fix typo

Author: xinntao

PaperModel.md

@@ -61,7 +61,7 @@ wget https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth
     BASICSR_JIT=True python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs --save_root results --arch original --channel 1
 
     # for aligned images
-    BASICSR_JIT=True python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs --save_root results --arch original --channel 1 --aligned
+    BASICSR_JIT=True python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/cropped_faces --save_root results --arch original --channel 1 --aligned
     ```
 
 - Option 2: Have successfully compiled extensions during installation
@@ -70,5 +70,5 @@ wget https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth
     python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs --save_root results --arch original --channel 1
 
     # for aligned images
-    python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs --save_root results --arch original --channel 1 --aligned
+    python inference_gfpgan_full.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/cropped_faces --save_root results --arch original --channel 1 --aligned
     ```

README.md

@@ -78,7 +78,7 @@ python inference_gfpgan_full.py --upscale_factor 2 --test_path inputs/whole_imgs
 ## :european_castle: Model Zoo
 
 - [GFPGANCleanv1-NoCE-C2.pth](https://github.com/TencentARC/GFPGAN/releases/download/v0.2.0/GFPGANCleanv1-NoCE-C2.pth): No colorization; no CUDA extensions are required. It is still in training. Trained with more data with pre-processing.
-- [GFPGANv1.pth](https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth): The paper Model, with colorization.
+- [GFPGANv1.pth](https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth): The paper model, with colorization.
 
 ## :computer: Training