Merge pull request #803 from roboflow/feature/clean_up_dependencies

Pin all dependencies and update to new versions of libs

development/stream_interface/workflows_demo.py

@@ -11,7 +11,7 @@
 from inference.core.utils.drawing import create_tiles
 
 STOP = False
-ANNOTATOR = sv.BoundingBoxAnnotator()
+ANNOTATOR = sv.BoxAnnotator()
 fps_monitor = sv.FPSMonitor()
 
 

development/workflows_examples/video_analysis/aggregating_objects_passing_data.py

@@ -122,7 +122,7 @@
 }
 
 STOP = False
-ANNOTATOR = sv.BoundingBoxAnnotator()
+ANNOTATOR = sv.BoxAnnotator()
 fps_monitor = sv.FPSMonitor()
 
 

development/workflows_examples/video_analysis/using_webhook_sink.py

@@ -208,7 +208,7 @@
 }
 
 STOP = False
-ANNOTATOR = sv.BoundingBoxAnnotator()
+ANNOTATOR = sv.BoxAnnotator()
 fps_monitor = sv.FPSMonitor()
 
 

docker/dockerfiles/Dockerfile.onnx.cpu

@@ -39,7 +39,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r requirements.yolo_world.txt \
     -r requirements.transformers.txt \
     jupyterlab \
-    wheel>=0.38.0 \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 
@@ -51,7 +51,7 @@ COPY --from=base / /
 WORKDIR /build
 COPY . .
 RUN make create_wheels
-RUN pip3 install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_cpu*.whl dist/inference_sdk*.whl
+RUN pip3 install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_cpu*.whl dist/inference_sdk*.whl setuptools<=75.5.0
 
 RUN if [ "${TARGETPLATFORM}" = "linux/amd64" ]; then pip3 install -r requirements/requirements.vino.txt; rm -rf ~/.cache/pip; fi
 

docker/dockerfiles/Dockerfile.onnx.cpu.dev

@@ -39,7 +39,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r requirements.yolo_world.txt \
     -r requirements.transformers.txt \
     jupyterlab \
-    wheel>=0.38.0 \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 
@@ -51,7 +51,7 @@ COPY --from=base / /
 WORKDIR /build
 COPY . .
 RUN make create_wheels
-RUN pip3 install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_cpu*.whl dist/inference_sdk*.whl
+RUN pip3 install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_cpu*.whl dist/inference_sdk*.whl setuptools<=75.5.0
 RUN pip3 install watchdog[watchmedo]
 RUN if [ "${TARGETPLATFORM}" = "linux/amd64" ]; then pip3 install -r requirements/requirements.vino.txt; rm -rf ~/.cache/pip; fi
 

docker/dockerfiles/Dockerfile.onnx.cpu.parallel

@@ -42,7 +42,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r requirements.parallel.txt \
     -r requirements.cli.txt \
     -r requirements.sdk.http.txt \
-    wheel>=0.38.0 \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 RUN apt-get update && apt-get install -y lsb-release curl gpg

docker/dockerfiles/Dockerfile.onnx.cpu.slim

@@ -32,7 +32,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r requirements.waf.txt \
     -r requirements.cli.txt \
     -r requirements.sdk.http.txt \
-    wheel>=0.38.0 \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.cpu.stream_manager

@@ -23,6 +23,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r _requirements.txt \
     -r requirements.cpu.txt \
     -r requirements.http.txt \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.gpu

@@ -44,6 +44,7 @@ RUN python3 -m pip install \
     -r requirements.yolo_world.txt \
     -r requirements.transformers.txt \
     jupyterlab \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 
@@ -60,7 +61,7 @@ WORKDIR /build
 COPY . .
 RUN ln -s /usr/bin/python3 /usr/bin/python
 RUN /bin/make create_wheels_for_gpu_notebook
-RUN pip3 install --no-cache-dir dist/inference_cli*.whl dist/inference_core*.whl dist/inference_gpu*.whl dist/inference_sdk*.whl
+RUN pip3 install --no-cache-dir dist/inference_cli*.whl dist/inference_core*.whl dist/inference_gpu*.whl dist/inference_sdk*.whl setuptools<=75.5.0
 
 WORKDIR /notebooks
 COPY examples/notebooks .

