d

[agrigoridou]

sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3.11 -m venv tf_env
The virtual environment was not created successfully because ensurepip is not
available.  On Debian/Ubuntu systems, you need to install the python3-venv
package using the following command.

    apt install python3.11-venv

You may need to use sudo with that command.  After installing the python3-venv
package, recreate your virtual environment.

Failing command: ['/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/bin/python3.11', '-Im', 'ensurepip', '--upgrade', '--default-pip']

sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

 python3 scenario_ssd.py
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 1, in <module>
    import airsim
ModuleNotFoundError: No module named 'airsim'

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ pip install airsim
Collecting airsim
  Downloading airsim-1.8.1.tar.gz (20 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [15 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 35, in <module>
        File "/tmp/pip-install-ga4hkt26/airsim_e825b057172e4671bc1b8f4e09587092/setup.py", line 2, in <module>
          from airsim import __version__
        File "/tmp/pip-install-ga4hkt26/airsim_e825b057172e4671bc1b8f4e09587092/airsim/__init__.py", line 1, in <module>
          from .client import *
        File "/tmp/pip-install-ga4hkt26/airsim_e825b057172e4671bc1b8f4e09587092/airsim/client.py", line 3, in <module>
          from .utils import *
        File "/tmp/pip-install-ga4hkt26/airsim_e825b057172e4671bc1b8f4e09587092/airsim/utils.py", line 11, in <module>
          from .types import *
        File "/tmp/pip-install-ga4hkt26/airsim_e825b057172e4671bc1b8f4e09587092/airsim/types.py", line 2, in <module>
          import msgpackrpc #install as admin: pip install msgpack-rpc-python
          ^^^^^^^^^^^^^^^^^
      ModuleNotFoundError: No module named 'msgpackrpc'
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-15 23:37:17.687881: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-15 23:37:17.761222: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-15 23:37:19.431437: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 11, in <module>
    client.confirmConnection()
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/airsim/client.py", line 139, in confirmConnection
    if self.ping():
       ^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/airsim/client.py", line 35, in ping
    return self.client.call('ping')
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/session.py", line 41, in call
    return self.send_request(method, args).get()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/session.py", line 51, in send_request
    self._transport.send_message([message.REQUEST, msgid, method, args])
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/transport/tcp.py", line 89, in send_message
    self.connect()
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/transport/tcp.py", line 98, in connect
    socket = ClientSocket(stream, self, self._encodings)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/transport/tcp.py", line 53, in __init__
    BaseSocket.__init__(self, stream, encodings)
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/transport/tcp.py", line 12, in __init__
    self._packer = msgpack.Packer(encoding=encodings[0], default=lambda x: x.to_msgpack())
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "msgpack/_packer.pyx", line 132, in msgpack._cmsgpack.Packer.__init__
TypeError: __init__() got an unexpected keyword argument 'encoding'
(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-15 23:38:37.435378: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-15 23:38:37.508415: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-15 23:38:39.232638: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757968719.607157  177476 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757968719.612789  177476 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
[OK] Καθαρισμός ολοκληρώθηκε.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 52, in <module>
    detections = detect_fn(input_tensor)
                 ^^^^^^^^^^^^^^^^^^^^^^^
TypeError: '_UserObject' object is not callable

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-15 23:41:08.422937: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-15 23:41:08.495362: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-15 23:41:10.154531: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757968870.525432  177573 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757968870.530778  177573 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
[OK] Καθαρισμός ολοκληρώθηκε.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/function_type_utils.py", line 442, in bind_function_inputs
    bound_arguments = function_type.bind_with_defaults(
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/core/function/polymorphism/function_type.py", line 264, in bind_with_defaults
    bound_arguments = self.bind(*args, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/inspect.py", line 3204, in bind
    return self._bind(args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/inspect.py", line 3130, in _bind
    raise TypeError(
TypeError: too many positional arguments

