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[pre-commit.ci] pre-commit autoupdate #9

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[pre-commit.ci] pre-commit autoupdate #9

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649f387
[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Oct 28, 2024
d1acb26
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Oct 28, 2024
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12 changes: 6 additions & 6 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
# See https://pre-commit.com/hooks.html for more hooks
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.4.0
rev: v5.0.0
hooks:
- id: check-ast
- id: check-toml
Expand All @@ -21,15 +21,15 @@ repos:
- id: check-merge-conflict

- repo: https://github.com/asottile/pyupgrade
rev: v3.3.0
rev: v3.19.0
hooks:
- id: pyupgrade
args:
- --py38-plus
- --keep-runtime-typing

- repo: https://github.com/PyCQA/autoflake
rev: v2.0.0
rev: v2.3.1
hooks:
- id: autoflake
args:
Expand All @@ -43,7 +43,7 @@ repos:
- __init__.py

- repo: https://github.com/pycqa/isort
rev: 5.10.1
rev: 5.13.2
hooks:
- id: isort
args:
Expand All @@ -56,7 +56,7 @@ repos:
- --gitignore

- repo: https://github.com/psf/black
rev: 22.10.0
rev: 24.10.0
hooks:
- id: black
args:
Expand All @@ -65,7 +65,7 @@ repos:
- --color

- repo: https://github.com/PyCQA/flake8
rev: 5.0.4
rev: 7.1.1
hooks:
- id: flake8
args:
Expand Down
82 changes: 43 additions & 39 deletions mmsegmentation/.dev/benchmark_inference.py
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Expand Up @@ -13,62 +13,61 @@
from mmseg.utils import get_root_logger

# ignore warnings when segmentors inference
warnings.filterwarnings('ignore')
warnings.filterwarnings("ignore")


def download_checkpoint(checkpoint_name, model_name, config_name, collect_dir):
"""Download checkpoint and check if hash code is true."""
url = f'https://download.openmmlab.com/mmsegmentation/v0.5/{model_name}/{config_name}/{checkpoint_name}' # noqa
url = f"https://download.openmmlab.com/mmsegmentation/v0.5/{model_name}/{config_name}/{checkpoint_name}" # noqa

r = requests.get(url)
assert r.status_code != 403, f'{url} Access denied.'
assert r.status_code != 403, f"{url} Access denied."

with open(osp.join(collect_dir, checkpoint_name), 'wb') as code:
with open(osp.join(collect_dir, checkpoint_name), "wb") as code:
code.write(r.content)

true_hash_code = osp.splitext(checkpoint_name)[0].split('-')[1]
true_hash_code = osp.splitext(checkpoint_name)[0].split("-")[1]

# check hash code
with open(osp.join(collect_dir, checkpoint_name), 'rb') as fp:
with open(osp.join(collect_dir, checkpoint_name), "rb") as fp:
sha256_cal = hashlib.sha256()
sha256_cal.update(fp.read())
cur_hash_code = sha256_cal.hexdigest()[:8]

assert true_hash_code == cur_hash_code, f'{url} download failed, '
'incomplete downloaded file or url invalid.'
assert true_hash_code == cur_hash_code, f"{url} download failed, "
"incomplete downloaded file or url invalid."

if cur_hash_code != true_hash_code:
os.remove(osp.join(collect_dir, checkpoint_name))


def parse_args():
parser = ArgumentParser()
parser.add_argument('config', help='test config file path')
parser.add_argument('checkpoint_root', help='Checkpoint file root path')
parser.add_argument("config", help="test config file path")
parser.add_argument("checkpoint_root", help="Checkpoint file root path")
parser.add_argument("-i", "--img", default="demo/demo.png", help="Image file")
parser.add_argument("-a", "--aug", action="store_true", help="aug test")
parser.add_argument("-m", "--model-name", help="model name to inference")
parser.add_argument("-s", "--show", action="store_true", help="show results")
parser.add_argument(
'-i', '--img', default='demo/demo.png', help='Image file')
parser.add_argument('-a', '--aug', action='store_true', help='aug test')
parser.add_argument('-m', '--model-name', help='model name to inference')
parser.add_argument(
'-s', '--show', action='store_true', help='show results')
parser.add_argument(
'-d', '--device', default='cuda:0', help='Device used for inference')
"-d", "--device", default="cuda:0", help="Device used for inference"
)
return parser.parse_args()


