{ "id": 299472, "title": "Help: Error when submitting notebook", "url": "/competitions/tensorflow-great-barrier-reef/discussion/299472", "author_name": "", "post_date": "2022-01-08T07:02:40.559551500Z", "votes": null, "comment_count": 2, "views": 0, "content": "

My notebook runs correctly with internet enabled. When I am submitting my notebook without internet I get the following error:

\n

`---------------------------------------------------------------------------
\nOSError Traceback (most recent call last)
\n/kaggle/working/yolov5/utils/plots.py in check_font(font, size)
\n 56 try:
\n---> 57 return ImageFont.truetype(str(font) if font.exists() else font.name, size)
\n 58 except Exception as e: # download if missing

\n

/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in truetype(font, size, index, encoding, layout_engine)
\n 852 try:
\n--> 853 return freetype(font)
\n 854 except OSError:

\n

/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in freetype(font)
\n 849 def freetype(font):
\n--> 850 return FreeTypeFont(font, size, index, encoding, layout_engine)
\n 851

\n

/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in init(self, font, size, index, encoding, layout_engine)
\n 209 self.font = core.getfont(
\n--> 210 font, size, index, encoding, layout_engine=layout_engine
\n 211 )

\n

OSError: cannot open resource

\n

During handling of the above exception, another exception occurred:

\n

gaierror Traceback (most recent call last)
\n/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
\n 1349 h.request(req.get_method(), req.selector, req.data, headers,
\n-> 1350 encode_chunked=req.has_header('Transfer-encoding'))
\n 1351 except OSError as err: # timeout error

\n

/opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)
\n 1280 \"\"\"Send a complete request to the server.\"\"\"
\n-> 1281 self._send_request(method, url, body, headers, encode_chunked)
\n 1282

\n

/opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
\n 1326 body = _encode(body, 'body')
\n-> 1327 self.endheaders(body, encode_chunked=encode_chunked)
\n 1328

\n

/opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)
\n 1275 raise CannotSendHeader()
\n-> 1276 self._send_output(message_body, encode_chunked=encode_chunked)
\n 1277

\n

/opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)
\n 1035 del self._buffer[:]
\n-> 1036 self.send(msg)
\n 1037

\n

/opt/conda/lib/python3.7/http/client.py in send(self, data)
\n 975 if self.auto_open:
\n--> 976 self.connect()
\n 977 else:

\n

/opt/conda/lib/python3.7/http/client.py in connect(self)
\n 1442
\n-> 1443 super().connect()
\n 1444

\n

/opt/conda/lib/python3.7/http/client.py in connect(self)
\n 947 self.sock = self._create_connection(
\n--> 948 (self.host,self.port), self.timeout, self.source_address)
\n 949 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)

\n

/opt/conda/lib/python3.7/socket.py in create_connection(address, timeout, source_address)
\n 706 err = None
\n--> 707 for res in getaddrinfo(host, port, 0, SOCK_STREAM):
\n 708 af, socktype, proto, canonname, sa = res

\n

/opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)
\n 751 addrlist = []
\n--> 752 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
\n 753 af, socktype, proto, canonname, sa = res

\n

gaierror: [Errno -3] Temporary failure in name resolution

\n

During handling of the above exception, another exception occurred:

\n

URLError Traceback (most recent call last)
\n/tmp/ipykernel_25/3942314954.py in
\n 1 CONF= 0.15
\n 2 IOU= 0.50
\n----> 3 model = load_model(Best_Model, conf=CONF, iou=IOU)
\n 4 for idx, (img, pred_df) in enumerate(tqdm(iter_test)):
\n 5 bboxes, confs = predict(model, img, size=IMG_SIZE, augment=True)

\n

/tmp/ipykernel_25/3261273385.py in load_model(Best_Model, conf, iou)
\n 4 path=Best_Model,
\n 5 source='local',
\n----> 6 force_reload=True) # local repo
\n 7 model.conf = conf # NMS confidence threshold
\n 8 model.iou = iou # NMS IoU threshold

\n

/opt/conda/lib/python3.7/site-packages/torch/hub.py in load(repo_or_dir, model, *args, **kwargs)
\n 380 repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, verbose, skip_validation)
\n 381
\n--> 382 model = _load_local(repo_or_dir, model, *args, **kwargs)
\n 383 return model
\n 384