docker/dockerfiles/Dockerfile.onnx.gpu.dev

@@ -49,6 +49,7 @@ RUN python3 -m pip install \
     -r requirements.sdk.http.txt \
     -r requirements.cli.txt \
     jupyterlab \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.gpu.parallel

@@ -31,6 +31,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r requirements.waf.txt \
     -r requirements.gaze.txt \
     -r requirements.parallel.txt \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 
@@ -47,7 +48,7 @@ WORKDIR /build
 COPY . .
 RUN ln -s /usr/bin/python3 /usr/bin/python
 RUN /bin/make create_wheels_for_gpu_notebook
-RUN pip3 install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_gpu*.whl dist/inference_sdk*.whl
+RUN pip3 install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_gpu*.whl dist/inference_sdk*.whl setuptools<=75.5.0
 
 WORKDIR /notebooks
 COPY examples/notebooks .

docker/dockerfiles/Dockerfile.onnx.gpu.slim

@@ -27,7 +27,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r requirements.waf.txt \
     -r requirements.cli.txt \
     -r requirements.sdk.http.txt \
-    wheel>=0.38.0 \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.gpu.stream_manager

@@ -21,6 +21,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r _requirements.txt \
     -r requirements.http.txt \
     -r requirements.gpu.txt \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.jetson.4.5.0

@@ -42,6 +42,7 @@ RUN python3.8 -m pip install --upgrade pip wheel Cython && python3.8 -m pip inst
     -r requirements.sdk.http.txt \
     -r requirements.yolo_world.txt \
     jupyterlab \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.jetson.4.6.1

@@ -57,6 +57,7 @@ RUN python3.9 -m pip install --upgrade pip "h5py<=3.10.0" && python3.9 -m pip in
     -r requirements.sdk.http.txt \
     -r requirements.yolo_world.txt \
     jupyterlab \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1

@@ -52,6 +52,7 @@ RUN python3.9 -m pip install --upgrade pip  && python3.9 -m pip install \
     -r requirements.sdk.http.txt \
     -r requirements.yolo_world.txt \
     jupyterlab \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1.stream_manager

@@ -40,6 +40,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r _requirements.txt \
     -r requirements.clip.txt \
     -r requirements.http.txt \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.jetson.6.0.0

@@ -34,7 +34,8 @@ RUN python3 -m pip install --upgrade pip && \
     -r requirements/requirements.groundingdino.txt \
     -r requirements/requirements.sdk.http.txt \
     -r requirements/requirements.yolo_world.txt \
-    -r requirements/requirements.jetson.txt
+    -r requirements/requirements.jetson.txt \
+    setuptools<=75.5.0
 
 # Build the application
 WORKDIR /build
@@ -45,7 +46,7 @@ RUN rm -f dist/* && \
     python3 .release/pypi/inference.gpu.setup.py bdist_wheel && \
     python3 .release/pypi/inference.sdk.setup.py bdist_wheel && \
     python3 .release/pypi/inference.cli.setup.py bdist_wheel && \
-    python3 -m pip install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_gpu*.whl dist/inference_sdk*.whl
+    python3 -m pip install dist/inference_cli*.whl dist/inference_core*.whl dist/inference_gpu*.whl dist/inference_sdk*.whl setuptools<=75.5.0
 
 # Set up the application runtime
 WORKDIR /app

docker/dockerfiles/Dockerfile.onnx.lambda

@@ -47,6 +47,7 @@ RUN pip3 install \
     -r requirements.sdk.http.txt \
     -r requirements.yolo_world.txt \
     mangum \
+    setuptools<=75.5.0 \
     --upgrade \
     --target "${LAMBDA_TASK_ROOT}" \
     && rm -rf ~/.cache/pip

docker/dockerfiles/Dockerfile.onnx.lambda.slim

@@ -35,6 +35,7 @@ RUN pip3 install \
     -r requirements.hosted.txt \
     -r requirements.sdk.http.txt \
     mangum \
+    setuptools<=75.5.0 \
     --upgrade \
     --target "${LAMBDA_TASK_ROOT}" \
     && rm -rf ~/.cache/pip

docker/dockerfiles/Dockerfile.onnx.trt

@@ -33,6 +33,7 @@ RUN pip install --upgrade pip  && pip install \
     -r requirements.doctr.txt \
     -r requirements.groundingdino.txt \
     -r requirements.sdk.http.txt \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.onnx.udp.gpu

