v1.0.1

Added support for more model deploy types. Supported types are:

• YOLOv5 Object Detection
• YOLOv5 Instance Segmentation
• YOLOv7 Instance Segmentation
• YOLOv8 Object Detection
• YOLOv8 Instance Segmentation
• YOLOv8 Classification

v1.0.0

In this PR we release a few new top level methods:

.login()
.load_model()

And a cool new model method:

.webcam()

.login() will make life a lot easier, and we'll be working to propagate it throughout out docs + tutorials.

Cheers,
Team Roboflow

v0.2.34

We removed the test pypi publish from our publish action, as we often do that manually ahead of time

0.2.33

We fixed a bug with classification inference response decoding from the new Roboflow Inference server

0.2.32

• fix bug in download version for datasets that don't have a data.yaml file or when the project url
• fix bug in upload annotation function when project url is different than the project name

0.2.31

Added support for uploading classification annotation file names in the __annotation_upload() function. See PR: #116

Multiple feature upgrades Feb 17 2023.

Key features upgraded in this release:

• Fixes Yolov8 data loader (#113)
• Image tag upload support (#114)
• Support for Yolov7 model upload for segmentation (#111)
• Sequence number ordering upload support (#115)

0.2.29

• fix version conversion number in util.version
• better error messages when downloading a dataset
• additional check for ultralytics when downloading an exported dataset

0.2.28

In this release, we provide support for YOLOv5 external model uploads to Roboflow Deploy 🚀

0.2.27

In this release, we back-support older versions of ultralytics yolov8 uploads.