\n

/opt/conda/lib/python3.7/site-packages/torch/hub.py in _load_local(hubconf_dir, model, *args, *kwargs)\n 409 \n 410 entry = _load_entry_from_hubconf(hub_module, model)\n--> 411 model = entry(args, **kwargs)
\n 412
\n 413 sys.path.remove(hubconf_dir)

\n

/kaggle/working/yolov5/hubconf.py in custom(path, autoshape, verbose, device)
\n 68 def custom(path='path/to/model.pt', autoshape=True, verbose=True, device=None):
\n 69 # YOLOv5 custom or local model
\n---> 70 return _create(path, autoshape=autoshape, verbose=verbose, device=device)
\n 71
\n 72

\n

/kaggle/working/yolov5/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)
\n 29 from pathlib import Path
\n 30
\n---> 31 from models.common import AutoShape, DetectMultiBackend
\n 32 from models.yolo import Model
\n 33 from utils.downloads import attempt_download

\n

/kaggle/working/yolov5/models/common.py in
\n 25 from utils.general import (LOGGER, check_requirements, check_suffix, check_version, colorstr, increment_path,
\n 26 make_divisible, non_max_suppression, scale_coords, xywh2xyxy, xyxy2xywh)
\n---> 27 from utils.plots import Annotator, colors, save_one_box
\n 28 from utils.torch_utils import copy_attr, time_sync
\n 29

\n

/kaggle/working/yolov5/utils/plots.py in
\n 66
\n 67
\n---> 68 class Annotator:
\n 69 if RANK in (-1, 0):
\n 70 check_font() # download TTF if necessary

\n

/kaggle/working/yolov5/utils/plots.py in Annotator()
\n 68 class Annotator:
\n 69 if RANK in (-1, 0):
\n---> 70 check_font() # download TTF if necessary
\n 71
\n 72 # YOLOv5 Annotator for train/val mosaics and jpgs and detect/hub inference annotations

\n

/kaggle/working/yolov5/utils/plots.py in check_font(font, size)
\n 59 url = \"https://ultralytics.com/assets/\" + font.name
\n 60 print(f'Downloading {url} to {font}…')
\n---> 61 torch.hub.download_url_to_file(url, str(font), progress=False)
\n 62 try:
\n 63 return ImageFont.truetype(str(font), size)

\n

/opt/conda/lib/python3.7/site-packages/torch/hub.py in download_url_to_file(url, dst, hash_prefix, progress)
\n 435 # certificates in older Python
\n 436 req = Request(url, headers={\"User-Agent\": \"torch.hub\"})
\n--> 437 u = urlopen(req)
\n 438 meta = u.info()
\n 439 if hasattr(meta, 'getheaders'):

\n

/opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
\n 220 else:
\n 221 opener = _opener
\n--> 222 return opener.open(url, data, timeout)
\n 223
\n 224 def install_opener(opener):

\n

/opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)
\n 523 req = meth(req)
\n 524
\n--> 525 response = self._open(req, data)
\n 526
\n 527 # post-process response

\n

/opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data)
\n 541 protocol = req.type
\n 542 result = self._call_chain(self.handle_open, protocol, protocol +
\n--> 543 '_open', req)
\n 544 if result:
\n 545 return result

\n

/opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, args)\n 501 for handler in handlers:\n 502 func = getattr(handler, meth_name)\n--> 503 result = func(args)
\n 504 if result is not None:
\n 505 return result

\n

/opt/conda/lib/python3.7/urllib/request.py in https_open(self, req)
\n 1391 def https_open(self, req):
\n 1392 return self.do_open(http.client.HTTPSConnection, req,
\n-> 1393 context=self.context, check_hostname=self._check_hostname)\n 1394 \n 1395 https_request = AbstractHTTPHandler.do_request

\n

/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
\n 1350 encode_chunked=req.has_header('Transfer-encoding'))
\n 1351 except OSError as err: # timeout error
\n-> 1352 raise URLError(err)
\n 1353 r = h.getresponse()
\n 1354 except:

\n

URLError: `

", "messages": [ { "id": "1642236", "postDate": "01/08/2022 07:02:40", "content": "

My notebook runs correctly with internet enabled. When I am submitting my notebook without internet I get the following error:

