text stringlengths 1 93.6k |
|---|
assert isinstance(query, str)
|
if os.path.isfile(query):
|
with open(query) as f:
|
data = eval(f.read())
|
else:
|
req = requests.get(query)
|
try:
|
data = requests.json()
|
except Exception:
|
data = req.content.decode()
|
assert data is not None, "could not connect"
|
try:
|
data = eval(data)
|
except Exception:
|
data = data.split("\n")
|
req.close()
|
return data
|
def get_image_from_url(url):
|
response = requests.get(url)
|
img = np.array(Image.open(BytesIO(response.content)))
|
return img
|
# to load legace frcnn checkpoint from detectron
|
def load_frcnn_pkl_from_url(url):
|
fn = url.split("/")[-1]
|
if fn not in os.listdir(os.getcwd()):
|
wget.download(url)
|
with open(fn, "rb") as stream:
|
weights = pkl.load(stream)
|
model = weights.pop("model")
|
new = {}
|
for k, v in model.items():
|
new[k] = torch.from_numpy(v)
|
if "running_var" in k:
|
zero = torch.Tensor([0])
|
k2 = k.replace("running_var", "num_batches_tracked")
|
new[k2] = zero
|
return new
|
def get_demo_path():
|
print(f"{os.path.abspath(os.path.join(PATH, os.pardir))}/demo.ipynb")
|
def img_tensorize(im, input_format="RGB"):
|
assert isinstance(im, str)
|
if os.path.isfile(im):
|
img = cv2.imread(im)
|
else:
|
img = get_image_from_url(im)
|
assert img is not None, f"could not connect to: {im}"
|
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # 8333 comment this out or indent
|
# print("trec")
|
if input_format == "RGB":
|
img = img[:, :, ::-1]
|
return img
|
def chunk(images, batch=1):
|
return (images[i : i + batch] for i in range(0, len(images), batch))
|
# <FILESEP>
|
import re, logging
|
from os import environ
|
from Script import script
|
def is_enabled(type, value):
|
data = environ.get(type, str(value))
|
if data.lower() in ["true", "yes", "1", "enable", "y"]:
|
return True
|
elif data.lower() in ["false", "no", "0", "disable", "n"]:
|
return False
|
else:
|
print(f'Error - {type} is invalid, exiting now')
|
exit()
|
def is_valid_ip(ip):
|
ip_pattern = r'\b(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\b'
|
return re.match(ip_pattern, ip) is not None
|
# Bot information
|
API_ID = environ.get('API_ID', '') #api id of your telegram id
|
if len(API_ID) == 0:
|
print('Error - API_ID is missing, exiting now')
|
exit()
|
else:
|
API_ID = int(API_ID)
|
API_HASH = environ.get('API_HASH', '') #api hash of your telegram id
|
if len(API_HASH) == 0:
|
print('Error - API_HASH is missing, exiting now')
|
exit()
|
BOT_TOKEN = environ.get('BOT_TOKEN', '') #bot token from botfather
|
if len(BOT_TOKEN) == 0:
|
print('Error - BOT_TOKEN is missing, exiting now')
|
exit()
|
PORT = int(environ.get('PORT', '80')) #don't change anything
|
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