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/concrete_function.py", line 1179, in _call_impl
    return self._call_with_structured_signature(args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/concrete_function.py", line 1259, in _call_with_structured_signature
    function_type_utils.canonicalize_function_inputs(
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/function_type_utils.py", line 422, in canonicalize_function_inputs
    bound_arguments = bind_function_inputs(
                      ^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/function_type_utils.py", line 446, in bind_function_inputs
    raise TypeError(
TypeError: Binding inputs to tf.function failed due to `too many positional arguments`. Received args: (<tf.Tensor: shape=(1, 144, 256, 3), dtype=uint8, numpy=
array([[[[ 13,   0,   0],
         [ 22,   0,  13],
         [ 22,   0,  13],
         ...,
         [ 69,  53,  46],
         [ 69,  53,  42],
         [ 66,  53,  42]],

        [[ 13,  13,  13],
         [ 13,   0,   0],
         [ 22,  13,  13],
         ...,
         [ 64,  50,  42],
         [ 64,  50,  42],
         [ 64,  50,  42]],

        [[ 13,   0,   0],
         [ 13,   0,   0],
         [ 13,   0,  13],
         ...,
         [ 13,   0,   0],
         [ 13,   0,   0],
         [  0,   0,   0]],

        ...,

        [[174, 166, 163],
         [175, 167, 163],
         [174, 167, 163],
         ...,
         [173, 165, 162],
         [173, 165, 162],
         [173, 164, 161]],

        [[174, 166, 163],
         [174, 167, 163],
         [174, 166, 163],
         ...,
         [173, 165, 162],
         [173, 165, 162],
         [173, 164, 161]],

        [[173, 165, 162],
         [173, 165, 162],
         [174, 167, 163],
         ...,
         [173, 165, 162],
         [173, 164, 161],
         [173, 164, 161]]]], shape=(1, 144, 256, 3), dtype=uint8)>,) and kwargs: {} for signature: (*, input: TensorSpec(shape=(1, 320, 320, 3), dtype=tf.float32, name='input')) -> Dict[['output_0', TensorSpec(shape=(), dtype=tf.float32, name='output_0')], ['output_1', TensorSpec(shape=(), dtype=tf.float32, name='output_1')], ['output_3', TensorSpec(shape=(), dtype=tf.float32, name='output_3')], ['output_2', TensorSpec(shape=(), dtype=tf.float32, name='output_2')]].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 53, in <module>
    detections = infer(input_tensor)
                 ^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/concrete_function.py", line 1170, in __call__
    return self._call_impl(args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/concrete_function.py", line 1182, in _call_impl
    return self._call_with_flat_signature(args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/concrete_function.py", line 1242, in _call_with_flat_signature
    return self._call_flat(args, self.captured_inputs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/saved_model/load.py", line 146, in _call_flat
    return super()._call_flat(args, captured_inputs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/concrete_function.py", line 1322, in _call_flat
    return self._inference_function.call_preflattened(args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/atomic_function.py", line 216, in call_preflattened
    flat_outputs = self.call_flat(*args)
                   ^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/polymorphic_function/atomic_function.py", line 251, in call_flat
    outputs = self._bound_context.call_function(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/context.py", line 1688, in call_function
    outputs = execute.execute(
              ^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/python/eager/execute.py", line 53, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tensorflow.python.framework.errors_impl.InvalidArgumentError: cannot compute __inference_signature_wrapper_22157 as input #0(zero-based) was expected to be a float tensor but is a uint8 tensor [Op:__inference_signature_wrapper_22157]
(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-15 23:43:06.833924: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-15 23:43:06.903889: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-15 23:43:08.453721: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757968988.808826  177671 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757968988.814136  177671 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
[OK] Καθαρισμός ολοκληρώθηκε.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 60, in <module>
    boxes = detections['detection_boxes'].numpy()
            ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
KeyError: 'detection_boxes'
(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-15 23:45:09.757967: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-15 23:45:09.825015: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-15 23:45:11.349836: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757969111.707777  177764 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757969111.713258  177764 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
=== Detections Keys ===
output_1: shape=(), dtype=<dtype: 'float32'>
output_0: shape=(), dtype=<dtype: 'float32'>
output_2: shape=(), dtype=<dtype: 'float32'>
output_3: shape=(), dtype=<dtype: 'float32'>
[DEBUG] Το μοντέλο δεν έχει detection_boxes/scores. Δες τα παραπάνω keys.
[OK] Καθαρισμός ολοκληρώθηκε.

