roboflow-python
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roboflow
The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
```python rf = roboflow.Roboflow(api_key=API_KEY) workspace = rf.workspace(WORKSPACE) project = workspace.project(PROJECT_ID) filename = "vlcsnap-2024-08-28-19h46m52s829.png" results = [] for result in project.search_all(prompt=f'filename:"{filename}"'): results.extend(result) print(len(results)) ``` Running the code above returns every single...
Hi I am trying to deploy my model trained on local computer to RoboFlow. Deploy code: ``` import roboflow rf = roboflow.Roboflow(api_key=ROBOFLOW_API_KEY) project = rf.workspace("").project("") version = project.version(1) version.deploy("yolov9", "",...
import roboflow roboflow.login() rf = roboflow.Roboflow() # create a project >>>>>> copypastecode.py", line 8, in rf.create_project( ^^^^^^^^^^^^^^^^^ AttributeError: 'Roboflow' object has no attribute 'create_project' I am using version 1.1.53 on...
# Description A new "Confidence" argument has been added to the keypoint detection model (based on the confidence argument found in the object detection model) ## Type of change Please...
`` It has been impossible to upload a yolov5 model trained on a custom dataset. My folder ```` rf = roboflow.Roboflow(api_key="..") project = rf.workspace().project("...") version = project.version(2) version.deploy("yolov5", "yolov5/runs/train/exp2") ````...
``` import cv2 version = rf.workspace("model-examples").project("car-parts-instance-segmentation").version(3) dataset = version.download("yolov8") seg_model = version.model first_image_path = os.listdir(f"{dataset.location}/train/images")[0] first_image_path = f"{dataset.location}/train/images/{first_image_path}" seg_image = cv2.imread(first_image_path) assert seg_image is not None ``` ``` # Path...
# Description This PR adds support for numpy array inputs to the model.predict function, fixing issue #346. Previously, model.predict would fail when trying to process numpy array inputs in segmentation...
Hi, Is there any good reason why the version requirement for `opencv-python-headless` is `==4.10.0.84` and not `~=4.10.0` or `~=4.10.0.0` ?
Tested on several projects: * Glue tube keypoints: https://app.roboflow.com/model-examples/glue-tube-keypoints * Football pitch recognition below. ``` pip install supervision roboflow ``` ```python version = rf.workspace("roboflow-jvuqo").project("football-field-detection-f07vi").version(8) version.download("yolov8") kp_model = version.model assert kp_model...
i was trying to do EDA for the annotations.. and couldn't get the efficiency pulls for annotators .. like how many images did one annotator did or how many boxes...