def inference_model(config_name, checkpoint, args, logger=None):
cfg = Config.fromfile(config_name)
if args.aug:
if 'flip' in cfg.data.test.pipeline[
1] and 'img_scale' in cfg.data.test.pipeline[1]:
cfg.data.test.pipeline[1].img_ratios = [
0.5, 0.75, 1.0, 1.25, 1.5, 1.75
]
if (
"flip" in cfg.data.test.pipeline[1]
and "img_scale" in cfg.data.test.pipeline[1]
):
cfg.data.test.pipeline[1].img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
cfg.data.test.pipeline[1].flip = True
elif logger is None:
print(f'{config_name}: unable to start aug test', flush=True)
print(f"{config_name}: unable to start aug test", flush=True)
else:
logger.error(f'{config_name}: unable to start aug test')
logger.error(f"{config_name}: unable to start aug test")

model = init_segmentor(cfg, checkpoint, device=args.device)
# test a single image
Expand All @@ -94,44 +93,49 @@ def main(args):
if not isinstance(model_infos, list):
model_infos = [model_infos]
for model_info in model_infos:
config_name = model_info['config'].strip()
print(f'processing: {config_name}', flush=True)
checkpoint = osp.join(args.checkpoint_root,
model_info['checkpoint'].strip())
config_name = model_info["config"].strip()
print(f"processing: {config_name}", flush=True)
checkpoint = osp.join(
args.checkpoint_root, model_info["checkpoint"].strip()
)
try:
# build the model from a config file and a checkpoint file
inference_model(config_name, checkpoint, args)
except Exception:
print(f'{config_name} test failed!')
print(f"{config_name} test failed!")
continue
return
else:
raise RuntimeError('model name input error.')
raise RuntimeError("model name input error.")

# test all model
logger = get_root_logger(
log_file='benchmark_inference_image.log', log_level=logging.ERROR)
log_file="benchmark_inference_image.log", log_level=logging.ERROR
)

for model_name in config:
model_infos = config[model_name]

if not isinstance(model_infos, list):
model_infos = [model_infos]
for model_info in model_infos:
print('processing: ', model_info['config'], flush=True)
config_path = model_info['config'].strip()
print("processing: ", model_info["config"], flush=True)
config_path = model_info["config"].strip()
config_name = osp.splitext(osp.basename(config_path))[0]
checkpoint_name = model_info['checkpoint'].strip()
checkpoint_name = model_info["checkpoint"].strip()
checkpoint = osp.join(args.checkpoint_root, checkpoint_name)

# ensure checkpoint exists
try:
if not osp.exists(checkpoint):
download_checkpoint(checkpoint_name, model_name,
config_name.rstrip('.py'),
args.checkpoint_root)
download_checkpoint(
checkpoint_name,
model_name,
config_name.rstrip(".py"),
args.checkpoint_root,
)
except Exception:
logger.error(f'{checkpoint_name} download error')
logger.error(f"{checkpoint_name} download error")
continue

# test model inference with checkpoint
Expand All @@ -142,6 +146,6 @@ def main(args):
logger.error(f'{config_path} " : {repr(e)}')


if __name__ == '__main__':
if __name__ == "__main__":
args = parse_args()
main(args)
65 changes: 35 additions & 30 deletions mmsegmentation/.dev/check_urls.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,12 +25,10 @@ def check_url(url):


def parse_args():
parser = ArgumentParser('url valid check.')
parser = ArgumentParser("url valid check.")
parser.add_argument(
'-m',
'--model-name',
type=str,
help='Select the model needed to check')
"-m", "--model-name", type=str, help="Select the model needed to check"
)

return parser.parse_args()

