Cosine_metric_learning Alternatives

Similar projects and alternatives to cosine_metric_learning

yolo_tracking

8 6,126 9.9 Python cosine_metric_learning VS yolo_tracking

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
mot3d

1 8 0.0 Jupyter Notebook cosine_metric_learning VS mot3d

Fast Single View and Multiview Multi Object Tracking Using Minimum Cost Maximum Flow Formulation
InfluxDB

www.influxdata.com featured

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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better cosine_metric_learning alternative or higher similarity.

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cosine_metric_learning reviews and mentions

Posts with mentions or reviews of cosine_metric_learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-12.

tracking-by-detection, multiple object tracking algorithm
3 projects | /r/computervision | 12 May 2022

Hi! I have run into DeepSort but I think I am missing something. Once I opened this issue https://github.com/nwojke/cosine_metric_learning/issues/103 while trying to using it, but I think i was not so clear and the guy from DeepSort misunderstanded me. I saw that in DeepSort to train the appearance descriptor they use datasets which uses different views of the same object, for example the same white car will have both pictures in the training and in the test set. Instead I just have one photo for each instance. I think but I am not sure that this framework does not suit my problem due to this. Maybe I will post another question about this since It is a doubt that I am bringing with me.
Training a custom DeepSORT model (Cosine Metric Learning)
1 project | /r/computervision | 5 Mar 2021

I require the use of Deep SORT for tracking simulated vehicles, which I will need to retrain a model for since the original model is trained on person re-identification. I am trying to follow the original github repository for this https://github.com/nwojke/cosine_metric_learning but can't figure out how the dataset should be constructed.