vatsl / trafficlight_detection-tensorflowapi Goto Github PK

python data_conversion_udacity_sim.py /Users/ppatil2/Documents/dataset sim_data.record
/Users/ppatil2/anaconda2/lib/python2.7/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
Traceback (most recent call last):
File "data_conversion_udacity_sim.py", line 104, in
tf.app.run()
File "/Users/ppatil2/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "data_conversion_udacity_sim.py", line 76, in main
writer = tf.python_io.TFRecordWriter(FLAGS.output_path)
File "/Users/ppatil2/anaconda2/lib/python2.7/site-packages/tensorflow/python/lib/io/tf_record.py", line 111, in init
compat.as_bytes(path), compat.as_bytes(compression_type), status)
File "/Users/ppatil2/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory

When I am trying to create TFR record files, I am getting this error. Please advice on how to proceed?
I have been trying to setup the tensorflow framework for detecting traffic lights and are stuck with the above error.

2022-04-07 04:07:56.723705: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
WARNING:tensorflow:There are non-GPU devices in tf.distribute.Strategy, not using nccl allreduce.
W0407 04:07:56.725668 140696386463616 cross_device_ops.py:1387] There are non-GPU devices in tf.distribute.Strategy, not using nccl allreduce.
INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
I0407 04:07:56.726938 140696386463616 mirrored_strategy.py:376] Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',)
Traceback (most recent call last):
File "object_detection/model_main_tf2.py", line 113, in
tf.compat.v1.app.run()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 312, in run
_run_main(main, args)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 258, in _run_main
sys.exit(main(argv))
File "object_detection/model_main_tf2.py", line 110, in main
record_summaries=FLAGS.record_summaries)
File "/content/drive/MyDrive/Colab Notebooks/sohoa_cmnd_text/models/research/object_detection/model_lib_v2.py", line 488, in train_loop
pipeline_config_path, config_override=config_override)
File "/content/drive/MyDrive/Colab Notebooks/sohoa_cmnd_text/models/research/object_detection/utils/config_util.py", line 138, in get_configs_from_pipeline_file
proto_str = f.read()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/lib/io/file_io.py", line 118, in read
self._preread_check()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/lib/io/file_io.py", line 81, in _preread_check
compat.path_to_str(self.__name), 1024 * 512)
tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory

i run command : python ./object_detection/model_main_tf2.py --model_dir=$MODEL_DIR --pipeline_config_path=$PIPELINE_CONFIG_PATH i have try but no success . please help me

Hi,

I am wondering if you can tell me what labeling tool did you use to annotate the images? Thanks in advance!

can I get the drive link of the "frozen_models/frozen_sim_inception/frozen_inference_graph.pb"?

Hi, first of all, thanks for sharing your code, you really helped me a lot. I have trained Faster RCNN and finally i got a success with testing. I just wanna ask, why detection in the first test image takes like 5-10 seconds and then every other takes only like 200ms? Do you have the same problem, or is it just me? I am just curious.

ModuleNotFoundError: No module named 'utilities'

I really wanted to know which version of Tensorflow Object Detection API did you use?
Unfortunately on training with the current version of Tensorflow Object Detection API, the trained models do not work with Tensorflow 1.3.0, which is now a requirement for Udacity Nanodegree.
We basically get the following error on running the trained model on TF1.3.0

ValueError: No op named NonMaxSuppressionV3 in defined operations

Please help!!

Great work Vatsal and thanks for sharing your experience!

Can I ask which version of TF you were using for this project? I am using TF version: 1.3.0.

I'm trying to train a ssd_inception_v2_coco model on my desktop, following your steps, and I'm getting the following error:

python ../../../tensorflow_models/research/object_detection/train.py ...` on my desktop.

  File "../../../tensorflow_models/research/object_detection/train.py", line 167, in <module>
    tf.app.run()
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "../../../tensorflow_models/research/object_detection/train.py", line 163, in main
    worker_job_name, is_chief, FLAGS.train_dir)
  File "/media/xxxx/Projects/tensorflow_models/research/object_detection/trainer.py", line 235, in train
    train_config.prefetch_queue_capacity, data_augmentation_options)
  File "/media/xxxx/Projects/tensorflow_models/research/object_detection/trainer.py", line 59, in create_input_queue
    tensor_dict = create_tensor_dict_fn()
  File "../../../tensorflow_models/research/object_detection/train.py", line 120, in get_next
    dataset_builder.build(config)).get_next()
  File "/media/masoud/DATA/Projects/tensorflow_models/research/object_detection/builders/dataset_builder.py", line 138, in build
    label_map_proto_file=label_map_proto_file)
  File "/media/xxxx/Projects/tensorflow_models/research/object_detection/data_decoders/tf_example_decoder.py", line 210, in __init__
    slim_example_decoder.LookupTensor(
AttributeError: 'module' object has no attribute 'LookupTensor'

It looks like a version incompatibility. Do you have any idea?