nameerror: name 'contrib_tfprof' is not defined

File "train.py", line 169, in main Running inference for D:\New folder\OutOfRange_87_IDB3.JPEG Donite No. Took 0.06242632865905762 seconds Took 0.06382894515991211 seconds File "R:\minianaconda\minianaconda\lib\site-packages\tensorflow\python\util\deprecation.py", line 340, in new_func Tensorflow will still pump your images through as quickly as you can thow them at it. [SOLVED] NameError: name 'Timer' is not defined I cannot seem to use Timers. Actually, i am stuck now how can i save my trained object detection model on 2.0 and use it for predictionPlease help!!!! Took 0.06283164024353027 seconds I'm stuck at same point now! Took 0.05223202705383301 seconds Running inference for D:\New folder\OutOfRange_50_63VV.JPEG Donite any advice will be appreaciated! Done! Running inference for D:\New folder\OutOfRange_48_I58M.JPEG Donite Please, share colab link or simple stand alone code to reproduce the issue in our environment.It helps us in localizing the issue faster.Thanks! hparams=model_hparams.create_hparams(FLAGS.hparams_overrides), Done! Also, i'm not able to generate the .pb to run the object detection script. Traceback (most recent call last): Note that the upgrade documentation (https://www.tensorflow.org/guide/upgrade) has a note saying that tf.contrib references need to be updated manually and proposes to check https://github.com/tensorflow/addons. Running inference for D:\New folder\OutOfRange_62_0W6Z.JPEG Donite Running inference for D:\New folder\OutOfRange_77_N3JQ.JPEG Donite Any suggestions or help would be highly recommended. If I want to export a frozen graph which includes all weights and stuff of the recent checkpoint, how should I proceed if export_inference_graph obviously isn't working? Took 0.06482696533203125 seconds Sign in Thanks! Have a question about this project? I1230 23:26:42.123398 18304 model_lib_v2.py:708] {'Loss/BoxClassifierLoss/classification_loss': 0.095694065, Done! By clicking Sign up for GitHub, you agree to our terms of service and Running inference for D:\New folder\OutOfRange_80_NVPV.JPEG Donite 'learning_rate': 0.014666351} Took 0.060288190841674805 seconds My issue is 2 fold. Took 0.0628044605255127 seconds Took 0.06339073181152344 seconds tag:feature_template, Describe the feature and the current behavior/state. By default it exports recent checkpoint present in checkpoint_dir. privacy statement. Python NameError: name is not defined Solution - Techgeekbuzz To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. The "NameError: name is not defined" error occurs for multiple reasons: Accessing a variable that doesn't exist. In between putting my project down and coming back to it, Tensorflow 2.x was much more mature and many functions in 1.x seem to be deprecated. https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/auto_examples/plot_object_detection_saved_model.html. When you import a module, Python runs the code in the module and makes it available for you to use. To see all available qualifiers, see our documentation. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code. How to Fix NameError: 'os' is not defined in Python - AppDividend By clicking Sign up for GitHub, you agree to our terms of service and hi,thanks for your contibution!when i use Tensorflow-2.x ObjectDetection,i found the error "NameError: name 'contrib_training' is not defined". are you using exporter_main_v2.py for exporting your inference graph? privacy statement. Upgrading this code may require using an additional library (for example, absl.flags) or switching to a package in tensorflow/addons. Took 0.06254291534423828 seconds Maybe TF-2.7.0 resolved the errors i had in the beginning with TF-2.5.0, or to not paste TF-models into the conda-env TF installation folder, see below for context. I can't get it to work no matter what I do. File "/home/rudra/anaconda3/envs/tf241/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 40, in run tf_example_decoder.py:27:23: ERROR: Using member tf.contrib.slim.tfexample_decoder in deprecated module tf.contrib. 'Loss/total_loss': 0.29042736, Running inference for D:\New folder\OutOfRange_88_KJF6.JPEG Donite Detected 5 issues that require attention This issue has been automatically marked as stale because it has not had recent activity. Nameerror: name time is not defined [SOLVED] - Itsourcecode.com The nameerror name 'x' is not defined is an error message when you are trying to use a variable or a function named "x," but "x" has not been defined or assigned a value. Took 0.0465388298034668 seconds Running inference for D:\New folder\OutOfRange_57_5K7E.JPEG Donite Already on GitHub? Sign in Well occasionally send you account related emails. privacy statement. File "/usr/local/lib/python3.6/dist-packages/object_detection/exporter.py", line 642, in profile_inference_graph On using SavedModel for inference, it also causes an error. I ran into cases not covered by the tf_upgrade_v2 tool yet, namely certain TF1 models in the zoo (https://github.com/tensorflow/models/tree/master/research) that import from tensorflow.contrib - which was deprecated in TF2. Running inference for D:\New folder\OutOfRange_51_VEJE.JPEG Donite Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Have a question about this project? and did some research and come to know contrib module is not supported by tensorflow 2.0. . TFLiteConverter (Saved Model -> TFLite) NameError: name 'graph_matcher' is not defined. Python executes that directly. Share Improve this answer Follow Took 