DETReg
Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection". (by amirbar)
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite (by ultralytics)
DETReg | yolov3 | |
---|---|---|
1 | 4 | |
332 | 10,009 | |
- | 0.4% | |
2.8 | 8.4 | |
10 months ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DETReg
Posts with mentions or reviews of DETReg.
We have used some of these posts to build our list of alternatives
and similar projects.
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Researchers From Tel Aviv University, UC Berkeley and NVIDIA Introduce ‘DETReg’, A Novel Unsupervised AI For Object Detection
Codes: https://github.com/amirbar/DETReg
yolov3
Posts with mentions or reviews of yolov3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-23.
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[Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion.
Hey. I only have experience using the official repository, and only use Linux. Could you try the solutions here and see if it helps? https://github.com/ultralytics/yolov3/issues/1643
- How to train a model for object detection in Golang?
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Engineering Student AI model turns sign language to English in real time.
YOLOv3: https://github.com/ultralytics/yolov3
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I don't know how to train a YOLO v3 model with some custom data that is labeled in an unusual form (XML files)
Each image has an XML file associated with it. The XML files have the corresponding labels and bounding boxes, so I can write a script to convert them into this form, and follow this tutorial on training custom data.