\n

`---------------------------------------------------------------------------
\nOSError Traceback (most recent call last)
\n/kaggle/working/yolov5/utils/plots.py in check_font(font, size)
\n 56 try:
\n---> 57 return ImageFont.truetype(str(font) if font.exists() else font.name, size)
\n 58 except Exception as e: # download if missing

\n

/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in truetype(font, size, index, encoding, layout_engine)
\n 852 try:
\n--> 853 return freetype(font)
\n 854 except OSError:

\n

/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in freetype(font)
\n 849 def freetype(font):
\n--> 850 return FreeTypeFont(font, size, index, encoding, layout_engine)
\n 851

\n

/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in init(self, font, size, index, encoding, layout_engine)
\n 209 self.font = core.getfont(
\n--> 210 font, size, index, encoding, layout_engine=layout_engine
\n 211 )

\n

OSError: cannot open resource

\n

During handling of the above exception, another exception occurred:

\n

gaierror Traceback (most recent call last)
\n/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
\n 1349 h.request(req.get_method(), req.selector, req.data, headers,
\n-> 1350 encode_chunked=req.has_header('Transfer-encoding'))
\n 1351 except OSError as err: # timeout error

\n

/opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)
\n 1280 \"\"\"Send a complete request to the server.\"\"\"
\n-> 1281 self._send_request(method, url, body, headers, encode_chunked)
\n 1282

\n

/opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
\n 1326 body = _encode(body, 'body')
\n-> 1327 self.endheaders(body, encode_chunked=encode_chunked)
\n 1328

\n

/opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)
\n 1275 raise CannotSendHeader()
\n-> 1276 self._send_output(message_body, encode_chunked=encode_chunked)
\n 1277

\n

/opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)
\n 1035 del self._buffer[:]
\n-> 1036 self.send(msg)
\n 1037

\n

/opt/conda/lib/python3.7/http/client.py in send(self, data)
\n 975 if self.auto_open:
\n--> 976 self.connect()
\n 977 else:

\n

/opt/conda/lib/python3.7/http/client.py in connect(self)
\n 1442
\n-> 1443 super().connect()
\n 1444

\n

/opt/conda/lib/python3.7/http/client.py in connect(self)
\n 947 self.sock = self._create_connection(
\n--> 948 (self.host,self.port), self.timeout, self.source_address)
\n 949 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)

\n

/opt/conda/lib/python3.7/socket.py in create_connection(address, timeout, source_address)
\n 706 err = None
\n--> 707 for res in getaddrinfo(host, port, 0, SOCK_STREAM):
\n 708 af, socktype, proto, canonname, sa = res

\n

/opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)
\n 751 addrlist = []
\n--> 752 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
\n 753 af, socktype, proto, canonname, sa = res

\n

gaierror: [Errno -3] Temporary failure in name resolution

\n

During handling of the above exception, another exception occurred:

\n

URLError Traceback (most recent call last)
\n/tmp/ipykernel_25/3942314954.py in
\n 1 CONF= 0.15
\n 2 IOU= 0.50
\n----> 3 model = load_model(Best_Model, conf=CONF, iou=IOU)
\n 4 for idx, (img, pred_df) in enumerate(tqdm(iter_test)):
\n 5 bboxes, confs = predict(model, img, size=IMG_SIZE, augment=True)

\n

/tmp/ipykernel_25/3261273385.py in load_model(Best_Model, conf, iou)
\n 4 path=Best_Model,
\n 5 source='local',
\n----> 6 force_reload=True) # local repo
\n 7 model.conf = conf # NMS confidence threshold
\n 8 model.iou = iou # NMS IoU threshold

\n

/opt/conda/lib/python3.7/site-packages/torch/hub.py in load(repo_or_dir, model, *args, **kwargs)
\n 380 repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, verbose, skip_validation)
\n 381
\n--> 382 model = _load_local(repo_or_dir, model, *args, **kwargs)
\n 383 return model
\n 384

\n

/opt/conda/lib/python3.7/site-packages/torch/hub.py in _load_local(hubconf_dir, model, *args, *kwargs)\n 409 \n 410 entry = _load_entry_from_hubconf(hub_module, model)\n--> 411 model = entry(args, **kwargs)
\n 412
\n 413 sys.path.remove(hubconf_dir)

