Update readme links

README.md

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 # HASS-Deepstack-object
-[Home Assistant](https://www.home-assistant.io/) custom components for using Deepstack object detection. [Deepstack](https://www.deepquestai.com/insider/) is a service which runs in a docker container and exposes deep-learning models via a REST API. There is no cost for using Deepstack, although you will need a machine with 8 GB RAM. On your machine with docker, pull the latest image (approx. 2GB):
+[Home Assistant](https://www.home-assistant.io/) custom components for using Deepstack object detection. [Deepstack](https://python.deepstack.cc/) is a service which runs in a docker container and exposes deep-learning models via a REST API. There is no cost for using Deepstack, although you will need a machine with 8 GB RAM. On your machine with docker, pull the latest image (approx. 2GB):
 
 ```
 sudo docker pull deepquestai/deepstack
 ```
 **Recommended OS** Deepstack docker containers are optimised for Linux or Windows 10 Pro. Mac and regular windows users my experience performance issues.
 
-**GPU users** Note that if your machine has an Nvidia GPU you can get a 5 x 20 times performance boost by using the GPU, [read the docs here](https://deepstackpython.readthedocs.io/en/latest/gpuinstall.html#gpuinstall).
+**GPU users** Note that if your machine has an Nvidia GPU you can get a 5 x 20 times performance boost by using the GPU.
 
 **Legacy machine users** If you are using a machine that doesn't support avx or you are having issues with making requests, Deepstack has a specific build for these systems. Use `deepquestai/deepstack:noavx` instead of `deepquestai/deepstack` when you are installing or running Deepstack.
 
@@ -28,7 +28,7 @@ This should return the predictions for that image.
 Place the `custom_components` folder in your configuration directory (or add its contents to an existing `custom_components` folder). Then configure object detection. Note that at we use `scan_interval` to (optionally) limit computation, [as described here](https://www.home-assistant.io/components/image_processing/#scan_interval-and-optimising-resources).
 
 ## Object Detection
-Deepstack [object detection](https://deepstackpython.readthedocs.io/en/latest/objectdetection.html) can identify 80 different kinds of objects, including people (`person`) and animals. On you machine with docker, run Deepstack with the object detection service active on port `5000`:
+Deepstack [object detection](https://python.deepstack.cc/object-detection) can identify 80 different kinds of objects, including people (`person`) and animals. On you machine with docker, run Deepstack with the object detection service active on port `5000`:
 ```
 sudo docker run -e VISION-DETECTION=True -e API-KEY="Mysecretkey" -v localstorage:/datastore -p 5000:5000 deepquestai/deepstack
 ```