Running setup.py install for editdistance ... error
    ERROR: Command errored out with exit status 1:
     command: /home/raymond/Documents/openvino_notebooks/openvino_env/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-c0g2m3p6/editdistance/setup.py'"'"'; __file__='"'"'/tmp/pip-install-c0g2m3p6/editdistance/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-l8n7trt1/install-record.txt --single-version-externally-managed --compile --install-headers /home/raymond/Documents/openvino_notebooks/openvino_env/include/site/python3.8/editdistance
         cwd: /tmp/pip-install-c0g2m3p6/editdistance/
    Complete output (16 lines):
    running install
    running build
    running build_py
    creating build
    creating build/lib.linux-x86_64-3.8
    creating build/lib.linux-x86_64-3.8/editdistance
    copying editdistance/__init__.py -> build/lib.linux-x86_64-3.8/editdistance
    copying editdistance/_editdistance.h -> build/lib.linux-x86_64-3.8/editdistance
    copying editdistance/def.h -> build/lib.linux-x86_64-3.8/editdistance
    running build_ext
    building 'editdistance.bycython' extension
    creating build/temp.linux-x86_64-3.8
    creating build/temp.linux-x86_64-3.8/editdistance
    x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I./editdistance -I/home/raymond/Documents/openvino_notebooks/openvino_env/include -I/usr/include/python3.8 -c editdistance/_editdistance.cpp -o build/temp.linux-x86_64-3.8/editdistance/_editdistance.o
    unable to execute 'x86_64-linux-gnu-gcc': No such file or directory
    error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
    ----------------------------------------
ERROR: Command errored out with exit status 1: /home/raymond/Documents/openvino_notebooks/openvino_env/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-c0g2m3p6/editdistance/setup.py'"'"'; __file__='"'"'/tmp/pip-install-c0g2m3p6/editdistance/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-l8n7trt1/install-record.txt --single-version-externally-managed --compile --install-headers /home/raymond/Documents/openvino_notebooks/openvino_env/include/site/python3.8/editdistance Check the logs for full command output.

CPU: 11th Gen Intel(R) Core(TM) i7-1185G7E @ 2.80GHz
GPU: Intel(R) Gen12LP HD Graphics (iGPU)

'unzip' is not recognized as an internal or external command,
operable program or batch file.

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-40-b5adb56a80e7> in <module>
----> 1 result = exec_net.infer(inputs={input_key: input_image})[output_key]
      2 result_index = np.argmax(result)

ie_api.pyx in openvino.inference_engine.ie_api.ExecutableNetwork.infer()

ie_api.pyx in openvino.inference_engine.ie_api.InferRequest.infer()

ie_api.pyx in openvino.inference_engine.ie_api.InferRequest.infer()

RuntimeError: Failed to queue inference: NC_ERROR

[I 2021-05-28 10:57:56.912 ServerApp] Saving file at /001-hello-world/001-hello-world.ipynb
E: [ncAPI] [    740904] [] checkGraphMonitorResponse:1937	Graph monitor request returned error -1
E: [ncAPI] [    740905] [] checkGraphMonitorResponse:1937	Graph monitor request returned error -1
E: [ncAPI] [    740905] [] checkGraphMonitorResponse:1937	Graph monitor request returned error -1
E: [global] [    741404] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    741404] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    741404] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    741853] [] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    741853] [] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [global] [    742405] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    742405] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    742405] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    743408] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    743408] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    743408] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    744410] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    744410] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    744410] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    745412] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    745412] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    745412] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    746411] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    746411] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    746411] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    747413] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    747413] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    747413] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    748415] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    748415] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    748415] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    749418] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    749418] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    749418] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    750422] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    750422] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    750422] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    751425] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    751425] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    751425] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [global] [    752428] [WatchdogThread] getLinkByStreamId:290	Condition failed: *out_link == NULL
E: [global] [    752428] [WatchdogThread] XLinkWriteData:126	Condition failed: (getLinkByStreamId(streamId, &link))
E: [watchdog] [    752428] [WatchdogThread] sendPingMessage:128	Failed send ping message: X_LINK_ERROR
E: [watchdog] [    752428] [WatchdogThread] watchdogRoutine:278	[0x7fc552b98f50] device, not respond, removing from watchdog

from pathlib import Path

import tensorflow as tf

model_xml = Path("model/flower_ir.xml")
dataset_url = (
    "https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz"
)

