update readme

README.md

@@ -58,20 +58,22 @@ pip install -r requirements-eval.txt
 
 ### Test & Evaluation
 
-- Run inference on images
+- **Run inference on images**
 
 ```bash
 python onnx_inference.py --onnx psfrgan_nchw_fp32.onnx --latent latent.npy --input /Path/To/Image --out-dir outputs
 python onnx_inference.py --onnx psfrgan_nhwc_int8.onnx --latent latent.npy --input /Path/To/Image --out-dir outputs
 ```
 
-**Arguments:**
+_Arguments:_
 
-- `--input`: Accepts either a single image file path or a directory path. If it's a file, the script will process that image only. If it's a directory, the script will recursively scan for .png, .jpg, and .jpeg files and process all of them.
-- `--latent`: (Optional) Path to the latent code file (.npy). If not provided, random latent values will be generated with a fixed seed for reproducibility.
-- `--out-dir`: Output directory where the restored images will be saved.
+`--input`: Accepts either a single image file path or a directory path. If it's a file, the script will process that image only. If it's a directory, the script will recursively scan for .png, .jpg, and .jpeg files and process all of them.
 
-- Evaluate the quantized model
+`--latent`: (Optional) Path to the latent code file (.npy). If not provided, random latent values will be generated with a fixed seed for reproducibility.
+
+`--out-dir`: Output directory where the restored images will be saved.
+
+- **Evaluate the quantized model**
 
 ```bash
 # eval fp32