beingaryan / blind-assistance-object-detection-and-navigation Goto Github PK

Hi! I have followed the same procedure mentioned in your blog post, saved the code in a file named 'web_object_detection.py, but got the following error:

_[ WARN:0] global /tmp/pip-req-build-13uokl4r/opencv/modules/videoio/src/cap_v4l.cpp (890) open VIDEOIO(V4L2:/dev/video0): can't open camera by index
2021-07-01 10:37:25.471802: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2021-07-01 10:37:25.472225: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-07-01 10:37:25.481073: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
Traceback (most recent call last):
File "web_object_detection.py", line 177, in
(boxes, scores, classes, num_detections) = sess.run(
File "/home/usama/anaconda3/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 967, in run
result = self._run(None, fetches, feed_dict, options_ptr,
File "/home/usama/anaconda3/lib/python3.8/site-packages/tensorflow/python/client/session.py", line 1160, in _run
np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
File "/home/usama/anaconda3/lib/python3.8/site-packages/numpy/core/asarray.py", line 102, in asarray
return array(a, dtype, copy=False, order=order)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

$ pip install -r requirements.txt
ERROR: Invalid requirement: 'Protobuf 3.0.0' (from line 13 of requirements.txt)

'protoc' is not recognized as an internal or external command,
operable program or batch file.
I'm still having this error after I did same thing you did in video Is there any problem please tell me!!

File "c:\Users\KIIT\OneDrive\Desktop\study\project\object_detection_with_voice_feedback\models\research\object_detection\webcam_blind_voice.py", line 2, in
from utils import visualization_utils as vis_util
File "c:\Users\KIIT\OneDrive\Desktop\study\project\object_detection_with_voice_feedback\models\research\object_detection\utils\visualization_utils.py", line 41, in
from object_detection.core import keypoint_ops
ModuleNotFoundError: No module named 'object_detection'

Protocol message

Protocol message object_detection.protos.StringIntLabelMapItem has no non-repeated field "frequency".please help me solve this error..asap

Can you please elaborate on how to integrate it to an android app ?

While executing the webcam_blind_voice.py inspite of installing all the required packages an error is raised saying no module found named object_detection

can you please tell me how to install Packages and what tools are you used.In you tube the video is not clear i am not able to follow that can you please suggest mePlease help me

detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.compat.v1.GraphDef()
with tf.io.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')

DecodeError Traceback (most recent call last)
Input In [280], in <cell line: 2>()
4 with tf.io.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
5 serialized_graph = fid.read()
----> 6 od_graph_def.ParseFromString(serialized_graph)
7 tf.import_graph_def(od_graph_def, name='')

DecodeError: Error parsing message with type 'tensorflow.GraphDef'

https://youtu.be/oMpxDiazOgM