PS C:\Users\raymo\Documents> python -m venv openvino_env
PS C:\Users\raymo\Documents> openvino_env\Scripts\activate
openvino_env\Scripts\activate : File C:\Users\raymo\Documents\openvino_env\Scripts\Activate.ps1 cannot be loaded
because running scripts is disabled on this system. For more information, see about_Execution_Policies at
https:/go.microsoft.com/fwlink/?LinkID=135170.
At line:1 char:1
+ openvino_env\Scripts\activate
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : SecurityError: (:) [], PSSecurityException
    + FullyQualifiedErrorId : UnauthorizedAccess

[1000970000@jupyterhub-nb-xaenalt ~]$ python ./check_install.py 
System information:
Python executable: /opt/app-root/bin/python
Pip version: 21.2.4
OpenVINO environment activated: NOT OK
Jupyter kernel installed for openvino_env: NOT OK
Python version: 3.8 OK
OpenVINO pip package installed: OK
OpenVINO import succeeds: OK
OpenVINO development tools installed: OK
OpenVINO not installed globally: OK
No broken requirements: OK

It appears that you are not running Python in an `openvino_env` 
environment. It is possible use the notebooks in a different 
environment, but if you run into trouble, please follow the instructions 
in the README to install and activate the `openvino_env` environment.

The Python version in openvino_env does not match the openvino_env Jupyter kernel. This may not be an issue. If you experience issues, please follow the instructions in the README to reinstall the kernel.

The README.md file is located in the openvino_notebooks directory 
and at https://github.com/openvinotoolkit/openvino_notebooks

Processing MRPC...
Local MRPC data not specified, downloading data from https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt
---------------------------------------------------------------------------
SSLError                                  Traceback (most recent call last)
/usr/lib/python3.6/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
   1324                 h.request(req.get_method(), req.selector, req.data, headers,
-> 1325                           encode_chunked=req.has_header('Transfer-encoding'))
   1326             except OSError as err: # timeout error

/usr/lib/python3.6/http/client.py in request(self, method, url, body, headers, encode_chunked)
   1280         """Send a complete request to the server."""
-> 1281         self._send_request(method, url, body, headers, encode_chunked)
   1282 

/usr/lib/python3.6/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
   1326             body = _encode(body, 'body')
-> 1327         self.endheaders(body, encode_chunked=encode_chunked)
   1328 

/usr/lib/python3.6/http/client.py in endheaders(self, message_body, encode_chunked)
   1275             raise CannotSendHeader()
-> 1276         self._send_output(message_body, encode_chunked=encode_chunked)
   1277 

/usr/lib/python3.6/http/client.py in _send_output(self, message_body, encode_chunked)
   1041         del self._buffer[:]
-> 1042         self.send(msg)
   1043 

/usr/lib/python3.6/http/client.py in send(self, data)
    979             if self.auto_open:
--> 980                 self.connect()
    981             else:

/usr/lib/python3.6/http/client.py in connect(self)
   1441             self.sock = self._context.wrap_socket(self.sock,
-> 1442                                                   server_hostname=server_hostname)
   1443             if not self._context.check_hostname and self._check_hostname:

/usr/lib/python3.6/ssl.py in wrap_socket(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session)
    406                          server_hostname=server_hostname,
--> 407                          _context=self, _session=session)
    408 

/usr/lib/python3.6/ssl.py in __init__(self, sock, keyfile, certfile, server_side, cert_reqs, ssl_version, ca_certs, do_handshake_on_connect, family, type, proto, fileno, suppress_ragged_eofs, npn_protocols, ciphers, server_hostname, _context, _session)
    816                         raise ValueError("do_handshake_on_connect should not be specified for non-blocking sockets")
--> 817                     self.do_handshake()
    818 