\n

/kaggle/working/yolov5/hubconf.py in custom(path, autoshape, verbose, device)
\n 68 def custom(path='path/to/model.pt', autoshape=True, verbose=True, device=None):
\n 69 # YOLOv5 custom or local model
\n---> 70 return _create(path, autoshape=autoshape, verbose=verbose, device=device)
\n 71
\n 72

\n

/kaggle/working/yolov5/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)
\n 29 from pathlib import Path
\n 30
\n---> 31 from models.common import AutoShape, DetectMultiBackend
\n 32 from models.yolo import Model
\n 33 from utils.downloads import attempt_download

\n

/kaggle/working/yolov5/models/common.py in
\n 25 from utils.general import (LOGGER, check_requirements, check_suffix, check_version, colorstr, increment_path,
\n 26 make_divisible, non_max_suppression, scale_coords, xywh2xyxy, xyxy2xywh)
\n---> 27 from utils.plots import Annotator, colors, save_one_box
\n 28 from utils.torch_utils import copy_attr, time_sync
\n 29

\n

/kaggle/working/yolov5/utils/plots.py in
\n 66
\n 67
\n---> 68 class Annotator:
\n 69 if RANK in (-1, 0):
\n 70 check_font() # download TTF if necessary

\n

/kaggle/working/yolov5/utils/plots.py in Annotator()
\n 68 class Annotator:
\n 69 if RANK in (-1, 0):
\n---> 70 check_font() # download TTF if necessary
\n 71
\n 72 # YOLOv5 Annotator for train/val mosaics and jpgs and detect/hub inference annotations

\n

/kaggle/working/yolov5/utils/plots.py in check_font(font, size)
\n 59 url = \"https://ultralytics.com/assets/\" + font.name
\n 60 print(f'Downloading {url} to {font}…')
\n---> 61 torch.hub.download_url_to_file(url, str(font), progress=False)
\n 62 try:
\n 63 return ImageFont.truetype(str(font), size)

\n

/opt/conda/lib/python3.7/site-packages/torch/hub.py in download_url_to_file(url, dst, hash_prefix, progress)
\n 435 # certificates in older Python
\n 436 req = Request(url, headers={\"User-Agent\": \"torch.hub\"})
\n--> 437 u = urlopen(req)
\n 438 meta = u.info()
\n 439 if hasattr(meta, 'getheaders'):

\n

/opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
\n 220 else:
\n 221 opener = _opener
\n--> 222 return opener.open(url, data, timeout)
\n 223
\n 224 def install_opener(opener):

\n

/opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)
\n 523 req = meth(req)
\n 524
\n--> 525 response = self._open(req, data)
\n 526
\n 527 # post-process response

\n

/opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data)
\n 541 protocol = req.type
\n 542 result = self._call_chain(self.handle_open, protocol, protocol +
\n--> 543 '_open', req)
\n 544 if result:
\n 545 return result

\n

/opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, args)\n 501 for handler in handlers:\n 502 func = getattr(handler, meth_name)\n--> 503 result = func(args)
\n 504 if result is not None:
\n 505 return result

\n

/opt/conda/lib/python3.7/urllib/request.py in https_open(self, req)
\n 1391 def https_open(self, req):
\n 1392 return self.do_open(http.client.HTTPSConnection, req,
\n-> 1393 context=self.context, check_hostname=self._check_hostname)\n 1394 \n 1395 https_request = AbstractHTTPHandler.do_request

\n

/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
\n 1350 encode_chunked=req.has_header('Transfer-encoding'))
\n 1351 except OSError as err: # timeout error
\n-> 1352 raise URLError(err)
\n 1353 r = h.getresponse()
\n 1354 except:

