(
import_path, skip_subfolders)
uploaded_files_count = len(uploaded_files)
failed_upload_files = uploader.get_failed_upload_file_list(
import_path, skip_subfolders)
failed_upload_files_count = len(failed_upload_files)
to_be_finalized_files = uploader.get_finalize_file_list(import_path)
to_be_finalized_files_count = len(to_be_finalized_files)
summary_dict["total images"] = total_files_count
summary_dict["upload summary"] = {
"successfully uploaded": uploaded_files_count,
"failed uploads": failed_upload_files_count,
"uploaded to be finalized": to_be_finalized_files_count
}
status_list_dict["successfully uploaded"] = uploaded_files
status_list_dict["failed uploads"] = failed_upload_files
status_list_dict["uploaded to be finalized"] = to_be_finalized_files
# process logs
summary_dict["process summary"] = {}
process_steps = ["user_process", "import_meta_process", "geotag_process",
"sequence_process", "upload_params_process", "mapillary_image_description"]
process_status = ["success", "failed"]
for step in process_steps:
process_success = len(processing.get_process_status_file_list(
import_path, step, "success", skip_subfolders))
process_failed = len(processing.get_process_status_file_list(
import_path, step, "failed", skip_subfolders))
summary_dict["process summary"][step] = {
"failed": process_failed,
"success": process_success
}
duplicates_file_list = processing.get_duplicate_file_list(
import_path, skip_subfolders)
duplicates_file_list_count = len(duplicates_file_list)
summary_dict["process summary"]["duplicates"] = duplicates_file_list_count
status_list_dict["duplicates"] = duplicates_file_list
# processed for upload
to_be_uploaded_files = uploader.get_upload_file_list(
import_path, skip_subfolders)
to_be_uploaded_files_count = len(to_be_uploaded_files)
summary_dict["process summary"]["processed_not_yet_uploaded"] = to_be_uploaded_files_count
status_list_dict["processed_not_yet_uploaded"] = to_be_uploaded_files
# summary
if summarize:
print("")
print("Import summary for import path {} :".format(import_path))
print(json.dumps(summary_dict, indent=4))
if save_as_json:
try:
processing.save_json(summary_dict, os.path.join(
import_path, "mapillary_import_summary.json"))
except Exception as e:
print("Could not save summary into json at {}, due to {}".format(
os.path.join(import_path, "mapillary_import_summary.json"), e))
# list file status
if list_file_status:
print("")
print("List of file status for import path {} :".format(import_path))
print(json.dumps(status_list_dict, indent=4))
if save_as_json:
try:
processing.save_json(status_list_dict, os.path.join(
import_path, "mapillary_import_image_status_list.json"))
except Exception as e:
print("Could not save image status list into json at {}, due to {}".format(
os.path.join(import_path, "mapillary_import_image_status_list.json"), e))
# push images that were uploaded successfully
# collect upload params
if push_images:
to_be_pushed_files = uploader.get_success_only_manual_upload_file_list(
import_path, skip_subfolders)
params = {}
for image in tqdm(to_be_pushed_files, desc="Pushing images"):
log_root = uploader.log_rootpath(image)
upload_params_path = os.path.join(
log_root, "upload_params_process.json")
if os.path.isfile(upload_params_path):
with open(upload_params_path, "rb") as jf:
params[image] = json.load(
jf, object_hook=uploader.ascii_encode_dict)
# get the s3 locations of the sequences
finalize_params = uploader.process_upload_finalization(
to_be_pushed_files, params)
uploader.finalize_upload(finalize_params)
# flag finalization for each file
uploader.flag_finalization(to_be_pushed_files)
if move_images or move_duplicates or move_uploaded:
print("")
print("Note that images will be moved along with their mapillary logs in order to preserve the import status")
defualt_split_import_path = os.path.join(
import_path, "mapillary_import_split_images")
if not split_import_path:
final_split_path = defualt_split_import_path
print("")
print(
"Split import path not provided and will therefore be set to default path {}".format(defualt_split_import_path))
if split_import_path:
if not os.path.isfile(split_import_path):
final_split_path = defualt_split_import_path
print("Split import path does not exist, split import path will be set to default path {}".format(
defualt_split_import_path))
else:
final_split_path = split_import_path
print("")
print("Splitting import path {} into {} based on image import status...".format(
import_path, final_split_path))
if move_images:
move_duplicates = True
move_uploaded = True
# move failed uploads
if not len(failed_upload_files):
print("")
print(
"There are no failed upload images in the specified import path.")
else:
failed_upload_path = os.path.join(
final_split_path, "upload_failed")
if not os.path.isdir(failed_upload_path):
os.makedirs(failed_upload_path)
for failed in failed_upload_files:
failed_upload_image_path = os.path.join(
failed_upload_path, os.path.basename(failed))
os.rename(failed, failed_upload_path)
failed_upload_log_path = os.path.dirname(uploader.log_rootpath(
failed_upload_image_path))
if not os.path.isdir(failed_upload_log_path):
os.makedirs(failed_upload_log_path)
shutil.move(uploader.log_rootpath(failed),
failed_upload_log_path)
print("")
print("Done moving failed upload images to {}".format(
failed_upload_path))
if move_duplicates:
if not len(duplicates_file_list):
print("")
print("There were no duplicates flagged in the specified import path. If you are processing the images with mapillary_tools and would like to flag duplicates, you must specify --advanced --flag_duplicates")
else:
duplicate_path = os.path.join(
final_split_path, "duplicates")
if not os.path.isdir(duplicate_path):
os.makedirs(duplicate_path)
for duplicate in duplicates_file_list:
duplicate_image_path = os.path.join(
duplicate_path, os.path.basename(duplicate))
os.rename(duplicate, duplicate_image_path)
duplicate_log_path = os.path.dirname(uploader.log_rootpath(
duplicate_image_path))
if not os.path.isdir(duplicate_log_path):
os.makedirs(duplicate_log_path)
shutil.move(uploader.log_rootpath(duplicate),
duplicate_log_path)
print("")
print("Done moving duplicate images to {}".format(
duplicate_path))
if move_uploaded:
if not len(uploaded_files):
print("")
print(
"There are no successfuly uploaded images in the specified import path.")
else:
upload_success_path = os.path.join(
final_split_path, "upload_success")
if not os.path.isdir(upload_success_path):
os.makedirs(upload_success_path)
for uploaded in uploaded_files:
uploaded_image_path = os.path.join(
upload_success_path, os.path.basename(uploaded))
os.rename(uploaded, upload_success_path)
uploaded_log_path = os.path.dirname(uploader.log_rootpath(
uploaded_image_path))
if not os.path.isdir(uploaded_log_path):
os.makedirs(uploaded_log_path)
shutil.move(uploader.log_rootpath(uploaded),
uploaded_log_path)
print("")
print("Done moving successfully uploaded images to {}".format(
upload_success_path))
