Update README.md

README.md

@@ -31,10 +31,11 @@ On the first screenshot below you can see Amazon Prime and Thames Water vans, bo
 ![Screenshot 2024-03-20 at 06 40 42](https://github.com/atv2016/frigate_ocr_recognizer/assets/16917203/c3bda13a-4d0e-4ad9-886b-830aa722a585)
 
 The second screenshot you see Amazon Prime stationary, as well as a DPD delivery van and truck again driving, at an angle (notice how EasyOCR picks up 2x DPD, one on the side and one on the back) and this is at least 20 meters away.
+
 ![Screenshot 2024-03-20 at 06 41 21](https://github.com/atv2016/frigate_ocr_recognizer/assets/16917203/22c211a7-0a9c-4d12-959d-d1b8305a2f86)
 
 <sub>1</sub> 1920x1280, 1080P upscaled is considered low resolution nowadays. However, i personally won't be upgrading any time soon as it adds a considerable amount of CPU cycles to video processing as well as memory on the GPU card that you will ne needing, so for me it is the sweet spot right now.<br>
-<sub>2</sub> 4K and above. 8MP (4K/2160P), 8K or even 12K is not unheard of. For ANPR camera's different rules apply.
+<sub>2</sub> 4K and above. 8MP (4K/2160P), 8K or even 12K is not unheard of. For ANPR camera's different rules apply.<br>
 <sub>3</sub> It is highly recommended to use a GPU with EasyOCR. Bonus is that you can also use it with Frigate, if you are not already. I am currently using a [MSI GeForce GTX 1050Ti 4GT LP Gaming Graphics Card - 4GB GDDR5, 1392MHz, PCI Express x16 3.0, 128-bit, DL-DVI-D, DP v 1.4, HDMI 2.0b](https://www.amazon.co.uk/gp/product/B01N683IAQ/ref=ppx_yo_dt_b_search_asin_title?ie=UTF8&psc=1) and i share this between Frigate and Compreface in a SFF server. I currently have Compreface shut down as i cannot run all 3 comfortably within 4Gb.<br>
 
 ### Setup