tamil tensorflow custom object detection on own dataset tutorial from scratch full tutorial part-2

import os
import pathlib

Clone the tensorflow models repository if it doesn't already exist
if "models" in pathlib.Path.cwd().parts:
while "models" in pathlib.Path.cwd().parts:
os.chdir('..')
elif not pathlib.Path('models').exists():
!git clone --depth 1 https://github.com/tensorflow/models


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cd models/research/
!protoc object_detection/protos/*.proto --python_out=.
!cp object_detection/packages/tf2/setup.py .
!python -m pip install .

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import matplotlib
import matplotlib.pyplot as plt

import os
import random
import io
import imageio
import glob
import scipy.misc
import numpy as np
from six import BytesIO
from PIL import Image, ImageDraw, ImageFont
from IPython.display import display, Javascript
from IPython.display import Image as IPyImage

import tensorflow as tf

from object_detection.utils import label_map_util
from object_detection.utils import config_util
from object_detection.utils import visualization_utils as viz_utils
from object_detection.utils import colab_utils
from object_detection.builders import model_builder

%matplotlib inline

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!python /content/models/research/object_detection/builders/model_builder_tf2_test.py


https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html

https://github.com/tensorflow/models/blob/master/research/object_detection/data/pet_label_map.pbtxt