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-15 23:47:13.226149: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-15 23:47:13.293227: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-15 23:47:14.855559: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

Connected!
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757969235.209315  177893 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757969235.214969  177893 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
Model loaded from custom_model_lite/saved_model
[OK] Καθαρισμός ολοκληρώθηκε.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 61, in <module>
    detections = detect_fn(input_tensor)
                 ^^^^^^^^^^^^^^^^^^^^^^^
TypeError: '_UserObject' object is not callable
(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-15 23:50:25.831722: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-15 23:50:25.898964: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-15 23:50:27.401784: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

Connected!
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757969427.753617  178002 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757969427.758738  178002 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
Model loaded from custom_model_lite/saved_model
=== Detections Keys ===
output_1: shape=(), dtype=<dtype: 'float32'>
output_3: shape=(), dtype=<dtype: 'float32'>
output_2: shape=(), dtype=<dtype: 'float32'>
output_0: shape=(), dtype=<dtype: 'float32'>
[OK] Καθαρισμός ολοκληρώθηκε.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 117, in <module>
    cv2.putText(frame, f"Dist: {dist:.1f}m", (20,40),
cv2.error: OpenCV(4.12.0) :-1: error: (-5:Bad argument) in function 'putText'
> Overload resolution failed:
>  - img marked as output argument, but provided NumPy array marked as readonly
>  - Expected Ptr<cv::UMat> for argument 'img'

[agrigoridou]

=== Detections Keys ===
output_0: shape=(), dtype=<dtype: 'float32'>
output_1: shape=(), dtype=<dtype: 'float32'>
output_2: shape=(), dtype=<dtype: 'float32'>
output_3: shape=(), dtype=<dtype: 'float32'>
=== Detections Keys ===
output_0: shape=(), dtype=<dtype: 'float32'>
output_1: shape=(), dtype=<dtype: 'float32'>
output_2: shape=(), dtype=<dtype: 'float32'>
output_3: shape=(), dtype=<dtype: 'float32'>
=== Detections Keys ===
output_0: shape=(), dtype=<dtype: 'float32'>
output_1: shape=(), dtype=<dtype: 'float32'>
output_2: shape=(), dtype=<dtype: 'float32'>
output_3: shape=(), dtype=<dtype: 'float32'>
=== Detections Keys ===
output_0: shape=(), dtype=<dtype: 'float32'>
output_1: shape=(), dtype=<dtype: 'float32'>
output_2: shape=(), dtype=<dtype: 'float32'>
output_3: shape=(), dtype=<dtype: 'float32'>
^C
[!] Τερματισμός από χρήστη.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 128, in <module>
    client.enableApiControl(False)
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/airsim/client.py", line 58, in enableApiControl
    self.client.call('enableApiControl', is_enabled, vehicle_name)
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/session.py", line 41, in call
    return self.send_request(method, args).get()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/future.py", line 25, in get
    self.join()
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/future.py", line 22, in join
    self._loop.start()
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/msgpackrpc/loop.py", line 22, in start
    self._ioloop.start()
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tornado/ioloop.py", line 755, in start
    raise RuntimeError("IOLoop is already running")
RuntimeError: IOLoop is already running
(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python
Python 3.11.0rc1 (main, Aug 12 2022, 10:02:14) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2025-09-16 00:12:39.049445: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-16 00:12:39.112890: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-16 00:12:40.726770: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
>>> model = tf.saved_model.load("custom_model_lite/saved_model")
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757970761.126422  178549 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757970761.132575  178549 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
>>> print(model.signatures)
_SignatureMap({'serving_default': <ConcreteFunction (*, input: TensorSpec(shape=(1, 320, 320, 3), dtype=tf.float32, name='input')) -> Dict[['output_1', TensorSpec(shape=(), dtype=tf.float32, name='output_1')], ['output_0', TensorSpec(shape=(), dtype=tf.float32, name='output_0')], ['output_2', TensorSpec(shape=(), dtype=tf.float32, name='output_2')], ['output_3', TensorSpec(shape=(), dtype=tf.float32, name='output_3')]] at 0x74B35C237050>})
>>> 

