Enable README.md + Update README.md (FIX) [10/17/2025]

readme.md → README.md

@@ -4,19 +4,19 @@ Argument list:
 * ```save_path``` Path to save the PyTorch state dict
 * ```--statedict``` Export to state dict instead of TorchScript
 * ```--fp32``` Save weights at full precision
-* ```--skiptest``` Skip testing and save model immediately instead
+* ```--skiptest``` Skip testing and save the model immediately instead
 * ```--gpu``` Whether to attempt to use GPU for testing
 
 # Testing exported model
-The following script creates an MP4 video of interpolated frames between 2 input images:
+The following script creates a MP4 video of interpolated frames between 2 input images:
 ```
 python inference.py "model_path" "img1" "img2" [--save_path SAVE_PATH] [--gpu] [--fp16] [--frames FRAMES] [--fps FPS]
 ```
-* ```model_path``` Path to the exported TorchScript checkpoint
-* ```img1``` Path to the first image
-* ```img2``` Path to the second image
-* ```--save_path SAVE_PATH``` Path to save the interpolated frames as a video, if absent it will be saved in the same directory as ```img1``` is located and named ```output.mp4```
+* ```model_path``` The path to the exported TorchScript checkpoint
+* ```img1``` The path to the first image
+* ```img2``` The path to the second image
+* ```--save_path SAVE_PATH``` The path to save the interpolated frames as a video, if absent it will be saved in the same directory as ```img1``` is located and named ```output.mp4```
 * ```--gpu``` Whether to attempt to use GPU for predictions
 * ```--fp16``` Whether to use fp16 for calculations, speeds inference up on GPUs with tensor cores
-* ```--frames FRAMES``` Number of frames to interpolate between the input images
-* ```--fps FPS``` FPS of the output video
+* ```--frames FRAMES``` The number of frames to interpolate between the input images
+* ```--fps FPS``` FPS for the output video