@@ -25,6 +25,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r requirements.clip.txt \
     -r requirements.http.txt \
     -r requirements.gpu.txt \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docker/dockerfiles/Dockerfile.stream_management_api

@@ -23,6 +23,7 @@ RUN pip3 install --upgrade pip  && pip3 install \
     -r _requirements.txt \
     -r requirements.cpu.txt \
     -r requirements.http.txt \
+    setuptools<=75.5.0 \
     --upgrade \
     && rm -rf ~/.cache/pip
 

docs/foundation/paligemma.md

@@ -122,7 +122,7 @@ print(response)
 
 detections = from_pali_gemma(response=response, resolution_wh=image.size, class_list=['person', 'car', 'backpack'])
 
-bounding_box_annotator = sv.BoundingBoxAnnotator()
+bounding_box_annotator = sv.BoxAnnotator()
 label_annotator = sv.LabelAnnotator()
 
 annotatrd_image = bounding_box_annotator.annotate(image, detections)

docs/foundation/yolo_world.md

@@ -43,7 +43,7 @@ YOLO World is faster than many other zero-shot object detection models like YOLO
 
     detections = sv.Detections.from_inference(results)
 
-    bounding_box_annotator = sv.BoundingBoxAnnotator()
+    bounding_box_annotator = sv.BoxAnnotator()
     label_annotator = sv.LabelAnnotator()
 
     labels = [classes[class_id] for class_id in detections.class_id]
@@ -98,7 +98,7 @@ YOLO World is faster than many other zero-shot object detection models like YOLO
 
     detections = sv.Detections.from_inference(results)
 
-    bounding_box_annotator = sv.BoundingBoxAnnotator()
+    bounding_box_annotator = sv.BoxAnnotator()
     label_annotator = sv.LabelAnnotator()
 
     labels = [classes[class_id] for class_id in detections.class_id]

docs/inference_helpers/inference_cli.md

@@ -234,8 +234,8 @@ inference infer -i {path_to_your_video_file} -m {your_project}/{version} -o {pat
 #### Configuration of visualisation
 Option `-c` can be provided with a path to `*.yml` file configuring `supervision` visualisation.
 There are few pre-defined configs:
-- `bounding_boxes` - with `BoundingBoxAnnotator` and `LabelAnnotator` annotators
-- `bounding_boxes_tracing` - with `ByteTracker` and annotators (`BoundingBoxAnnotator`, `LabelAnnotator`)
+- `bounding_boxes` - with `BoxAnnotator` and `LabelAnnotator` annotators
+- `bounding_boxes_tracing` - with `ByteTracker` and annotators (`BoxAnnotator`, `LabelAnnotator`)
 - `masks` - with `MaskAnnotator` and `LabelAnnotator` annotators
 - `polygons` - with `PolygonAnnotator` and `LabelAnnotator` annotators
 
@@ -255,17 +255,18 @@ annotators:
       trace_length: 60
       thickness: 2
 tracking:
-  track_thresh: 0.25
-  track_buffer: 30
-  match_thresh: 0.8
+  track_activation_threshold: 0.25
+  lost_track_buffer: 30
+  minimum_matching_threshold: 0.8
   frame_rate: 30
 ```
 `annotators` field is a list of dictionaries with two keys: `type` and `param`. `type` points to 
 name of annotator class:
 ```python
 from supervision import *
 ANNOTATOR_TYPE2CLASS = {
-    "bounding_box": BoundingBoxAnnotator,
+    "bounding_box": BoxAnnotator,
+    "box": BoxAnnotator,
     "mask": MaskAnnotator,
     "polygon": PolygonAnnotator,
     "color": ColorAnnotator,

docs/notebooks/inference_pipeline_rtsp.ipynb

@@ -151,7 +151,6 @@
     "zones = [\n",
     "    sv.PolygonZone(\n",
     "        polygon=polygon,\n",
-    "        frame_resolution_wh=[1440,2560],\n",
     "    )\n",
     "    for polygon\n",
     "    in polygons\n",

docs/quickstart/explore_models.md

@@ -35,7 +35,7 @@ results = model.infer(image)[0]
 detections = sv.Detections.from_inference(results)
 
