🚀 Added
🔥 YOLOv11 in `inference` 🔥
We’re excited to announce that YOLOv11 has been added to `inference`! 🚀 You can now use both `inference` and the `inference` server to get predictions from the latest YOLOv11 model. 🔥
All thanks to probicheaux and SolomonLake 🏅
https://github.com/user-attachments/assets/ed6aa0db-cb20-4bb9-bd67-a79930cc6baf
<details>
<summary>Try the model in<code>inference</code> Python package</summary>
python
import cv2
from inference import get_model
image = cv2.imread("<your-image>")
model = get_model("yolov11n-640")
predictions = model.infer(image)
print(predictions)
</details>
💪 Workflows update
Google Vision OCR in workflows
Thanks to **open source contribution** from brunopicinin we have Google Vision OCR integrated into workflow ecosystem. Great to see open source community contribution 🏅
https://github.com/user-attachments/assets/0acf8db4-2fba-4f5b-b99e-93bcbbdda8fd
See [📖 documentation](https://inference.roboflow.com/workflows/blocks/google_vision_ocr/) of the new block to explore it's capabilities.
Images stitch Workflow block
📷 Your camera is not able to cover the whole area you want to observe? Don't worry! grzegorz-roboflow just added the Workflow block which would be able to combine the POV of multiple cameras into a single image that can be further processed in your Workflow.
<table>
<tr><th>image 1</th><th>image 2</th><th>stitched image</th></tr>
<tr>
<td><img src="https://github.com/user-attachments/assets/f6d6954b-99ed-446f-a9e3-662afc7ff2e0" /> </td>
<td><img src="https://github.com/user-attachments/assets/087c22ff-c560-412e-9061-d972f7e65ef8" /> </td>
<td><img src="https://github.com/user-attachments/assets/eaff81ce-7b57-4cad-a214-b83a38f115da" /> </td>
</tr>
</table>
📏 Size measurement block
Thanks to chandlersupple, we can now measure actual size of objects with Workflows! Take a look at [📖 documentation](https://inference.roboflow.com/workflows/blocks/size_measurement/) to discover how the block works.
Workflows profiler and Execution Engine speedup 🏇
We've added Workflows Profiler - ecosystem extension to profile the execution of your workflow. It works for [`inference` server requests](https://inference.roboflow.com/inference_helpers/inference_sdk/#inference-workflows) (both self-hosted and on Roboflow platform) as well as for [`InferencePipeline`](https://inference.roboflow.com/using_inference/inference_pipeline/#inferencepipeline-and-roboflow-workflows).
The cool thing about profiler is that it is compatible with `chrome://tracing` - so you can easily grab profiler output and render it in Google Chrome browser.
To profile your Workflow execution use the following code snippet - traces are saved in `./inference_profiling` directory by default.
python
from inference_sdk import InferenceHTTPClient
client = InferenceHTTPClient(
api_url="https://detect.roboflow.com",
api_key="<YOUR-API-KEY>"
)
results = client.run_workflow(
workspace_name="<your-workspace>",
workflow_id="<your-workflow-id>",
images={
"image": "<YOUR-IMAGE>",
},
enable_profiling=True,
)
See detailed report regarding speed optimisations in the PR https://github.com/roboflow/inference/pull/710
❗ Important note
As part of speed optimisation we enabled server-side caching for workflows definitions saved on Roboflow Platform - if you frequently change and your Workflow, to see results immediately you need to specify `use_cache=False` parameter of `client.run_workflow(...)` method
🔧 Fixed
* Fix prometheus scraping by robiscoding in https://github.com/roboflow/inference/pull/712
* Fix the problem with VLMs on batch inference by PawelPeczek-Roboflow in https://github.com/roboflow/inference/pull/718
🌱 Changed
* Docker auto-reload configuration by EmilyGavrilenko in https://github.com/roboflow/inference/pull/703
* Multi-Label Classification UQL Operations by EmilyGavrilenko in https://github.com/roboflow/inference/pull/714
* Add port forward to Notebook Landing Page message by hansent in https://github.com/roboflow/inference/pull/711
* Add optional descriptions to dynamic blocks by EmilyGavrilenko in https://github.com/roboflow/inference/pull/702
* Add descriptions to task types in `VLM as Detector` by PawelPeczek-Roboflow in https://github.com/roboflow/inference/pull/704
* Add tests for Google Vision OCR by PawelPeczek-Roboflow in https://github.com/roboflow/inference/pull/715
* Improvements regarding custom python blocks by PawelPeczek-Roboflow in https://github.com/roboflow/inference/pull/716
🏅 New Contributors
We do want to honor brunopicinin who made their first contribution to `inference` in https://github.com/roboflow/inference/pull/709 as a part of Hacktoberfest 2024. We invite other open-source community members to contribute 😄
**Full Changelog**: https://github.com/roboflow/inference/compare/v0.21.1...v0.22.0