\n

URLError: `

", "rawMarkdown": "My notebook runs correctly with internet enabled. When I am submitting my notebook without internet I get the following error:\n\n\n\n`---------------------------------------------------------------------------\nOSError Traceback (most recent call last)\n/kaggle/working/yolov5/utils/plots.py in check_font(font, size)\n 56 try:\n---> 57 return ImageFont.truetype(str(font) if font.exists() else font.name, size)\n 58 except Exception as e: # download if missing\n\n/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in truetype(font, size, index, encoding, layout_engine)\n 852 try:\n--> 853 return freetype(font)\n 854 except OSError:\n\n/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in freetype(font)\n 849 def freetype(font):\n--> 850 return FreeTypeFont(font, size, index, encoding, layout_engine)\n 851 \n\n/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in __init__(self, font, size, index, encoding, layout_engine)\n 209 self.font = core.getfont(\n--> 210 font, size, index, encoding, layout_engine=layout_engine\n 211 )\n\nOSError: cannot open resource\n\nDuring handling of the above exception, another exception occurred:\n\ngaierror Traceback (most recent call last)\n/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)\n 1349 h.request(req.get_method(), req.selector, req.data, headers,\n-> 1350 encode_chunked=req.has_header('Transfer-encoding'))\n 1351 except OSError as err: # timeout error\n\n/opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)\n 1280 \"\"\"Send a complete request to the server.\"\"\"\n-> 1281 self._send_request(method, url, body, headers, encode_chunked)\n 1282 \n\n/opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)\n 1326 body = _encode(body, 'body')\n-> 1327 self.endheaders(body, encode_chunked=encode_chunked)\n 1328 \n\n/opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)\n 1275 raise CannotSendHeader()\n-> 1276 self._send_output(message_body, encode_chunked=encode_chunked)\n 1277 \n\n/opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)\n 1035 del self._buffer[:]\n-> 1036 self.send(msg)\n 1037 \n\n/opt/conda/lib/python3.7/http/client.py in send(self, data)\n 975 if self.auto_open:\n--> 976 self.connect()\n 977 else:\n\n/opt/conda/lib/python3.7/http/client.py in connect(self)\n 1442 \n-> 1443 super().connect()\n 1444 \n\n/opt/conda/lib/python3.7/http/client.py in connect(self)\n 947 self.sock = self._create_connection(\n--> 948 (self.host,self.port), self.timeout, self.source_address)\n 949 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)\n\n/opt/conda/lib/python3.7/socket.py in create_connection(address, timeout, source_address)\n 706 err = None\n--> 707 for res in getaddrinfo(host, port, 0, SOCK_STREAM):\n 708 af, socktype, proto, canonname, sa = res\n\n/opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)\n 751 addrlist = []\n--> 752 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):\n 753 af, socktype, proto, canonname, sa = res\n\ngaierror: [Errno -3] Temporary failure in name resolution\n\nDuring handling of the above exception, another exception occurred:\n\nURLError Traceback (most recent call last)\n/tmp/ipykernel_25/3942314954.py in \n 1 CONF= 0.15\n 2 IOU= 0.50\n----> 3 model = load_model(Best_Model, conf=CONF, iou=IOU)\n 4 for idx, (img, pred_df) in enumerate(tqdm(iter_test)):\n 5 bboxes, confs = predict(model, img, size=IMG_SIZE, augment=True)\n\n/tmp/ipykernel_25/3261273385.py in load_model(Best_Model, conf, iou)\n 4 path=Best_Model,\n 5 source='local',\n----> 6 force_reload=True) # local repo\n 7 model.conf = conf # NMS confidence threshold\n 8 model.iou = iou # NMS IoU threshold\n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in load(repo_or_dir, model, *args, **kwargs)\n 380 repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, verbose, skip_validation)\n 381 \n--> 382 model = _load_local(repo_or_dir, model, *args, **kwargs)\n 383 return model\n 384 \n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in _load_local(hubconf_dir, model, *args, **kwargs)\n 409 \n 410 entry = _load_entry_from_hubconf(hub_module, model)\n--> 411 model = entry(*args, **kwargs)\n 412 \n 413 sys.path.remove(hubconf_dir)\n\n/kaggle/working/yolov5/hubconf.py in custom(path, autoshape, verbose, device)\n 68 def custom(path='path/to/model.pt', autoshape=True, verbose=True, device=None):\n 69 # YOLOv5 custom or local model\n---> 70 return _create(path, autoshape=autoshape, verbose=verbose, device=device)\n 71 \n 72 \n\n/kaggle/working/yolov5/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)\n 29 from pathlib import Path\n 30 \n---> 31 from models.common import AutoShape, DetectMultiBackend\n 32 from models.yolo import Model\n 33 from utils.downloads import attempt_download\n\n/kaggle/working/yolov5/models/common.py in \n 25 from utils.general import (LOGGER, check_requirements, check_suffix, check_version, colorstr, increment_path,\n 26 make_divisible, non_max_suppression, scale_coords, xywh2xyxy, xyxy2xywh)\n---> 27 from utils.plots import Annotator, colors, save_one_box\n 28 from utils.torch_utils import copy_attr, time_sync\n 29 \n\n/kaggle/working/yolov5/utils/plots.py in \n 66 \n 67 \n---> 68 class Annotator:\n 69 if RANK in (-1, 0):\n 70 check_font() # download TTF if necessary\n\n/kaggle/working/yolov5/utils/plots.py in Annotator()\n 68 class Annotator:\n 69 if RANK in (-1, 0):\n---> 70 check_font() # download TTF if necessary\n 71 \n 72 # YOLOv5 Annotator for train/val mosaics and jpgs and detect/hub inference annotations\n\n/kaggle/working/yolov5/utils/plots.py in check_font(font, size)\n 59 url = \"https://ultralytics.com/assets/\" + font.name\n 60 print(f'Downloading {url} to {font}...')\n---> 61 torch.hub.download_url_to_file(url, str(font), progress=False)\n 62 try:\n 63 return ImageFont.truetype(str(font), size)\n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in download_url_to_file(url, dst, hash_prefix, progress)\n 435 # certificates in older Python\n 436 req = Request(url, headers={\"User-Agent\": \"torch.hub\"})\n--> 437 u = urlopen(req)\n 438 meta = u.info()\n 439 if hasattr(meta, 'getheaders'):\n\n/opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)\n 220 else:\n 221 opener = _opener\n--> 222 return opener.open(url, data, timeout)\n 223 \n 224 def install_opener(opener):\n\n/opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)\n 523 req = meth(req)\n 524 \n--> 525 response = self._open(req, data)\n 526 \n 527 # post-process response\n\n/opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data)\n 541 protocol = req.type\n 542 result = self._call_chain(self.handle_open, protocol, protocol +\n--> 543 '_open', req)\n 544 if result:\n 545 return result\n\n/opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)\n 501 for handler in handlers:\n 502 func = getattr(handler, meth_name)\n--> 503 result = func(*args)\n 504 if result is not None:\n 505 return result\n\n/opt/conda/lib/python3.7/urllib/request.py in https_open(self, req)\n 1391 def https_open(self, req):\n 1392 return self.do_open(http.client.HTTPSConnection, req,\n-> 1393 context=self._context, check_hostname=self._check_hostname)\n 1394 \n 1395 https_request = AbstractHTTPHandler.do_request_\n\n/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)\n 1350 encode_chunked=req.has_header('Transfer-encoding'))\n 1351 except OSError as err: # timeout error\n-> 1352 raise URLError(err)\n 1353 r = h.getresponse()\n 1354 except:\n\nURLError: `", "votes": null }, { "id": "1642253", "postDate": "01/08/2022 07:40:04", "content": "