 # create supervision annotators
-bounding_box_annotator = sv.BoundingBoxAnnotator()
+bounding_box_annotator = sv.BoxAnnotator()
 label_annotator = sv.LabelAnnotator()
 
 # annotate the image with our inference results

docs/quickstart/load_from_universe.md

@@ -50,7 +50,7 @@ results = model.infer(image)
 detections = sv.Detections.from_inference(results[0].dict(by_alias=True, exclude_none=True))
 
 # create supervision annotators
-bounding_box_annotator = sv.BoundingBoxAnnotator()
+bounding_box_annotator = sv.BoxAnnotator()
 label_annotator = sv.LabelAnnotator()
 
 # annotate the image with our inference results

docs/quickstart/run_model_on_rtsp_webcam.md

@@ -126,7 +126,7 @@ import supervision as sv
 
 # create a bounding box annotator and label annotator to use in our custom sink
 label_annotator = sv.LabelAnnotator()
-box_annotator = sv.BoundingBoxAnnotator()
+box_annotator = sv.BoxAnnotator()
 
 def my_custom_sink(predictions: dict, video_frame: VideoFrame):
     # get the text labels for each prediction

docs/using_inference/http_api.md

@@ -46,6 +46,10 @@ results = client.infer(image_url, model_id=model_id)
 ### Visualize Results
 
 ```python
+import os
+
+import cv2
+import supervision as sv
 from inference_sdk import InferenceHTTPClient, InferenceConfiguration
 
 model_id = "soccer-players-5fuqs/1"
@@ -66,7 +70,7 @@ result = client.infer(image, model_id=model_id)
 detections = sv.Detections.from_inference(result)
 
 #Create Supervision annotators
-bounding_box_annotator = sv.BoundingBoxAnnotator()
+bounding_box_annotator = sv.BoxAnnotator()
 label_annotator = sv.LabelAnnotator()
 
 #Extract labels array from inference results

docs/using_inference/native_python_api.md

@@ -54,7 +54,7 @@ results = model.infer(image)[0]
 detections = sv.Detections.from_inference(results)
 
 # Create Supervision annotators
-bounding_box_annotator = sv.BoundingBoxAnnotator()
+bounding_box_annotator = sv.BoxAnnotator()
 label_annotator = sv.LabelAnnotator()
 
 # Extract labels array from inference results

docs/workflows/create_workflow_block.md

@@ -1579,7 +1579,7 @@ the method signatures.
                 crops: Batch[WorkflowImageData],
                 crops_predictions: Batch[sv.Detections],
             ) -> BlockResult:
-                annotator = sv.BoundingBoxAnnotator()
+                annotator = sv.BoxAnnotator()
                 visualisations = []
                 for image, prediction in zip(crops, crops_predictions):
                     annotated_image = annotator.annotate(
@@ -1867,7 +1867,7 @@ the method signatures.
                 images_crops: Batch[Batch[WorkflowImageData]],
                 crops_predictions: Batch[Batch[sv.Detections]],
             ) -> BlockResult:
-                annotator = sv.BoundingBoxAnnotator()
+                annotator = sv.BoxAnnotator()
                 visualisations = []
                 for image_crops, crop_predictions in zip(images_crops, crops_predictions):
                     visualisations_batch_element = []

examples/notebooks/inference_sdk.ipynb

@@ -151,7 +151,7 @@
     "detections = sv.Detections.from_inference(results)\n",
     "\n",
     "#Initialize annotators\n",
-    "bounding_box_annotator = sv.BoundingBoxAnnotator()\n",
+    "bounding_box_annotator = sv.BoxAnnotator()\n",
     "label_annotator = sv.LabelAnnotator()\n",
     "\n",
     "#Get class labels from inference results\n",

examples/notebooks/quickstart.ipynb

@@ -170,7 +170,7 @@
     "detections = sv.Detections.from_inference(result.dict(by_alias=True, exclude_none=True))\n",
     "\n",
     "#Initialize annotators\n",
-    "bounding_box_annotator = sv.BoundingBoxAnnotator()\n",
+    "bounding_box_annotator = sv.BoxAnnotator()\n",
     "label_annotator = sv.LabelAnnotator()\n",
     "\n",
     "#Get class labels from inference results\n",