surveilling-surveillance/detection/util/util.py

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2021-05-20 22:20:48 +02:00
import json
import os
from os.path import join
from PIL import Image
LIGHTNING_CKPT_PATH = 'lightning_logs/version_0/checkpoints/'
LIGHTNING_TB_PATH = 'lightning_logs/version_0/'
LIGHTNING_METRICS_PATH = 'lightning_logs/version_0/metrics.csv'
class Args(dict):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.__dict__.update(args[0])
def __getattr__(self, name):
if name in self:
return self[name]
raise AttributeError("No such attribute: " + name)
def __setattr__(self, name, value):
self[name] = value
def __delattr__(self, name):
if name in self:
del self[name]
else:
AttributeError("No such attribute: " + name)
def init_exp_folder(args):
save_dir = os.path.abspath(args.get("save_dir"))
exp_name = args.get("exp_name")
exp_path = join(save_dir, exp_name)
exp_metrics_path = join(exp_path, "metrics.csv")
exp_tb_path = join(exp_path, "tb")
global_tb_path = args.get("tb_path")
global_tb_exp_path = join(global_tb_path, exp_name)
if os.environ.get('LOCAL_RANK') is not None:
return
# init exp path
if os.path.exists(exp_path):
raise FileExistsError(f"Experiment path [{exp_path}] already exists!")
os.makedirs(exp_path, exist_ok=True)
os.makedirs(global_tb_path, exist_ok=True)
if os.path.exists(global_tb_exp_path):
raise FileExistsError(f"Experiment exists in the global "
f"Tensorboard path [{global_tb_path}]!")
os.makedirs(global_tb_path, exist_ok=True)
# dump hyper-parameters/arguments
with open(join(save_dir, exp_name, "args.json"), "w") as f:
json.dump(args, f)
# ln -s for metrics
os.symlink(join(exp_path, LIGHTNING_METRICS_PATH),
exp_metrics_path)
# ln -s for tb
os.symlink(join(exp_path, LIGHTNING_TB_PATH), exp_tb_path)
os.symlink(exp_tb_path, global_tb_exp_path)
def get_concat_h_cut(im1, im2):
dst = Image.new('RGB', (im1.width + im2.width, min(im1.height, im2.height)))
dst.paste(im1, (0, 0))
dst.paste(im2, (im1.width, 0))
return dst