Expand All @@ -42,56 +40,63 @@ def main():
# yml path generate.
# If model_name is not set, script will check all of the models.
if model_name is not None:
yml_list = [(model_name, f'configs/{model_name}/{model_name}.yml')]
yml_list = [(model_name, f"configs/{model_name}/{model_name}.yml")]
else:
# check all
yml_list = [(x, f'configs/{x}/{x}.yml') for x in os.listdir('configs/')
if x != '_base_']
yml_list = [
(x, f"configs/{x}/{x}.yml") for x in os.listdir("configs/") if x != "_base_"
]

logger = get_root_logger(log_file='url_check.log', log_level=logging.ERROR)
logger = get_root_logger(log_file="url_check.log", log_level=logging.ERROR)

for model_name, yml_path in yml_list:
# Default yaml loader unsafe.
model_infos = yml.load(
open(yml_path, 'r'), Loader=yml.CLoader)['Models']
model_infos = yml.load(open(yml_path), Loader=yml.CLoader)["Models"]
for model_info in model_infos:
config_name = model_info['Name']
checkpoint_url = model_info['Weights']
config_name = model_info["Name"]
checkpoint_url = model_info["Weights"]
# checkpoint url check
status_code, flag = check_url(checkpoint_url)
if flag:
logger.info(f'checkpoint | {config_name} | {checkpoint_url} | '
f'{status_code} valid')
logger.info(
f"checkpoint | {config_name} | {checkpoint_url} | "
f"{status_code} valid"
)
else:
logger.error(
f'checkpoint | {config_name} | {checkpoint_url} | '
f'{status_code} | error')
f"checkpoint | {config_name} | {checkpoint_url} | "
f"{status_code} | error"
)
# log_json check
checkpoint_name = checkpoint_url.split('/')[-1]
model_time = '-'.join(checkpoint_name.split('-')[:-1]).replace(
f'{config_name}_', '')
checkpoint_name = checkpoint_url.split("/")[-1]
model_time = "-".join(checkpoint_name.split("-")[:-1]).replace(
f"{config_name}_", ""
)
# two style of log_json name
# use '_' to link model_time (will be deprecated)
log_json_url_1 = f'https://download.openmmlab.com/mmsegmentation/v0.5/{model_name}/{config_name}/{config_name}_{model_time}.log.json' # noqa
log_json_url_1 = f"https://download.openmmlab.com/mmsegmentation/v0.5/{model_name}/{config_name}/{config_name}_{model_time}.log.json" # noqa
status_code_1, flag_1 = check_url(log_json_url_1)
# use '-' to link model_time
log_json_url_2 = f'https://download.openmmlab.com/mmsegmentation/v0.5/{model_name}/{config_name}/{config_name}-{model_time}.log.json' # noqa
log_json_url_2 = f"https://download.openmmlab.com/mmsegmentation/v0.5/{model_name}/{config_name}/{config_name}-{model_time}.log.json" # noqa
status_code_2, flag_2 = check_url(log_json_url_2)
if flag_1 or flag_2:
if flag_1:
logger.info(
f'log.json | {config_name} | {log_json_url_1} | '
f'{status_code_1} | valid')
f"log.json | {config_name} | {log_json_url_1} | "
f"{status_code_1} | valid"
)
else:
logger.info(
f'log.json | {config_name} | {log_json_url_2} | '
f'{status_code_2} | valid')
f"log.json | {config_name} | {log_json_url_2} | "
f"{status_code_2} | valid"
)
else:
logger.error(
f'log.json | {config_name} | {log_json_url_1} & '
f'{log_json_url_2} | {status_code_1} & {status_code_2} | '
'error')
f"log.json | {config_name} | {log_json_url_1} & "
f"{log_json_url_2} | {status_code_1} & {status_code_2} | "
"error"
)


if __name__ == '__main__':
if __name__ == "__main__":
main()
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