/usr/lib/python3.6/ssl.py in do_handshake(self, block)
   1076                 self.settimeout(None)
-> 1077             self._sslobj.do_handshake()
   1078         finally:

/usr/lib/python3.6/ssl.py in do_handshake(self)
    688         """Start the SSL/TLS handshake."""
--> 689         self._sslobj.do_handshake()
    690         if self.context.check_hostname:

SSLError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)

During handling of the above exception, another exception occurred:

URLError                                  Traceback (most recent call last)
<ipython-input-7-ef0a62341f4d> in <module>
      2 
      3 os.makedirs(DATA_DIR, exist_ok=True)
----> 4 format_mrpc(DATA_DIR, "")

~/projects/openvino_notebooks/notebooks/105-language-quantize-bert/download_glue_data.py in format_mrpc(data_dir, path_to_data)
     71     assert os.path.isfile(mrpc_train_file), "Train data not found at %s" % mrpc_train_file
     72     assert os.path.isfile(mrpc_test_file), "Test data not found at %s" % mrpc_test_file
---> 73     urllib.request.urlretrieve(TASK2PATH["MRPC"], os.path.join(mrpc_dir, "dev_ids.tsv"))
     74 
     75     dev_ids = []

/usr/lib/python3.6/urllib/request.py in urlretrieve(url, filename, reporthook, data)
    246     url_type, path = splittype(url)
    247 
--> 248     with contextlib.closing(urlopen(url, data)) as fp:
    249         headers = fp.info()
    250 

/usr/lib/python3.6/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
    221     else:
    222         opener = _opener
--> 223     return opener.open(url, data, timeout)
    224 
    225 def install_opener(opener):

/usr/lib/python3.6/urllib/request.py in open(self, fullurl, data, timeout)
    524             req = meth(req)
    525 
--> 526         response = self._open(req, data)
    527 
    528         # post-process response

/usr/lib/python3.6/urllib/request.py in _open(self, req, data)
    542         protocol = req.type
    543         result = self._call_chain(self.handle_open, protocol, protocol +
--> 544                                   '_open', req)
    545         if result:
    546             return result

/usr/lib/python3.6/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)
    502         for handler in handlers:
    503             func = getattr(handler, meth_name)
--> 504             result = func(*args)
    505             if result is not None:
    506                 return result

/usr/lib/python3.6/urllib/request.py in https_open(self, req)
   1366         def https_open(self, req):
   1367             return self.do_open(http.client.HTTPSConnection, req,
-> 1368                 context=self._context, check_hostname=self._check_hostname)
   1369 
   1370         https_request = AbstractHTTPHandler.do_request_

/usr/lib/python3.6/urllib/request.py in do_open(self, http_class, req, **http_conn_args)
   1325                           encode_chunked=req.has_header('Transfer-encoding'))
   1326             except OSError as err: # timeout error
-> 1327                 raise URLError(err)
   1328             r = h.getresponse()
   1329         except:

URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)>

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.5.0 requires gast==0.4.0, but you have gast 0.3.3 which is incompatible.

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-32-e39202bdee35> in <module>
      6 )
      7 print(img)
----> 8 img_array = keras.preprocessing.image.img_to_array(img)
      9 img_array = tf.expand_dims(img_array, 0) # Create a batch
     10 

~\Documents\openvino_env\lib\site-packages\tensorflow\python\keras\preprocessing\image.py in img_to_array(img, data_format, dtype)
    226       dtype = backend.floatx()
    227     kwargs['dtype'] = dtype
--> 228   return image.img_to_array(img, data_format=data_format, **kwargs)
    229 
    230 

