Update usage.md

Mu-jun · Nov 24, 2021 · 5a1137c · 5a1137c
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diff --git a/docs/guidance/usage.md b/docs/guidance/usage.md
@@ -14,28 +14,28 @@
 
 ### Simple face swapping for already face-aligned images
 ```
-python test_one_image.py --isTrain false --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path crop_224/6.jpg --pic_b_path crop_224/ds.jpg --output_path output/
+python test_one_image.py --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path crop_224/6.jpg --pic_b_path crop_224/ds.jpg --output_path output/ 
 ```
 
 ### Face swapping for video
 
 - Swap only one face within the video(the one with highest confidence by face detection).
 ```
-python test_video_swapsingle.py --isTrain false --use_mask --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_swapsingle.mp4 --temp_path ./temp_results
+python test_video_swapsingle.py --crop_size 224 --use_mask --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_swapsingle.mp4 --temp_path ./temp_results 
 ```
 - Swap all faces within the video.
 ```
-python test_video_swapmulti.py --isTrain false --use_mask --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_swapmulti.mp4 --temp_path ./temp_results
+python test_video_swapmulti.py --crop_size 224 --use_mask --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_swapmulti.mp4 --temp_path ./temp_results 
 ```
 - Swap the ***specific*** face within the video.
 ```
-python test_video_swapspecific.py --use_mask --pic_specific_path ./demo_file/specific1.png --isTrain false  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_specific.mp4 --temp_path ./temp_results 
+python test_video_swapspecific.py --crop_size 224 --use_mask --pic_specific_path ./demo_file/specific1.png --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_specific.mp4 --temp_path ./temp_results 
 ```
 When changing the specified face, you need to give a picture of the person whose face is to be changed. Then assign the picture path to the argument "***--pic_specific_path***". This picture should be a front face and show the entire head and neck, which can help accurately change the face (if you still don’t know how to choose the picture, you can refer to the specific*.png of [./demo_file/](https://github.com/neuralchen/SimSwap/tree/main/demo_file)). It would be better if this picture was taken from the video to be changed.
 
 - Swap ***multi specific*** face with **multi specific id** within the video.
 ```
-python test_video_swap_multispecific.py --isTrain false --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_multispecific.mp4 --temp_path ./temp_results --multisepcific_dir ./demo_file/multispecific
+python test_video_swap_multispecific.py --crop_size 224 --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_multispecific.mp4 --temp_path ./temp_results --multisepcific_dir ./demo_file/multispecific 
 ```
 The folder you assign to ***"--multisepcific_dir"*** should be looked like:
 ```
@@ -56,26 +56,36 @@ The result is that the face corresponding to SRC_01.jpg (png) in the video will
 
 - Swap only one face within one image(the one with highest confidence by face detection). The result would be saved to ./output/result_whole_swapsingle.jpg
 ```
-python test_wholeimage_swapsingle.py --isTrain false --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/
+python test_wholeimage_swapsingle.py --crop_size 224 --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/ 
 ```
 - Swap all faces within one image. The result would be saved to ./output/result_whole_swapmulti.jpg
 ```
-python test_wholeimage_swapmulti.py --isTrain false --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/
+python test_wholeimage_swapmulti.py --crop_size 224 --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/ 
 ```
 - Swap **specific** face within one image. The result would be saved to ./output/result_whole_swapspecific.jpg
 ```
-python test_wholeimage_swapspecific.py --isTrain false --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/ --pic_specific_path ./demo_file/specific2.png
+python test_wholeimage_swapspecific.py --crop_size 224 --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/ --pic_specific_path ./demo_file/specific2.png 
 ```
 - Swap **multi specific** face with **multi specific id** within one image. The result would be saved to ./output/result_whole_swap_multispecific.jpg
 ```
-python test_wholeimage_swap_multispecific.py --isTrain false --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/ --multisepcific_dir ./demo_file/multispecific
+python test_wholeimage_swap_multispecific.py --crop_size 224 --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/ --multisepcific_dir ./demo_file/multispecific 
 ```
+### About using Simswap 512 (beta version)
+We trained a beta version of Simswap 512 on [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ) and open sourced the model (if you think the Simswap 512 is cool, please star our  [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ) repo).
+
+The usage of applying Simswap 512 is to modify the value of the argument: "***--crop_size***" to 512 , take the command line of "Swap **multi specific** face with **multi specific id** within one image." as an example, the following command line can get the result without watermark:
+```
+python test_wholeimage_swap_multispecific.py --crop_size 512 --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/ --multisepcific_dir ./demo_file/multispecific 
+```
+The effect of Simswap 512 is shown below.
+<img src="../img/result_whole_swap_multispecific_512.jpg"/>
+
 ### About watermark of simswap logo
 The above example command lines are to add the simswap logo as the watermark by default. After our discussion, we have added a hyper parameter to control whether to remove watermark.
 
 The usage of removing the watermark is to add an argument: "***--no_simswaplogo***" to the command line, take the command line of "Swap all faces within one image" as an example, the following command line can get the result without watermark:
 ```
-python test_wholeimage_swapmulti.py --no_simswaplogo --isTrain false --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/
+python test_wholeimage_swapmulti.py --no_simswaplogo  --crop_size 224 --use_mask  --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --pic_b_path ./demo_file/multi_people.jpg --output_path ./output/
 ```
 ### About using mask for better result
 We provide two methods to paste the face back to the original image after changing the face: Using mask or using bounding box. At present, the effect of using mask is the best. All the above code examples are using mask. If you want to use the bounding box, you only need to remove the --use_mask in the code example.