Add some missing entries to the changelog. (#606)

2 files changed, 11 insertions, 2 deletions

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 7f997cb0..f533710b 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -3,6 +3,14 @@ This documents the main changes to the `candle` crate.
 
 ## Unreleased
 ### Added
+- Add pose estimation to the yolo example
+  [589](https://github.com/huggingface/candle/pull/589).
+- Api to write GGUF files
+  [585](https://github.com/huggingface/candle/pull/585).
+- Support more quantization types
+  [580](https://github.com/huggingface/candle/pull/580).
+- Add EfficientNet as an example Computer Vision model
+  [572](https://github.com/huggingface/candle/pull/572).
 - Add a group parameter to convolutions
   [566](https://github.com/huggingface/candle/pull/566).
 - New dtype: int64
diff --git a/README.md b/README.md
index b510979a..2aa2a1fe 100644
--- a/README.md
+++ b/README.md
@@ -62,7 +62,8 @@ Check out our [examples](./candle-examples/examples/):
   the LLaMA model using the same quantization techniques as
   [llama.cpp](https://github.com/ggerganov/llama.cpp).
 - [yolo-v3](./candle-examples/examples/yolo-v3/) and
-  [yolo-v8](./candle-examples/examples/yolo-v8/): object detection models.
+  [yolo-v8](./candle-examples/examples/yolo-v8/): object detection and pose
+  estimation models.
 Run them using the following commands:
 ```
 cargo run --example whisper --release
@@ -74,7 +75,7 @@ cargo run --example stable-diffusion --release -- --prompt "a rusty robot holdin
 cargo run --example dinov2 --release -- --image path/to/myinput.jpg
 cargo run --example quantized --release
 cargo run --example yolo-v3 --release -- myimage.jpg
-cargo run --example yolo-v8 --release -- myimage.jpg
+cargo run --example yolo-v8 --release -- myimage.jpg # for pose estimation, add --task pose 
 ```
 
 In order to use **CUDA** add `--features cuda` to the example command line. If