Steps are as follows
1. Copy the model to the models directory

2. modify examples/osrt_python/model_configs.py
   'dad-3dheads_v1' : {
        'model_path' : os.path.join(models_base_path, 'desay','headpose','v1.0','HeadposeGaze_V1.1.3_20240827_am62a.onnx')                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          ,
        # 'source' : {'model_url': 'https://git.ti.com/cgit/jacinto-ai/jacinto-ai-modelzoo/plain/models/vision/classification/imagenet1k/torchvision/modified_single_eye_pplcnet_focal_triplet_size128_epoch149_acc97_20240116_modify_triplet_batch1.onnx', 'opt': True,  'infer_shape' : True},
        'mean': [123.675,116.28,103.53],
        'scale' : [0.01712475,0.017507,0.01742919],
        'num_images' : numImages,
        'num_classes': 6,
        'session_name' : 'onnxrt' ,
        'model_type': 'classification',
		'calib_path': '../../../test_data/headpose_alignment_imgs_100/train',
        'num_images' : 100,
    },
	
3. unzip headpose_alignment_imgs_100.zip 

4. Copy the images to the test_data directory

5. modify examples/osrt_python/common_utils.py
  calibration_frames = 100
  
  
6. python3 onnxrt_ep.py -m dad-3dheads_v1  -d

7. python3 onnxrt_ep.py -m dad-3dheads_v1  -c

8. push TIDL models to EVM
