chore(pre_commit): ⬆ pre_commit autoupdate (#2075)
* chore(pre_commit): ⬆ pre_commit autoupdate updates: - [github.com/astral-sh/ruff-pre-commit: v0.14.10 → v0.14.11](https://github.com/astral-sh/ruff-pre-commit/compare/v0.14.10...v0.14.11) - [github.com/executablebooks/mdformat: 0.7.17 → 1.0.0](https://github.com/executablebooks/mdformat/compare/0.7.17...1.0.0) * fix(pre_commit): 🎨 auto format pre-commit hooks * Apply suggestions from code review --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com> Co-authored-by: jirka <jirka.borovec@seznam.cz>
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@ -23,7 +23,7 @@ repos:
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- id: mixed-line-ending
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.14.10
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rev: v0.14.11
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hooks:
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- id: ruff-check
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args: [--fix]
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@ -31,7 +31,7 @@ repos:
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types_or: [ python, pyi, jupyter ]
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- repo: https://github.com/executablebooks/mdformat
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rev: 0.7.17
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rev: 1.0.0
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hooks:
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- id: mdformat
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additional_dependencies:
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@ -78,7 +78,7 @@ len(detections)
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from inference import get_model
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image = cv2.imread(...)
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model = get_model(model_id="yolov8s-640", api_key=<ROBOFLOW API KEY>)
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model = get_model(model_id="yolov8s-640", api_key="ROBOFLOW_API_KEY")
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result = model.infer(image)[0]
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detections = sv.Detections.from_inference(result)
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@ -113,8 +113,8 @@ Supervision provides a set of [utils](https://supervision.roboflow.com/latest/da
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import supervision as sv
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from roboflow import Roboflow
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project = Roboflow().workspace(<WORKSPACE_ID>).project(<PROJECT_ID>)
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dataset = project.version(<PROJECT_VERSION>).download("coco")
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project = Roboflow().workspace("WORKSPACE_ID").project("PROJECT_ID")
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dataset = project.version("PROJECT_VERSION").download("coco")
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ds = sv.DetectionDataset.from_coco(
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images_directory_path=f"{dataset.location}/train",
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@ -122,10 +122,11 @@ ds = sv.DetectionDataset.from_coco(
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)
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path, image, annotation = ds[0]
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# loads image on demand
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# loads image on demand
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for path, image, annotation in ds:
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# loads image on demand
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pass
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```
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<details close>
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@ -21,7 +21,7 @@ https://github.com/roboflow/supervision/assets/26109316/f84db7b5-79e2-4142-a1da-
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cd supervision/examples/count_people_in_zone
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```
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- setup python environment and activate it \[optional\]
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- setup python environment and activate it [optional]
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```bash
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python3 -m venv venv
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@ -110,7 +110,7 @@ https://github.com/roboflow/supervision/assets/26109316/f84db7b5-79e2-4142-a1da-
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```bash
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python inference_example.py \
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--roboflow_api_key <ROBOFLOW API KEY> \
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--roboflow_api_key "ROBOFLOW_API_KEY" \
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--zone_configuration_path data/multi-zone-config.json \
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--source_video_path data/market-square.mp4 \
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--confidence_threshold 0.3 \
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@ -15,7 +15,7 @@ supervision package for multiple tasks such as drawing heatmap annotations, trac
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cd supervision/examples/heatmap_and_track
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```
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- setup python environment and activate it \[optional\]
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- setup python environment and activate it [optional]
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```bash
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python3 -m venv venv
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@ -11,7 +11,7 @@ supervision package for multiple tasks such as tracking, annotations, etc.
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https://github.com/roboflow/supervision/assets/26109316/d50118c1-2ae4-458d-915a-5d860fd36f71
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> \[!IMPORTANT\]
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> [!IMPORTANT]
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> Adjust the [`SOURCE`](https://github.com/roboflow/supervision/blob/e32b05a636dab2ea1f39299e529c4b22b8baa8da/examples/speed_estimation/ultralytics_example.py#L10)
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> and [`TARGET`](https://github.com/roboflow/supervision/blob/e32b05a636dab2ea1f39299e529c4b22b8baa8da/examples/speed_estimation/ultralytics_example.py#L15)
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> configuration if you plan to run a speed estimation script on your video file. Those must be adjusted separately for each camera view. You can learn more
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@ -26,7 +26,7 @@ https://github.com/roboflow/supervision/assets/26109316/d50118c1-2ae4-458d-915a-
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cd supervision/examples/speed_estimation
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```
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- setup python environment and activate it \[optional\]
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- setup python environment and activate it [optional]
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```bash
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python3.10 -m venv venv
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@ -90,7 +90,7 @@ https://github.com/roboflow/supervision/assets/26109316/d50118c1-2ae4-458d-915a-
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```bash
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python inference_example.py \
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--roboflow_api_key <ROBOFLOW API KEY> \
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--roboflow_api_key "ROBOFLOW_API_KEY" \
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--source_video_path data/vehicles.mp4 \
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--target_video_path data/vehicles-result.mp4 \
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--confidence_threshold 0.3 \
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@ -20,7 +20,7 @@ https://github.com/roboflow/supervision/assets/26109316/d051cc8a-dd15-41d4-aa36-
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cd supervision/examples/time_in_zone
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```
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- setup python environment and activate it \[optional\]
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- setup python environment and activate it [optional]
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```bash
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python3 -m venv venv
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@ -14,7 +14,7 @@ detection and Supervision for tracking and annotation.
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cd supervision/examples/tracking
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```
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- setup python environment and activate it \[optional\]
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- setup python environment and activate it [optional]
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```bash
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python3 -m venv venv
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@ -79,7 +79,7 @@ detection and Supervision for tracking and annotation.
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```bash
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python inference_example.py \
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--roboflow_api_key <ROBOFLOW API KEY> \
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--roboflow_api_key "ROBOFLOW_API_KEY" \
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--source_video_path input.mp4 \
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--target_video_path tracking_result.mp4
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```
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@ -17,7 +17,7 @@ https://github.com/roboflow/supervision/assets/26109316/c9436828-9fbf-4c25-ae8c-
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cd supervision/examples/traffic_analysis
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```
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- setup python environment and activate it \[optional\]
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- setup python environment and activate it [optional]
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```bash
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python3 -m venv venv
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@ -101,7 +101,7 @@ https://github.com/roboflow/supervision/assets/26109316/c9436828-9fbf-4c25-ae8c-
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```bash
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python inference_example.py \
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--roboflow_api_key <ROBOFLOW API KEY> \
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--roboflow_api_key "ROBOFLOW_API_KEY" \
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--source_video_path data/traffic_analysis.mov \
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--confidence_threshold 0.3 \
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--iou_threshold 0.5 \
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