def run():
data = get_latest_backgrounds()
data = parse(data)
data = srdfilter(data)
dump(data, 'backgrounds.json')
dump(srdonly(data), 'srd-backgrounds.json')
diff('srd-backgrounds.json')
def run():
data = get_latest_feats()
data = prerender(data)
data = srdfilter(data)
data = fix_dupes(data, SOURCE_HIERARCHY, True)
dump(data, 'feats.json')
diff('feats.json')
def run():
data = get_spells()
processed = parse(data)
dump(processed, 'spells.json')
diff('spells.json')
dump(get_auto_only(processed), 'spellauto.json')
site_templates = site_parse(processed)
dump(site_templates, 'template-spells.json')
def run():
data = get_races_from_web()
data = split_subraces(data)
data = explicit_sources(data, EXPLICIT_SOURCES)
data = fix_dupes(data, SOURCE_HIERARCHY)
data = remove_ignored(data, IGNORED_SOURCES)
data = srdfilter(data)
dump(data, 'races.json')
dump(srdonly(data), 'srd-races.json')
diff('srd-races.json')
def run():
data = get_classes_from_web()
data = filter_ignored(data)
data = srdfilter(data)
data = recursive_tag(data)
data = fix_subclass_dupes(data)
classfeats = parse_classfeats(data)
classfeats.extend(parse_invocations())
dump(data, 'classes.json')
dump(classfeats, 'classfeats.json')
diff('classes.json')
diff('classfeats.json')
def run():
data = get_latest_items()
data = moneyfilter(data)
data = variant_inheritance(data)
objects = get_objects()
objects = object_actions(objects)
data.extend(objects)
data = srdfilter(data)
data = prerender(data)
sitedata = site_render(data)
dump(data, 'items.json')
diff('items.json')
dump(sitedata, 'template-items.json')
def run():
data = get_spells()
processed = parse(data)
processed = srdfilter(processed)
dump(processed, 'spells.json')
srd = ensure_ml_order(srdonly(processed), True)
dump(srd, 'srd-spells.json')
diff('srd-spells.json')
dump(get_auto_only(processed), 'spellauto.json')
site_templates = site_parse(processed)
dump(site_templates, 'template-spells.json')
"enter/37558/09:11:01 pm--53", "enter/34551/09:13:51 pm--59",
"enter/30306/08:10:01 pm--31", "enter/37558/08:03:47 pm--25",
"enter/30306/08:10:11 pm--32", "enter/37558/09:32:58 pm--71",
"enter/38488/08:42:58 pm--44", "enter/37666/11:06:06 pm--105",
"enter/20324/08:15:29 pm--37", "enter/37558/08:38:04 pm--42",
"enter/37558/09:13:47 pm--58", "enter/16206/09:30:15 pm--70",
"enter/37760/09:49:17 pm--86", "enter/36804/07:41:30 pm--23",
"enter/34551/09:14:45 pm--62", "enter/36533/09:12:44 pm--55",
"enter/36533/09:37:11 pm--75", "enter/38259/07:31:33 pm--16",
"enter/59/18:12--6", "enter/34551/09:15:51 pm--64",
"enter/35345/10:05:23 pm--90", "enter/8215/08:43:43 pm--47",
"enter/36436/09:07:24 pm--52", "enter/37666/11:05:35 pm--104",
"enter/59/07:38:05 pm--21", "enter/38508/09:21:30 pm--66",
"enter/36804/09:34:47 pm--72", "enter/37666/11:03:59 pm--101",
"enter/30306/08:09:49 pm--30", "enter/59/07:06:58 pm--12",
"enter/37760/09:49:35 pm--88", "enter/20324/08:14:59 pm--36",
"enter/37666/11:04:07 pm--102", "enter/38259/07:32:09 pm--17",
"enter/7/07:07:59 pm--13", "enter/28733/10:17:18 pm--94",
"enter/35345/10:05:51 pm--91", "enter/59/07:36:49 pm--19",
"enter/38512/09:26:31 pm--67", "enter/35086/10:12:37 pm--93",
"enter/10536/10:35:04 pm--95", "enter/38512/09:28:11 pm--69",
"enter/38259/19:12--7", "enter/30306/08:09:39 pm--29",
"enter/37760/09:48:00 pm--80", "enter/8215/08:43:04 pm--45",
"enter/36533/09:36:52 pm--74", "enter/38512/09:28:08 pm--68",
"enter/38259/19:12--8", "enter/35568/09:48:45 pm--83",
"enter/38259/07:32:30 pm--18", "enter/36533/08:21:12 pm--39",
"enter/59/18:12--1", "enter/37760/09:48:26 pm--82"
]
list_result = diff(list_20191225, list_20191226)
print(len(list_20191225), len(list_20191226), len(list_result))
metadata = Path(args.metadata)
videos_dir = Path(args.videos)
output_dir = Path(args.output)
index = Path(args.index)
############################################
# RECUPERA ESTADO ONDE PAROU #
############################################
if metadata.is_file():
full_df = pd.read_csv(metadata, sep=',')
else:
print(f'[!] ==> Arquivo de treino nao encontrado')
sys.exit(1)
if index.is_file():
index_df = pd.read_csv(index, sep=',', names=['video', 'utterance'])
df = diff(full_df, index_df, ['video', 'utterance'])
print(f'[!] ==> Estado recuperado com sucesso')
else:
df = full_df
print(f'[!] ==> Iniciando processamento do zero')
del full_df, args, parser, metadata
############################################
with open(index, 'a') as index_file:
index_writer = csv.writer(index_file)
for i, row in df.iterrows():
utterance = videos_dir / Path(row[3]) / Path('video') / Path(row[4])
out_dir = output_dir / Path(row[3]) / Path('video') / Path(row[4]).with_suffix('')
if utterance.is_file():
mkdir(out_dir)
net = load_yolonet()