Py-motmetrics Alternatives

Similar projects and alternatives to py-motmetrics

• Yolo_mark

  6 1,783 10.0 C++ py-motmetrics VS Yolo_mark

  GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

• multi-object-tracker

  4 666 6.4 Python py-motmetrics VS multi-object-tracker

  Multi-object trackers in Python

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• VolleyVision

  2 139 8.7 Python py-motmetrics VS VolleyVision

  Applying Deep Learning Approaches to Volleyball Data

• zero-shot-object-tracking

  10 349 0.6 Python py-motmetrics VS zero-shot-object-tracking

  Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

  

• yolov4-deepsort

  5 1,285 0.0 Python py-motmetrics VS yolov4-deepsort

  Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

• classy-sort-yolov5

  1 107 0.0 Python py-motmetrics VS classy-sort-yolov5

  Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.

• Deep-SORT-YOLOv4

  1 492 0.0 Python py-motmetrics VS Deep-SORT-YOLOv4

  People detection and optional tracking with Tensorflow backend.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• UNINEXT

  2 1,438 5.5 Python py-motmetrics VS UNINEXT

  [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

• trajectopy-core

  1 1 9.2 Python py-motmetrics VS trajectopy-core

  Trajectopy - Trajectory Evaluation in Python

• ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions

  1 157 0.0 Python py-motmetrics VS ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions

  The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.