Delete gen_model_cpp.py

gen_model_cpp.py

@@ -1,96 +0,0 @@
-
-import datetime
-from pathlib import Path
-from jinja2 import Environment, FileSystemLoader
-import binascii
-import platform
-
-# Define the choices and corresponding strings for tflite location
-loc_choices = {
-    1: "MODEL_TFLITE_ATTRIBUTE",            # SRAM
-    2: "MODEL_TFLITE_ATTRIBUTE_FLASH",      # QSPI FLASH
-}
-
-import datetime
-from pathlib import Path
-from jinja2 import Environment, FileSystemLoader
-
-
-def generate_model_cpp(tflite_path, output_dir, namespace, tflite_loc, license_header):
-    tflite_loc_choice = loc_choices.get(tflite_loc, "MODEL_TFLITE_ATTRIBUTE")
-
-    # Get the path to the directory containing this script
-    script_dir = Path(__file__).parent
-
-    # Initialize Jinja2 environment
-    env = Environment(loader=FileSystemLoader(script_dir / 'templates'),
-                      trim_blocks=True,
-                      lstrip_blocks=True)
-
-    if not Path(tflite_path).is_file():
-        raise Exception(f"{tflite_path} not found")
-
-    # Resolve relative paths for output_dir and cpp_filename
-    output_dir = Path(output_dir).resolve()
-    cpp_filename = (output_dir / (namespace + ".cc")).resolve()
-    if platform.system() == "Windows":
-        print(f"++ Converting {Path(tflite_path).name} to {output_dir}\{cpp_filename.name}")
-    else:
-        print(f"++ Converting {Path(tflite_path).name} to {output_dir}/{cpp_filename.name}")
-
-    output_dir.mkdir(exist_ok=True)
-
-    model_data, model_length = get_tflite_data(tflite_path)
-    env.get_template('tflite.cc.template').stream(common_template_header=license_header,
-                                                  model_data=model_data,
-                                                  model_length=model_length,
-                                                  namespace=namespace,
-                                                  tflite_attribute=tflite_loc_choice).dump(str(cpp_filename))
-
-
-def get_tflite_data(tflite_path):
-    """
-    Reads a binary file and returns a C style array as a
-    list of strings.
-
-    Argument:
-        tflite_path:    path to the tflite model.
-
-    Returns:
-        tuple: (list of strings, int)
-            - List of strings representing the C style array
-            - Number of bytes in the binary file
-    """
-    with open(tflite_path, 'rb') as tflite_model:
-        data = tflite_model.read()
-
-    bytes_per_line = 32
-    hex_digits_per_line = bytes_per_line * 2
-    hexstream = binascii.hexlify(data).decode('utf-8')
-    hexstring = '{'
-
-    for i in range(0, len(hexstream), 2):
-        if 0 == (i % hex_digits_per_line):
-            hexstring += "\n"
-        hexstring += '0x' + hexstream[i:i+2] + ", "
-
-    hexstring += '};\n'
-    return [hexstring], len(data)
-
-# Optionally, you can still keep the command-line interface for standalone usage
-if __name__ == '__main__':
-    import argparse
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--tflite_path", help="Model (.tflite) path", required=True)
-    parser.add_argument("--output_dir", help="Output directory", required=True)
-    parser.add_argument('-e', '--expression', action='append', default=[], dest="expr")
-    parser.add_argument('--header', action='append', default=[], dest="headers")
-    parser.add_argument('-ns', '--namespaces', action='append', default=[], dest="namespaces")
-    parser.add_argument("--license_template", type=str, help="Header template file",
-                        default="header_template.txt")
-    parser.add_argument('-tl','--tflite_loc', type=int, choices=loc_choices.keys(),
-                    help="Choose an option (1 : SRAM, 2 : FLASH)", default=1,  required=False)
-
-    args = parser.parse_args()
-    license_header = ""
-    generate_model_cpp(args.tflite_path, args.output_dir, args.namespace, args.tflite_loc, license_header)