0.06377243995666504 seconds I get a In the end, my use case did not require me to use a frozen inference graph. But I need your help one more time. NameError: name 'contrib_tfprof' is not defined. use exporter_main_v2.py script only for exporting the models. can you tell me how to solve tf.contrib,the update guide can't explain how to solve it. Have a question about this project? - Manusha R:\SEMESTER 8\SC\models\research\object_detection\legacy>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config NameError: name 'contrib_training' is not defined, This should be reopened - I had the same error and this fix made it work: #9379 (comment), File "D:\indirilenler\models-2.3.0\models-2.3.0\research\object_detection\model_hparams.py", line 43, in create_hparams tfprof is a tool that profile various aspect of TensorFlow model. You switched accounts on another tab or window. centernet_resnet101_v1_fpn_512x512_coco17_tpu-8.config is, I fixed the issue by uninstalling everything and installing , setting-up enviroments all over again. We read every piece of feedback, and take your input very seriously. why do i keep getting NameError: name 'name' is not defined. on We only need to ensure that the variable we are accessing has the same name as we defined earlier in the program. _run_main(main, args) ERROR When Conver TF2 SSD_Mobile to int8 Tflite, https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/auto_examples/plot_object_detection_saved_model.html. ERROR line 62:23: Using member tf.contrib.lookup.HashTable in deprecated module tf.contrib. (Model Garden official or research directory) James Gallagher Aug 1, 2020 NameErrors are one of the most common types of Python errors. 1 Answer Sorted by: 15 You used from .. import . This runs so fast CV doesnt have time to render the images. Module: tf.contrib.tfprof tfprof is a tool that profile various aspect of TensorFlow model. 'Loss/regularization_loss': 0.0, optimizer = tf_opt.MovingAverageOptimizer( Traceback (most recent call last): Hi, Andrey. Thank you for filing the issue and sorry for delay! Running inference for D:\New folder\OutOfRange_56_FZWV.JPEG Donite ERROR line 71:31: Using member tf.contrib.lookup.HashTable in deprecated module tf.contrib. [yes ] I am reporting the issue to the correct repository. TensorFlow 2.0 Upgrade Script It will be closed if no further activity occurs. I remember getting similar error when I used the wrong script to export inference graph. to your account, https://github.com/tensorflow/models/tree/r2.3.0/research/object_detection, After run: python model_main_tf2.py --model_dir=$MODEL_DIR --num_train_steps=$NUM_TRAIN_STEPS --sample_1_of_n_eval_examples=$SAMPLE_1_OF_N_EVAL_EXAMPLES --pipeline_config_path=$PIPELINE_CONFIG_PATH --alsologtostderr Unless you have a genuine reason to continue with frozen_pb, then you should move to TF2. Running inference for D:\New folder\OutOfRange_86_QG53.JPEG Donite Took 0.06382489204406738 seconds conda create --name tensorflow tensorflow-gpu==2.5.0 Took 0.05983996391296387 seconds Took 0.0620265007019043 seconds Done! Sign in Anyone resolved the issue? The biggest issue for me was that I started with Tensorflow a long time back. Who will benefit with this feature? There are a lot of workarounds suggested by many users but no one works, at least for the Mask R-CNN Inception Resnet V2 model. tf.contrib.lookup.KeyValueTensorInitializer cannot be converted automatically. Everyone who tries to migrate TF1 models to TF2, when the files contain imports from tensorflow.contrib. NameError: name 'X' is not defined in Python [Solved] - bobbyhadz NameError: name 'contrib_tfprof' is not defined. Took 0.060837745666503906 seconds As mentioned above, we need to update contrib manually. Did you guys succeeded in solving this problem? tf.contrib.lookup.HashTable cannot be converted automatically. hparams = contrib_training.HParams( Therefore, the Python interpreter does not recognize what "time" you're referring to. Running inference for D:\New folder\OutOfRange_80_W1VG.JPEG Donite Sign up for a free GitHub account to open an issue and contact its maintainers and the community. NameError: name 'contrib_training' is not defined. But didn't work for me. The point being that not having a frozen inference graph is not the bottle neck I thought it was. By clicking Sign up for GitHub, you agree to our terms of service and Export Inference Graph feature in TF2?. Already on GitHub? did anyone find something on this issue? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Took 0.06069517135620117 seconds At first glance, I thought I'd seen it all before and is not what I'm looking for because it doesnt use a frozen inference graph. For example: from tensorflow import keras inputs = keras.Input(shape= (5,)) class Phone(object): condition = "new" def __init__(self, model, color, gb): self.model = model self.color = color self.gb = gb def display_phone(self): print("This is a %s %s with %s gb." autoaugment_image { policy_name: "v2" } Done! # pass # pylint: enable=g-import . Done! 0. config isn't defined if args.config_file is None (the default when --config-file isn't provided). Sign up for a free GitHub account to open an issue and contact its maintainers and the community. slim_example_decoder = tf.contrib.slim.tfexample_decoder Since I've started using Python my main problem is calling variables, exactly how do I do it? I added: Running inference for D:\New folder\OutOfRange_86_DHFF.JPEG Donite Running inference for D:\New folder\OutOfRange_61_J71B.JPEG Donite Model