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Yeah... I got this answer too. You need to build a custom loader - this should help.

import tensorflow as tf
from keras.layers import DepthwiseConv2D
from keras.models import load_model
import cv2
import numpy as np

# Define a custom DepthwiseConv2D class without the groups parameter
class CustomDepthwiseConv2D(DepthwiseConv2D):
    def __init__(self, **kwargs):
        # Remove the 'groups' parameter if it exists
        if 'groups' in kwargs:
            del kwargs['groups']  # Remove the groups parameter
        super().__init__(**kwargs)

# Create a dictionary of custom objects to pass to the load_model function
custom_objects = {
    'DepthwiseConv2D': CustomDepthwiseConv2D,
}

# Load the model with the custom object
try:
    model = load_model("keras_model.h5", custom_objects=custom_objects, 
compile=False)
    print("Model loaded successfully.")
except Exception as e:
    print(f"Error loading model: {e}")

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