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Rename readme.me to readme.md

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  2. readme.me +0 -22
readme.md ADDED
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+ Argument list:
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+
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+ * ```model_path``` Path to the TF SavedModel
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+ * ```save_path``` Path to save the PyTorch state dict
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+ * ```--statedict``` Export to state dict instead of TorchScript
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+ * ```--fp32``` Save weights at full precision
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+ * ```--skiptest``` Skip testing and save model immediately instead
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+ * ```--gpu``` Whether to attempt to use GPU for testing
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+
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+ # Testing exported model
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+ The following script creates an MP4 video of interpolated frames between 2 input images:
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+ ```
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+ python inference.py "model_path" "img1" "img2" [--save_path SAVE_PATH] [--gpu] [--fp16] [--frames FRAMES] [--fps FPS]
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+ ```
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+ * ```model_path``` Path to the exported TorchScript checkpoint
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+ * ```img1``` Path to the first image
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+ * ```img2``` Path to the second image
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+ * ```--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```
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+ * ```--gpu``` Whether to attempt to use GPU for predictions
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+ * ```--fp16``` Whether to use fp16 for calculations, speeds inference up on GPUs with tensor cores
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+ * ```--frames FRAMES``` Number of frames to interpolate between the input images
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+ * ```--fps FPS``` FPS of the output video
readme.me DELETED
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- Argument list:
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-
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- * `model_path` Path to the TF SavedModel
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- * `save_path` Path to save the PyTorch state dict
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- * `--statedict` Export to state dict instead of TorchScript
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- * `--fp32` Save weights at full precision
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- * `--skiptest` Skip testing and save model immediately instead
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- * `--gpu` Whether to attempt to use GPU for testing
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-
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- # Testing exported model
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- The following script creates an MP4 video of interpolated frames between 2 input images:
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- ```
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- python inference.py "model_path" "img1" "img2" [--save_path SAVE_PATH] [--gpu] [--fp16] [--frames FRAMES] [--fps FPS]
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- ```
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- * `model_path` Path to the exported TorchScript checkpoint
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- * `img1` Path to the first image
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- * `img2` Path to the second image
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- * `--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```
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- * `--gpu` Whether to attempt to use GPU for predictions
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- * `--fp16` Whether to use fp16 for calculations, speeds inference up on GPUs with tensor cores
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- * `--frames FRAMES` Number of frames to interpolate between the input images
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- * `--fps FPS` FPS of the output video