~\Documents\openvino_env\lib\site-packages\keras_preprocessing\image\utils.py in img_to_array(img, data_format, dtype)
    307     # or (channel, height, width)
    308     # but original PIL image has format (width, height, channel)
--> 309     x = np.asarray(img, dtype=dtype)
    310     if len(x.shape) == 3:
    311         if data_format == 'channels_first':

~\Documents\openvino_env\lib\site-packages\numpy\core\_asarray.py in asarray(a, dtype, order)
     81 
     82     """
---> 83     return array(a, dtype, copy=False, order=order)
     84 
     85 

TypeError: __array__() takes 1 positional argument but 2 were given

    # fps of input file
    self.__input_fps = self.__cap.get(cv2.CAP_PROP_FPS)
    if self.__input_fps <= 0:
        self.__input_fps = 60
    # target fps given by user
    self.__output_fps = fps if fps is not None else self.__input_fps

Hi, @Debskij

We should use the util functions Helena made on downloading files.

def download_file(
    url: PathLike, filename: PathLike = None, directory: PathLike = None, show_progress: bool = True
):
    """
    Download a file from a url and save it to the local filesystem. The file is saved to the
    current directory by default, or to `directory` if specified. If a filename is not given,
    the filename of the URL will be used.

    :param url: URL that points to the file to download
    :param filename: Name of the local file to save. Should point to the name of the file only,
                     not the full path. If None the filename from the url will be used
    :param directory: Directory to save the file to. Will be created if it doesn't exist
                      If None the file will be saved to the current working directory
    :param show_progress: If True, show an IPython ProgressBar.
Also, we shall print out the command and the model downloader is not showing any progress bar. I thought it was crashed and we shall have some ways to show progress there.

    # Run commands, first download model than convert it to inferable 
    !! $download_command
    print('Models downloded')

@raymondlo84
 
Member
raymondlo84 commented 4 days ago
plt.imshow(convert_result_to_image(image, resized_image, boxes_with_annotations, conf_labels=True))

We may want to size it up so the result is easier to read. The text at the end is very hard to read.

@ryanloney
 
Member
ryanloney commented 4 days ago
plt.imshow(convert_result_to_image(image, resized_image, boxes_with_annotations, conf_labels=True))

We may want to size it up so the result is easier to read. The text at the end is very hard to read.

@Debskij - can you fix this in a new PR? ^^

Model Optimizer arguments:
Common parameters:
	- Path to the Input Model: 	None
	- Path for generated IR: 	C:\Users\raymo\Documents\openvino_notebooks\notebooks\301-tensorflow-training-openvino\.
	- IR output name: 	flower_ir
	- Log level: 	ERROR
	- Batch: 	Not specified, inherited from the model
	- Input layers: 	Not specified, inherited from the model
	- Output layers: 	Not specified, inherited from the model
	- Input shapes: 	[1,180,180,3]
	- Mean values: 	Not specified
	- Scale values: 	Not specified
	- Scale factor: 	Not specified
	- Precision of IR: 	FP16
	- Enable fusing: 	True
	- Enable grouped convolutions fusing: 	True
	- Move mean values to preprocess section: 	None
	- Reverse input channels: 	False
TensorFlow specific parameters:
	- Input model in text protobuf format: 	False
	- Path to model dump for TensorBoard: 	None
	- List of shared libraries with TensorFlow custom layers implementation: 	None
	- Update the configuration file with input/output node names: 	None
	- Use configuration file used to generate the model with Object Detection API: 	None
	- Use the config file: 	None
	- Inference Engine found in: 	C:\Users\raymo\Documents\openvino_notebooks\openvino_env\lib\site-packages\openvino
Inference Engine version: 	2.1.2021.3.0-2774-d6ebaa2cd8e-refs/pull/4731/head
Model Optimizer version: 	    custom_main_9352e0a9c746fb7cf04f50b775bda6b77ff1aa6b
[ WARNING ] Model Optimizer and Inference Engine versions do no match.
[ WARNING ] Consider building the Inference Engine Python API from sources or reinstall OpenVINO (TM) toolkit using "pip install openvino" (may be incompatible with the current Model Optimizer version)