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-16 00:14:35.089556: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-16 00:14:35.157890: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-16 00:14:36.689208: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

Connected!
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1757970877.038709  178647 cuda_executor.cc:1309] INTERNAL: CUDA Runtime error: Failed call to cudaGetRuntimeVersion: Error loading CUDA libraries. GPU will not be used.: Error loading CUDA libraries. GPU will not be used.
W0000 00:00:1757970877.043764  178647 gpu_device.cc:2342] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
Model loaded from custom_model_lite/saved_model
[OK] Καθαρισμός ολοκληρώθηκε.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 99, in <module>
    cv2.putText(frame, f"Dist: {dist:.1f}m", (20,40),
cv2.error: OpenCV(4.12.0) :-1: error: (-5:Bad argument) in function 'putText'
> Overload resolution failed:
>  - img marked as output argument, but provided NumPy array marked as readonly
>  - Expected Ptr<cv::UMat> for argument 'img'

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-16 00:24:28.441079: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-16 00:24:28.508474: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-16 00:24:30.015527: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

Connected!
/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/lite/python/interpreter.py:457: UserWarning:     Warning: tf.lite.Interpreter is deprecated and is scheduled for deletion in
    TF 2.20. Please use the LiteRT interpreter from the ai_edge_litert package.
    See the [migration guide](https://ai.google.dev/edge/litert/migration)
    for details.
    
  warnings.warn(_INTERPRETER_DELETION_WARNING)
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 22, in <module>
    interpreter = Interpreter(model_path=model_path)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/lite/python/interpreter.py", line 490, in __init__
    self._interpreter = _interpreter_wrapper.CreateWrapperFromFile(
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Could not open 'custom_ssd_model.tflite'.
(tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ 

[agrigoridou]

tf_env) sysadm@icsd20048vm:~/Desktop/AutonomousDrivingProject-main/AirSim_sim$ python3 scenario_ssd.py
2025-09-16 00:28:19.944831: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2025-09-16 00:28:20.012647: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-09-16 00:28:21.489926: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
Connected!
Client Ver:1 (Min Req: 1), Server Ver:1 (Min Req: 1)

Connected!
/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/tf_env/lib/python3.11/site-packages/tensorflow/lite/python/interpreter.py:457: UserWarning:     Warning: tf.lite.Interpreter is deprecated and is scheduled for deletion in
    TF 2.20. Please use the LiteRT interpreter from the ai_edge_litert package.
    See the [migration guide](https://ai.google.dev/edge/litert/migration)
    for details.
    
  warnings.warn(_INTERPRETER_DELETION_WARNING)
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
Model loaded from custom_model_lite/custom_ssd_model.tflite
[OK] Καθαρισμός ολοκληρώθηκε.
Traceback (most recent call last):
  File "/home/sysadm/Desktop/AutonomousDrivingProject-main/AirSim_sim/scenario_ssd.py", line 115, in <module>
    cv2.rectangle(frame, (xmin, ymin), (xmax, ymax), (255,0,0), 2)
cv2.error: OpenCV(4.12.0) :-1: error: (-5:Bad argument) in function 'rectangle'
> Overload resolution failed:
>  - img marked as output argument, but provided NumPy array marked as readonly
>  - img marked as output argument, but provided NumPy array marked as readonly
>  - Expected Ptr<cv::UMat> for argument 'img'
>  - Expected Ptr<cv::UMat> for argument 'img'