| import sys |
| import pathlib |
| CURRENT_DIR = pathlib.Path(__file__).parent |
| sys.path.append(str(CURRENT_DIR)) |
|
|
| import onnxruntime |
| import cv2 |
| import numpy as np |
| from data.data_tiling import tiling_inference |
| import argparse |
|
|
|
|
| def main(args): |
| onnx_file_name = args.onnx_path |
| image_path = args.image_path |
| output_path = args.output_path |
|
|
| if args.ipu: |
| providers = ["VitisAIExecutionProvider"] |
| provider_options = [{"config_file": args.provider_config}] |
| else: |
| providers = ['CPUExecutionProvider'] |
| provider_options = None |
| ort_session = onnxruntime.InferenceSession(onnx_file_name, providers=providers, provider_options=provider_options) |
| lr = cv2.imread(image_path)[np.newaxis,:,:,:].astype(np.float32) |
|
|
| |
| sr = tiling_inference(ort_session, lr, 8, (56, 56)) |
| sr = np.clip(sr, 0, 255) |
| sr = sr.squeeze().astype(np.uint8) |
| cv2.imwrite(output_path, sr) |
|
|
|
|
|
|
| if __name__ == '__main__': |
| parser = argparse.ArgumentParser(description='PAN') |
| parser.add_argument('--onnx_path', |
| type=str, |
| default='PAN_int8.onnx', |
| help='Path to onnx model') |
| parser.add_argument('--image_path', |
| type=str, |
| default='test_data/test.png', |
| help='Path to your low resolution input image.') |
| parser.add_argument('--output_path', |
| type=str, |
| default='test_data/sr.png', |
| help='Path to your upscaled output image.') |
| parser.add_argument('--provider_config', |
| type=str, |
| default="vaip_config.json", |
| help="Path of the config file for seting provider_options.") |
| parser.add_argument('--ipu', action='store_true', help='Use Ipu for interence.') |
|
|
| args = parser.parse_args() |
| main(args) |
|
|
