Train TensorFlow Lite Model for Custom Object (License Plate) Detection with Custom Dataset

Поділитися
Вставка
  • Опубліковано 8 вер 2024
  • In this video, we delve into the exciting realm of custom object detection using TensorFlow Lite! We'll guide you through the process of training a personalized model specifically designed to recognize license plates. From gathering and preprocessing the data to training the model and exporting it to TensorFlow Lite for optimal efficiency and deployment on edge devices, this tutorial has got you covered.
    💡 Whether you're a developer, hobbyist, or tech enthusiast, this video will empower you to create your very own custom object detection model for license plates using TensorFlow Lite. Get ready to enhance your understanding of machine learning and computer vision while unlocking the potential for innovative applications!
    👍 Don't forget to like, share, and subscribe for more exciting tutorials and updates on AI, machine learning, and cutting-edge technologies! Let's embark on this exciting journey together. 🚀🤖
    Githiub Repo: github.com/Ari...
    Train YOLO V8 on Custom Dataset for Object Detection : • Train YOLO V8 on Custo...
    Custom Object (Licence Plate) Detection in Raspberry Pi with YOLO V8 and Python: • Custom Object (Licence...
    Licence Plate Recognition with YOLO V8 and Easy OCR using Custom Dataset: • Licence Plate Recognit...
    For future updates follow us on facebook: / sparklers2018
    You can also follow me on instagram for regular updates : / ari_the_maker
    #TensorFlowLite #ObjectDetection #CustomModel #MachineLearning #DeepLearning #ComputerVision #AI #LicensePlateDetection #CustomObjectDetection #TFLite #TensorFlow #NeuralNetworks #OpenCV #Python #ImageProcessing #ArtificialIntelligence #TrainingModels #CustomVision #MachineVision #EdgeComputing #ConvolutionalNeuralNetworks #Tutorial #Coding #Programming #DataScience #ModelTraining #ObjectLocalization #ComputerScience #VisualRecognition #CustomDataset #DataLabeling #VideoTutorial #SoftwareDevelopment #EmbeddedAI #AutomatedRecognition #CustomAI #Customization #OpenSource #CustomObjectRecognition #CustomTagging #MobileAppDevelopment #SmartTechnology #LicensePlateRecognition #DIYAI #AdvancedMachineLearning #TechExplained #LearnAI #BuildYourOwnAIModel

КОМЕНТАРІ • 23

  • @svarsha2579
    @svarsha2579 4 місяці тому

    Hi, the training part doesn't complete even after 6 hours. what could be the issue?

  • @ceynacecia_
    @ceynacecia_ 4 місяці тому

    2024-05-12 07:59:55.623431: W tensorflow/core/framework/dataset.cc:768] Input of GeneratorDatasetOp::Dataset will not be optimized because the dataset does not implement the AsGraphDefInternal() method needed to apply optimizations.
    how to fix?

  • @Wikipedieu
    @Wikipedieu 9 місяців тому +1

    hi, could you help me? i'm already finish training my own dataset (big thanks) but i've got error during running your LicenseDetector.py the messages is "from tensorflow.lite.python.interpreter import Interpreter
    ModuleNotFoundError: No module named 'tensorflow.lite.python.interpreter'"
    may you have any solution to solve this problem, thank you. keep it up 🙌

  • @minhazulmahmudriyad1559
    @minhazulmahmudriyad1559 4 місяці тому

    Hi there how can i use other models of tfod zoo. Just cant find the other two(checkpoint,config) except model name. It would be great if you show us how to do it.

  • @abdullahsuheylozmen3255
    @abdullahsuheylozmen3255 8 місяців тому

    I can't connect to the gpu while training the model. Even though TPU4 is selected, training takes place via the CPU.

  • @user-yo5oz5td6h
    @user-yo5oz5td6h 7 місяців тому

    sir is this compatible in flutter?

  • @TlTAN
    @TlTAN 10 місяців тому

    hi, is a really nice video, its working, but i have a question, my dataset is large, when the time of google colab is done, how can start the train again but from the las checkpoint?

    • @uriel2348
      @uriel2348 9 місяців тому

      I think it deletes everything when the time is done. Try checking the colab pro, maybe there you can get more time

    • @Ashwanth777
      @Ashwanth777 4 місяці тому

      hi bro is the code is running ?

  • @mohanrajudhandapani3241
    @mohanrajudhandapani3241 10 місяців тому

    Hello Brother
    I am getting error in this section and unable to proceed further , could you please help on this?
    pipeline_fname = '/content/models/mymodel/' + base_pipeline_file
    fine_tune_checkpoint = '/content/models/mymodel/' + model_name + '/checkpoint/ckpt-0'
    def get_num_classes(pbtxt_fname):
    from object_detection.utils import label_map_util
    label_map = label_map_util.load_labelmap(pbtxt_fname)
    categories = label_map_util.convert_label_map_to_categories(
    label_map, max_num_classes=90, use_display_name=True)
    category_index = label_map_util.create_category_index(categories)
    return len(category_index.keys())
    num_classes = get_num_classes(label_map_pbtxt_fname)
    print('Total classes:', num_classes)

    • @mohanrajudhandapani3241
      @mohanrajudhandapani3241 10 місяців тому

      Error :
      NotFoundError Traceback (most recent call last)
      in ()
      9 category_index = label_map_util.create_category_index(categories)
      10 return len(category_index.keys())
      ---> 11 num_classes = get_num_classes(label_map_pbtxt_fname)
      12 print('Total classes:', num_classes)
      3 frames
      /usr/local/lib/python3.10/dist-packages/tensorflow/python/lib/io/file_io.py in _preread_check(self)
      74 raise errors.PermissionDeniedError(None, None,
      75 "File isn't open for reading")
      ---> 76 self._read_buf = _pywrap_file_io.BufferedInputStream(
      77 compat.path_to_str(self.__name), 1024 * 512)
      78
      NotFoundError: /content/labelmap.pbtxt; No such file or directory

    • @user-nl2rw5vg4y
      @user-nl2rw5vg4y 10 місяців тому

      check the path and make sure that .pbtxt file created before

  • @jaybryanodero8110
    @jaybryanodero8110 6 місяців тому

    send collab note book link bro

  • @chandramohan1281
    @chandramohan1281 10 місяців тому

    How to create our own data set and use that ?

    • @pocketgamer8446
      @pocketgamer8446 10 місяців тому

      You can use the labelimg python package to label your own images

  • @user-ry8wu7ko8s
    @user-ry8wu7ko8s 11 місяців тому

    From where i get my key in roboflow

    • @oliverexcellent
      @oliverexcellent 11 місяців тому

      Roboflow automatically generates a key for you when you get your dataset. Choose "Download dataset" and then "show download code"

  • @chaimaez6651
    @chaimaez6651 7 місяців тому

    my model takes so much time to train (hours..). is that normal or can there be a problem ?