trainmodel | Cell 20 | Cell 22 | Search

To load a facial emotion recognition model, you need to open a JSON file, read its contents into a Keras model, and then load the model's weights from a corresponding HDF5 file. This process is typically performed using the steps outlined in the provided code breakdown.

Cell 21

json_file = open("facialemotionmodel.json", "r")
model_json = json_file.read()
json_file.close()
model = model_from_json(model_json)
model.load_weights("facialemotionmodel.h5")

What the code could have been:

import json
import h5py

def load_model(model_file, weights_file):
    """
    Loads a facial emotion model from a JSON file and weights from an H5 file.

    Args:
        model_file (str): Path to the JSON model file.
        weights_file (str): Path to the H5 weights file.

    Returns:
        model: The loaded Keras model.
    """
    with open(model_file, "r") as json_file:
        model_json = json_file.read()
        json_file.close()

    # Load the model architecture from the JSON file
    model = model_from_json(model_json)

    # Load the model weights from the H5 file
    model.load_weights(weights_file)

    return model


# Define the model file and weights file paths
model_file = "facialemotionmodel.json"
weights_file = "facialemotionmodel.h5"

# Load the model
model = load_model(model_file, weights_file)

Reading and Loading a JSON Model

Description

Loads a facial emotion recognition model from a JSON file and its corresponding weights from a HDF5 file.

Code Breakdown

### Step 1: Open the JSON file
* `open("facialemotionmodel.json", "r")`: Opens the file "facialemotionmodel.json" in read-only mode.
* Assigns the file object to `json_file`.

### Step 2: Read the JSON contents
* `json_file.read()`: Reads the contents of the file, including the JSON data.
* Assigns the JSON data to `model_json`.

### Step 3: Close the file
* `json_file.close()`: Closes the file object to free up system resources.

### Step 4: Load the model from JSON
* `model_from_json(model_json)`: Creates a Keras model from the JSON data stored in `model_json`.
* Assigns the loaded model to `model`.

### Step 5: Load the model weights
* `model.load_weights("facialemotionmodel.h5")`: Loads the model's weights from the HDF5 file "facialemotionmodel.h5".