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import os os.chdir(r"/content/Mask_RCNN/samples") import sys import random import math import numpy as np import skimage.io import matplotlib import matplotlib.pyplot as plt

ROOT_DIR = os.path.abspath("../")

sys.path.append(ROOT_DIR) # To find local version of the library from mrcnn import utils from mrcnn import model as modellib from mrcnn import visualize

sys.path.append(os.path.join(ROOT_DIR, "samples/coco/")) # To find local version import coco

%matplotlib inline

MODEL_DIR = os.path.join(ROOT_DIR, "logs")

COCO_MODEL_PATH = os.path.join(ROOT_DIR, "mask_rcnn_coco.h5")

if not os.path.exists(COCO_MODEL_PATH): utils.download_trained_weights(COCO_MODEL_PATH)

IMAGE_DIR = os.path.join(ROOT_DIR, "images")

  • /usr/local/lib/python3.10/dist-packages/mask_rcnn-2.1-py3.10.egg/mrcnn/model.py in 21 import keras.backend as K 22 import keras.layers as KL ---> 23 import keras.engine as KE 24 import keras.models as KM 25 ModuleNotFoundError: No module named 'keras.engine' – Shrishti Maheshwari Aug 03 '23 at 15:23
  • Just dumping some error message without any other text is very rude and does not make a valid question. – Dr. Snoopy Aug 06 '23 at 09:02

0 Answers0