Skip to content

Commit fd186fd

Browse files
committed
docs: Correct docs.rs link and Markdown fixes
1 parent f8da18d commit fd186fd

File tree

3 files changed

+4
-6
lines changed

3 files changed

+4
-6
lines changed

Cargo.lock

Lines changed: 1 addition & 1 deletion
Some generated files are not rendered by default. Learn more about customizing how changed files appear on GitHub.

Cargo.toml

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@ description = "YOLO object detection model in Rust. Currently on YOLO v11."
44
authors = ["Yi-Jyun Pan <[email protected]>"]
55
keywords = ["yolo", "object-detection", "onnx", "rust", "machine-learning"]
66
categories = ["science"]
7-
version = "0.1.0"
7+
version = "0.1.1"
88
edition = "2024"
99
license = "MIT OR Apache-2.0"
1010
repository = "https://github.com/pan93412/yolo-rs"

README.md

Lines changed: 2 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
22

33
This project provides a Rust implementation of the YOLO v11 object detection model, enabling inference on images to identify objects along with their bounding boxes, labels, and confidence scores. It utilizes the YOLO v11 model in ONNX format and leverages the `ort` library for ONNX Runtime integration. The implementation is inspired by the [YOLOv8 example](https://github.com/pykeio/ort/tree/main/examples/yolov8) from the `ort` repository.
44

5-
See docs.rs for the [latest documentation](https://docs.rs/yolo).
5+
See docs.rs for the [latest documentation](https://docs.rs/yolo-rs).
66

77
## Features
88

@@ -16,9 +16,8 @@ See docs.rs for the [latest documentation](https://docs.rs/yolo).
1616
On a MacBook Pro (2024) with M3 Max, it tooks about **86ms** to inferring an image with the YOLO11x model.
1717

1818
<details>
19-
<summary>`yolo-cli` raw logs on MacBook Pro (2024) with M3 Max</summary>
19+
<summary>yolo-cli inference logs on MacBook Pro (2024) with M3 Max</summary>
2020

21-
```
2221
2024-12-18T13:17:31.565158Z INFO example_yolo_gui: Running inference…
2322
2024-12-18T13:17:31.651758Z INFO example_yolo_gui: Inference took 86.589625ms
2423
2024-12-18T13:17:31.651861Z INFO example_yolo_gui: Found entity "person" with confidence 0.91 at (23.53, 325.31) - (127.34, 480.19)
@@ -27,7 +26,6 @@ On a MacBook Pro (2024) with M3 Max, it tooks about **86ms** to inferring an ima
2726
2024-12-18T13:17:31.651956Z INFO example_yolo_gui: Found entity "baseball glove" with confidence 0.75 at (210.94, 409.50) - (240.06, 453.00)
2827
2024-12-18T13:17:31.651967Z INFO example_yolo_gui: Found entity "person" with confidence 0.66 at (20.17, 276.28) - (64.45, 364.97)
2928
2024-12-18T13:17:31.651982Z INFO example_yolo_gui: Found entity "baseball bat" with confidence 0.50 at (222.94, 372.84) - (275.81, 381.66)
30-
```
3129
</details>
3230

3331
## Examples

0 commit comments

Comments
 (0)