Welcome to mirror list, hosted at ThFree Co, Russian Federation.

github.com/videolan/dav1d.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorJean-Baptiste Kempf <jb@videolan.org>2022-02-19 12:17:05 +0300
committerJean-Baptiste Kempf <jb@videolan.org>2022-02-19 16:19:15 +0300
commit6ed0802d2059351130a895339d42628b5af3ce7a (patch)
treedb69758051814f3019fa6781808204ceb6ffc2aa /README.md
parent8ccdf0f6b91e43b589c195151ec3bffb3db417f1 (diff)
Update README for 1.0
Diffstat (limited to 'README.md')
-rw-r--r--README.md12
1 files changed, 7 insertions, 5 deletions
diff --git a/README.md b/README.md
index 34a351e..a8a35e1 100644
--- a/README.md
+++ b/README.md
@@ -2,11 +2,13 @@
# dav1d
-**dav1d** is a new **AV1** cross-platform **d**ecoder, open-source, and focused on speed and correctness.
+**dav1d** is an **AV1** cross-platform **d**ecoder, open-source, and focused on speed and correctness.
+
+It is now battle-tested and production-ready and can be used everywhere.
The canonical repository URL for this repo is https://code.videolan.org/videolan/dav1d
-This project is partially funded by the *Alliance for Open Media*/**AOM**.
+This project was partially funded by the *Alliance for Open Media*/**AOM**.
## Goal and Features
@@ -38,11 +40,11 @@ The plan is the following:
9. Make high bit-depth fast on older mobile, by writing asm for ARMv7 chips,
10. Make high bit-depth fast on desktop, by writing asm for AVX2 chips,
11. Make high bit-depth fast on older desktop, by writing asm for SSSE3+ chips,
+12. Improve threading.
### On-going
-12. Improve C code base with [various tweaks](https://code.videolan.org/videolan/dav1d/wikis/task-list),
-13. Accelerate for less common architectures, like PPC, SSE2 or AVX-512.
-14. Improve threading.
+13. Improve C code base with [various tweaks](https://code.videolan.org/videolan/dav1d/wikis/task-list),
+14. Accelerate for less common architectures, like PPC, SSE2, RISC-V or AVX-512.
### After
15. Use more GPU decoding, when possible.