enable rpi hw decode, readme updates

also create missing default transcodes folder

README.md

@@ -83,6 +83,7 @@ docker create \
   -v /path/to/movies:/data/movies \
   -v /opt/vc/lib:/opt/vc/lib `#optional` \
   --device /dev/dri:/dev/dri `#optional` \
+  --device /dev/vc-mem:/dev/vc-mem `#optional` \
   --device /dev/vchiq:/dev/vchiq `#optional` \
   --device /dev/video10:/dev/video10 `#optional` \
   --device /dev/video11:/dev/video11 `#optional` \
@@ -118,6 +119,7 @@ services:
       - 8920:8920 #optional
     devices:
       - /dev/dri:/dev/dri #optional
+      - /dev/vc-mem:/dev/vc-mem #optional
       - /dev/vchiq:/dev/vchiq #optional
       - /dev/video10:/dev/video10 #optional
       - /dev/video11:/dev/video11 #optional
@@ -142,6 +144,7 @@ Container images are configured using parameters passed at runtime (such as thos
 | `-v /data/movies` | Media goes here. Add as many as needed e.g. `/data/movies`, `/data/tv`, etc. |
 | `-v /opt/vc/lib` | Path for Raspberry Pi OpenMAX libs *optional*. |
 | `--device /dev/dri` | Only needed if you want to use your Intel GPU for hardware accelerated video encoding (vaapi). |
+| `--device /dev/vc-mem` | Only needed if you want to use your Raspberry Pi MMAL video decoding (Enabled as OpenMax H264 decode in gui settings). |
 | `--device /dev/vchiq` | Only needed if you want to use your Raspberry Pi OpenMax video encoding (Bellagio). |
 | `--device /dev/video10` | Only needed if you want to use your Raspberry Pi V4L2 video encoding. |
 | `--device /dev/video11` | Only needed if you want to use your Raspberry Pi V4L2 video encoding. |
@@ -198,18 +201,19 @@ https://github.com/NVIDIA/nvidia-docker
 
 We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime `--runtime=nvidia` and add an environment variable `-e NVIDIA_VISIBLE_DEVICES=all` (can also be set to a specific gpu's UUID, this can be discovered by running `nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv` ). NVIDIA automatically mounts the GPU and drivers from your host into the jellyfin docker container.
 
-### OpenMAX (Raspberry Pi)
+### MMAL/OpenMAX (Raspberry Pi)
 
-Hardware acceleration users for Raspberry Pi OpenMAX will need to mount their /dev/vchiq video device inside of the container and their system OpenMax libs by passing the following options when running or creating the container:
+Hardware acceleration users for Raspberry Pi MMAL/OpenMAX will need to mount their `/dev/vc-mem` and `/dev/vchiq` video devices inside of the container and their system OpenMax libs by passing the following options when running or creating the container:
 
 ```
+--device=/dev/vc-mem:/dev/vc-mem
 --device=/dev/vchiq:/dev/vchiq
 -v /opt/vc/lib:/opt/vc/lib
 ```
 
 ### V4L2 (Raspberry Pi)
 
-Hardware acceleration users for Raspberry Pi V4L2 will need to mount their /dev/video1X devices inside of the container by passing the following options when running or creating the container:
+Hardware acceleration users for Raspberry Pi V4L2 will need to mount their `/dev/video1X` devices inside of the container by passing the following options when running or creating the container:
 ```
 --device=/dev/video10:/dev/video10
 --device=/dev/video11:/dev/video11
@@ -287,6 +291,7 @@ Once registered you can define the dockerfile to use with `-f Dockerfile.aarch64
 
 ## Versions
 
+* **11.04.20:** - Enable hw decode (mmal) on Raspberry Pi, update readme instructions, add donation info, create missing default transcodes folder.
 * **11.03.20:** - Add v4l2 support on Raspberry Pi; remove optional transcode mapping (location is selected in the gui, defaults to path under `/config`).
 * **30.01.20:** - Add nightly tag.
 * **09.01.20:** - Add Pi OpenMax support.