trained usign model_main_tf2.py. Running inference for D:\New folder\OutOfRange_50_Y7P6.JPEG Donite Is there any way to resolve this without reinstalling everything? if args.config_file: config = yaml.load (args.config_file) delattr (args, 'config_file') else: config = {} Done! to your account. Running inference for D:\New folder\OutOfRange_58_M6IW.JPEG Donite How can make inference graph file using models/research/object Python NameError | How NameError Works in Python with Examples - EDUCBA Took 0.06549406051635742 seconds windows: 10 Anyone resolved the issue? (b) centernet_mobilenetv2fpn_512x512_coco17_od, In both the cases, the training stopped with the error as below: We read every piece of feedback, and take your input very seriously. tf.contrib.lookup.HashTable cannot be converted automatically. I cant find a way to make TF2 do what I need and I can't save the saved model to frozen_inference_graph.pb. Output: Welcome to Itsourcecode Running the Windows Command Prompt and type in python 1 You would need to initialize the height variable before calling it in your loop. File "object_detection/model_main_tf2.py", line 118, in to your account. But while creating a frozen model using export_inference_graph.py getting below error-. File "model_main_tf2.py", line 105, in main How to fix this issue? Took 0.06183505058288574 seconds Done! Done! For tf2, model_main_tf2.py should be used. Please find the gist of it here. We read every piece of feedback, and take your input very seriously. I'm also stock at the same point with xport_inference_graph.py. Here there is a related issue. Solution 1:- Finding location of new packages Now the solution to the error is platform-independent. Took 0.06183433532714844 seconds Done! Solution 1: Add the required module For example: import io # Open the file in read mode with io.open("sample.txt", "r") as file: # Read the contents of the file file_contents = file.read() # Print the contents to the console print(file_contents) Thanks! Make sure to read the detailed log 'report.txt', tried to install downgrade tesorflow version but not supported in python 3.9.1. tried to run this code in cmd also but got same error. Done! Took 0.0608372688293457 seconds File "R:\Anaconda\anaconda\lib\site-packages\object_detection\builders\dataset_builder.py", line 27, in Running inference for D:\New folder\OutOfRange_55_2UAV.JPEG Donite Running inference for D:\New folder\OutOfRange_84_3TY6.JPEG Donite After this long, I cannot seee the developers circiling around to address this issue. which resulted in the same issue as the Author. I am unable to find reason why ? Done! Hi All, I'm training custom data set in TF2 and now i have finished training the model. Took 0.06484174728393555 seconds Running inference for D:\New folder\OutOfRange_88_N7JM.JPEG Donite Even if this meant I kind of threw away 4 months of work. The text was updated successfully, but these errors were encountered: @fsx950223 instead of which I have to use tf_slim? File "object_detection/model_main_tf2.py", line 108, in main _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) Can anyone know proper solution for this? ERROR line 72:20: Using member tf.contrib.lookup.KeyValueTensorInitializer in deprecated module tf.contrib. Done! Additional context Edit: model_builder_tf2_test.py completes successfully 6. Took 0.07757568359375 seconds Took 0.06582403182983398 seconds conda 4.9.2. Running inference for D:\New folder\OutOfRange_44_77RU.JPEG Donite But now I'm getting. You switched accounts on another tab or window. Took 0.06381535530090332 seconds Took 0.06382966041564941 seconds My workaround in utils/autoaugment_utils.py : Further to the same problem, I installed tensorflow==2.4.1 and used models-r2.5.0. You signed in with another tab or window. For details and . File "train.py", line 186, in sys.exit(main(argv)) 2021-04-28 08:42:08.434620: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (rudra-System-Product-Name): /proc/driver/nvidia/version does not exist Running inference for D:\New folder\OutOfRange_66_78DC.JPEG Donite Done! The text was updated successfully, but these errors were encountered: Provide the exact sequence of commands / steps that you executed before running into the problem.Thanks! I tried this and it works! Running inference for D:\New folder\OutOfRange_95_ZBRB.JPEG Donite Running inference for D:\New folder\OutOfRange_48_H6OG.JPEG Donite print (hello). Nameerror: name 'webdriver' is not defined - Itsourcecode.com Running inference for D:\New folder\OutOfRange_77_WQ73.JPEG Donite System information Done! tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code. I tried to fix that by running. Done! NameError: name 'contrib_tfprof' is not defined. Export - GitHub I investigated this problem for about 2 weeks, I have tried different ways but unsuccessfully. File "D:\Anaconda3\envs\object_detection\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run Running inference for D:\New folder\OutOfRange_94_IGWB.JPEG Donite Running inference for D:\New folder\OutOfRange_92_HF04.JPEG Donite 3 Answers Sorted by: 6 Have you tried adding to the top of your script: from keras.callbacks import TensorBoard Share Improve this answer Follow answered Feb 22, 2018 at 18:24 mostafa.elhoushi 3,710 1 17 10 This helps when you are using keras. Traceback (most recent call last): We read every piece of feedback, and take your input very seriously. Running inference for D:\New folder\OutOfRange_51_BXGV.JPEG Donite

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