Updated README.

Author: rigolepe

README.md

@@ -77,7 +77,7 @@ version and converted on the fly.
 Image demo runs inference on an input folder of images and outputs those images with the keypoints and skeleton 
 overlayed.
 
-`python image_demo.py --model resnet50 --stride 32 --image_dir ./images --output_dir ./output`
+`python image_demo.py --model resnet50 --stride 16 --image_dir ./images --output_dir ./output`
 
 A folder of suitable test images can be downloaded by first running the `get_test_images.py` script.
 
@@ -91,14 +91,14 @@ using TF 2.0.0:
 
 ```
 ResNet50 stride 16: 32.41 FPS
-ResNet50 stride 32: 38.70 FPS (strange this is faster than with stride 16)
-MobileNet stride 8: 37.90 FPS (surprisingly slow for mobilenet, ran this several times, same result)
+ResNet50 stride 32: 38.70 FPS 
+MobileNet stride 8: 37.90 FPS (this is surprisingly slow for mobilenet, ran this several times, same result)
 MobileNet stride 16: 58.64 FPS
 ```
 
-I can't explain why the larger stride gives a faster result. It was expected that MobileNet would be faster than 
-ResNet50, but the MobileNet quality is visibly lower on the rendered images (running image_demo.py).
-
+Faster FPS have been reported by Ross Wightmann on the original codebase in 
+[rwightman/posenet-python](https://github.com/rwightman/posenet-python), so if anyone has a pull request that 
+improves the performance of this codebase, feel free to let me know! 
 
 #### webcam_demo.py