seatedro

import numpy as np
from PIL import Image
from google.colab.patches import cv2_imshow

def load_image_into_numpy_array(path):
    """Load an image from file into a numpy array.

    Puts image into numpy array to feed into tensorflow graph.
    Note that by convention we put it into a numpy array with shape
    (height, width, channels), where channels=3 for RGB.

seatedro

output_directory = 'exported-models/'

# goes through the model is the training/ dir and gets the last one.
# you could choose a specfic one instead of the last
lst = os.listdir("models/my_mobilenet/")
# print(lst)
lst = [l for l in lst if 'ckpt-' in l and '.index' not in l]
steps=np.array([int(re.findall('\d+', l)[0]) for l in lst])
last_model = lst[steps.argmax()]
last_model_path = os.path.join('models/my_mobilenet', last_model)

seatedro

import pandas as pd
import numpy as np
import csv
import re
import cv2 
import os
import glob
import xml.etree.ElementTree as ET

import io