Hi, you have to add Arial.ttf to your repository and then

\n
!mkdir -p /root/.config/Ultralytics\n!cp ../input/your_repository/Arial.ttf /root/.config/Ultralytics/\n
", "rawMarkdown": "Hi, you have to add Arial.ttf to your repository and then\n\n\n```\n!mkdir -p /root/.config/Ultralytics\n!cp ../input/your_repository/Arial.ttf /root/.config/Ultralytics/\n```", "votes": null }, { "id": "1642376", "postDate": "01/08/2022 10:02:12", "content": "

Thanks for your reply. I corrected my mistake and it works. I uploaded the Arial.tff in my dataset but did not properly create the Ultralytics folder in the root directory.

", "rawMarkdown": "Thanks for your reply. I corrected my mistake and it works. I uploaded the Arial.tff in my dataset but did not properly create the Ultralytics folder in the root directory.", "votes": null } ], "comments": [ { "id": 1642253, "author_name": "lukaszborecki", "author_url": "", "post_date": "01/08/2022 07:40:04", "content": "

Hi, you have to add Arial.ttf to your repository and then

\n
!mkdir -p /root/.config/Ultralytics\n!cp ../input/your_repository/Arial.ttf /root/.config/Ultralytics/\n
", "votes": null, "replies": [ { "id": 1642376, "author_name": "ddanndt", "author_url": "", "post_date": "01/08/2022 10:02:12", "content": "

Thanks for your reply. I corrected my mistake and it works. I uploaded the Arial.tff in my dataset but did not properly create the Ultralytics folder in the root directory.

", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "1642236": "My notebook runs correctly with internet enabled. When I am submitting my notebook without internet I get the following error:\n\n\n\n`---------------------------------------------------------------------------\nOSError Traceback (most recent call last)\n/kaggle/working/yolov5/utils/plots.py in check_font(font, size)\n 56 try:\n---> 57 return ImageFont.truetype(str(font) if font.exists() else font.name, size)\n 58 except Exception as e: # download if missing\n\n/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in truetype(font, size, index, encoding, layout_engine)\n 852 try:\n--> 853 return freetype(font)\n 854 except OSError:\n\n/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in freetype(font)\n 849 def freetype(font):\n--> 850 return FreeTypeFont(font, size, index, encoding, layout_engine)\n 851 \n\n/opt/conda/lib/python3.7/site-packages/PIL/ImageFont.py in __init__(self, font, size, index, encoding, layout_engine)\n 209 self.font = core.getfont(\n--> 210 font, size, index, encoding, layout_engine=layout_engine\n 211 )\n\nOSError: cannot open resource\n\nDuring handling of the above exception, another exception occurred:\n\ngaierror Traceback (most recent call last)\n/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)\n 1349 h.request(req.get_method(), req.selector, req.data, headers,\n-> 1350 encode_chunked=req.has_header('Transfer-encoding'))\n 1351 except OSError as err: # timeout error\n\n/opt/conda/lib/python3.7/http/client.py in request(self, method, url, body, headers, encode_chunked)\n 1280 \"\"\"Send a complete request to the server.\"\"\"\n-> 1281 self._send_request(method, url, body, headers, encode_chunked)\n 1282 \n\n/opt/conda/lib/python3.7/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)\n 1326 body = _encode(body, 'body')\n-> 1327 self.endheaders(body, encode_chunked=encode_chunked)\n 1328 \n\n/opt/conda/lib/python3.7/http/client.py in endheaders(self, message_body, encode_chunked)\n 1275 raise CannotSendHeader()\n-> 1276 self._send_output(message_body, encode_chunked=encode_chunked)\n 1277 \n\n/opt/conda/lib/python3.7/http/client.py in _send_output(self, message_body, encode_chunked)\n 1035 del self._buffer[:]\n-> 1036 self.send(msg)\n 1037 \n\n/opt/conda/lib/python3.7/http/client.py in send(self, data)\n 975 if self.auto_open:\n--> 976 self.connect()\n 977 else:\n\n/opt/conda/lib/python3.7/http/client.py in connect(self)\n 1442 \n-> 1443 super().connect()\n 1444 \n\n/opt/conda/lib/python3.7/http/client.py in connect(self)\n 947 self.sock = self._create_connection(\n--> 948 (self.host,self.port), self.timeout, self.source_address)\n 949 self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)\n\n/opt/conda/lib/python3.7/socket.py in create_connection(address, timeout, source_address)\n 706 err = None\n--> 707 for res in getaddrinfo(host, port, 0, SOCK_STREAM):\n 708 af, socktype, proto, canonname, sa = res\n\n/opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)\n 751 addrlist = []\n--> 752 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):\n 753 af, socktype, proto, canonname, sa = res\n\ngaierror: [Errno -3] Temporary failure in name resolution\n\nDuring handling of the above exception, another exception occurred:\n\nURLError Traceback (most recent call last)\n/tmp/ipykernel_25/3942314954.py in \n 1 CONF= 0.15\n 2 IOU= 0.50\n----> 3 model = load_model(Best_Model, conf=CONF, iou=IOU)\n 4 for idx, (img, pred_df) in enumerate(tqdm(iter_test)):\n 5 bboxes, confs = predict(model, img, size=IMG_SIZE, augment=True)\n\n/tmp/ipykernel_25/3261273385.py in load_model(Best_Model, conf, iou)\n 4 path=Best_Model,\n 5 source='local',\n----> 6 force_reload=True) # local repo\n 7 model.conf = conf # NMS confidence threshold\n 8 model.iou = iou # NMS IoU threshold\n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in load(repo_or_dir, model, *args, **kwargs)\n 380 repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, verbose, skip_validation)\n 381 \n--> 382 model = _load_local(repo_or_dir, model, *args, **kwargs)\n 383 return model\n 384 \n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in _load_local(hubconf_dir, model, *args, **kwargs)\n 409 \n 410 entry = _load_entry_from_hubconf(hub_module, model)\n--> 411 model = entry(*args, **kwargs)\n 412 \n 413 sys.path.remove(hubconf_dir)\n\n/kaggle/working/yolov5/hubconf.py in custom(path, autoshape, verbose, device)\n 68 def custom(path='path/to/model.pt', autoshape=True, verbose=True, device=None):\n 69 # YOLOv5 custom or local model\n---> 70 return _create(path, autoshape=autoshape, verbose=verbose, device=device)\n 71 \n 72 \n\n/kaggle/working/yolov5/hubconf.py in _create(name, pretrained, channels, classes, autoshape, verbose, device)\n 29 from pathlib import Path\n 30 \n---> 31 from models.common import AutoShape, DetectMultiBackend\n 32 from models.yolo import Model\n 33 from utils.downloads import attempt_download\n\n/kaggle/working/yolov5/models/common.py in \n 25 from utils.general import (LOGGER, check_requirements, check_suffix, check_version, colorstr, increment_path,\n 26 make_divisible, non_max_suppression, scale_coords, xywh2xyxy, xyxy2xywh)\n---> 27 from utils.plots import Annotator, colors, save_one_box\n 28 from utils.torch_utils import copy_attr, time_sync\n 29 \n\n/kaggle/working/yolov5/utils/plots.py in \n 66 \n 67 \n---> 68 class Annotator:\n 69 if RANK in (-1, 0):\n 70 check_font() # download TTF if necessary\n\n/kaggle/working/yolov5/utils/plots.py in Annotator()\n 68 class Annotator:\n 69 if RANK in (-1, 0):\n---> 70 check_font() # download TTF if necessary\n 71 \n 72 # YOLOv5 Annotator for train/val mosaics and jpgs and detect/hub inference annotations\n\n/kaggle/working/yolov5/utils/plots.py in check_font(font, size)\n 59 url = \"https://ultralytics.com/assets/\" + font.name\n 60 print(f'Downloading {url} to {font}...')\n---> 61 torch.hub.download_url_to_file(url, str(font), progress=False)\n 62 try:\n 63 return ImageFont.truetype(str(font), size)\n\n/opt/conda/lib/python3.7/site-packages/torch/hub.py in download_url_to_file(url, dst, hash_prefix, progress)\n 435 # certificates in older Python\n 436 req = Request(url, headers={\"User-Agent\": \"torch.hub\"})\n--> 437 u = urlopen(req)\n 438 meta = u.info()\n 439 if hasattr(meta, 'getheaders'):\n\n/opt/conda/lib/python3.7/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)\n 220 else:\n 221 opener = _opener\n--> 222 return opener.open(url, data, timeout)\n 223 \n 224 def install_opener(opener):\n\n/opt/conda/lib/python3.7/urllib/request.py in open(self, fullurl, data, timeout)\n 523 req = meth(req)\n 524 \n--> 525 response = self._open(req, data)\n 526 \n 527 # post-process response\n\n/opt/conda/lib/python3.7/urllib/request.py in _open(self, req, data)\n 541 protocol = req.type\n 542 result = self._call_chain(self.handle_open, protocol, protocol +\n--> 543 '_open', req)\n 544 if result:\n 545 return result\n\n/opt/conda/lib/python3.7/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)\n 501 for handler in handlers:\n 502 func = getattr(handler, meth_name)\n--> 503 result = func(*args)\n 504 if result is not None:\n 505 return result\n\n/opt/conda/lib/python3.7/urllib/request.py in https_open(self, req)\n 1391 def https_open(self, req):\n 1392 return self.do_open(http.client.HTTPSConnection, req,\n-> 1393 context=self._context, check_hostname=self._check_hostname)\n 1394 \n 1395 https_request = AbstractHTTPHandler.do_request_\n\n/opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)\n 1350 encode_chunked=req.has_header('Transfer-encoding'))\n 1351 except OSError as err: # timeout error\n-> 1352 raise URLError(err)\n 1353 r = h.getresponse()\n 1354 except:\n\nURLError: `", "1642253": "Hi, you have to add Arial.ttf to your repository and then\n\n\n```\n!mkdir -p /root/.config/Ultralytics\n!cp ../input/your_repository/Arial.ttf /root/.config/Ultralytics/\n```", "1642376": "Thanks for your reply. I corrected my mistake and it works. I uploaded the Arial.tff in my dataset but did not properly create the Ultralytics folder in the root directory." }, "source": "meta" }